In [1]:
# Hiding the warnings
import warnings
warnings.filterwarnings('ignore')
Importing all the necessary libraries¶
In [2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Used to display all the matplotlib graphs inside the notebook
%matplotlib inline
import seaborn as sns
In [3]:
sns.set() # Setting the default seaborn style for all the plots
1) Reading the data¶
In [4]:
data = pd.read_csv('Part- 1,2&3 - Signal.csv') # Storing the given data into a data frame called as "data"
Exploratory Data Analysis¶
2) Number of records, structure of the file, number of attributes¶
In [5]:
data.shape # The data has got 195 rows and 24 columns
Out[5]:
(1599, 12)
In [6]:
data.head() # Checking the head of the data frame
Out[6]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 4 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
| 1 | 7.8 | 0.88 | 0.00 | 2.6 | 0.098 | 25.0 | 67.0 | 0.9968 | 3.20 | 0.68 | 9.8 | 5 |
| 2 | 7.8 | 0.76 | 0.04 | 2.3 | 0.092 | 15.0 | 54.0 | 0.9970 | 3.26 | 0.65 | 9.8 | 5 |
| 3 | 11.2 | 0.28 | 0.56 | 1.9 | 0.075 | 17.0 | 60.0 | 0.9980 | 3.16 | 0.58 | 9.8 | 6 |
| 4 | 7.4 | 0.70 | 0.00 | 1.9 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
In [7]:
# Checking for duplicates and removing the duplicates
print('The shape before removing the duplicates from the data set is :',data.shape)
data = data.drop_duplicates()
print('The shape after removing the duplicates from the data set is :',data.shape)
The shape before removing the duplicates from the data set is : (1599, 12) The shape after removing the duplicates from the data set is : (1359, 12)
In [8]:
data.info() # Checking for the data type of each of the variables and the number of non-null values
<class 'pandas.core.frame.DataFrame'> Int64Index: 1359 entries, 0 to 1598 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Parameter 1 1359 non-null float64 1 Parameter 2 1359 non-null float64 2 Parameter 3 1359 non-null float64 3 Parameter 4 1359 non-null float64 4 Parameter 5 1359 non-null float64 5 Parameter 6 1359 non-null float64 6 Parameter 7 1359 non-null float64 7 Parameter 8 1359 non-null float64 8 Parameter 9 1359 non-null float64 9 Parameter 10 1359 non-null float64 10 Parameter 11 1359 non-null float64 11 Signal_Strength 1359 non-null int64 dtypes: float64(11), int64(1) memory usage: 138.0 KB
In [9]:
data.nunique() # Getting a count of number of unique values in each column so as to identify the continuous and discrete variables
Out[9]:
Parameter 1 96 Parameter 2 143 Parameter 3 80 Parameter 4 91 Parameter 5 153 Parameter 6 60 Parameter 7 144 Parameter 8 436 Parameter 9 89 Parameter 10 96 Parameter 11 65 Signal_Strength 6 dtype: int64
3) The five point summary of the continuous variables¶
In [10]:
data.describe().T
Out[10]:
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| Parameter 1 | 1359.0 | 8.310596 | 1.736990 | 4.60000 | 7.1000 | 7.9000 | 9.20000 | 15.90000 |
| Parameter 2 | 1359.0 | 0.529478 | 0.183031 | 0.12000 | 0.3900 | 0.5200 | 0.64000 | 1.58000 |
| Parameter 3 | 1359.0 | 0.272333 | 0.195537 | 0.00000 | 0.0900 | 0.2600 | 0.43000 | 1.00000 |
| Parameter 4 | 1359.0 | 2.523400 | 1.352314 | 0.90000 | 1.9000 | 2.2000 | 2.60000 | 15.50000 |
| Parameter 5 | 1359.0 | 0.088124 | 0.049377 | 0.01200 | 0.0700 | 0.0790 | 0.09100 | 0.61100 |
| Parameter 6 | 1359.0 | 15.893304 | 10.447270 | 1.00000 | 7.0000 | 14.0000 | 21.00000 | 72.00000 |
| Parameter 7 | 1359.0 | 46.825975 | 33.408946 | 6.00000 | 22.0000 | 38.0000 | 63.00000 | 289.00000 |
| Parameter 8 | 1359.0 | 0.996709 | 0.001869 | 0.99007 | 0.9956 | 0.9967 | 0.99782 | 1.00369 |
| Parameter 9 | 1359.0 | 3.309787 | 0.155036 | 2.74000 | 3.2100 | 3.3100 | 3.40000 | 4.01000 |
| Parameter 10 | 1359.0 | 0.658705 | 0.170667 | 0.33000 | 0.5500 | 0.6200 | 0.73000 | 2.00000 |
| Parameter 11 | 1359.0 | 10.432315 | 1.082065 | 8.40000 | 9.5000 | 10.2000 | 11.10000 | 14.90000 |
| Signal_Strength | 1359.0 | 5.623252 | 0.823578 | 3.00000 | 5.0000 | 6.0000 | 6.00000 | 8.00000 |
In [11]:
corr = data.corr() # Finding the correlation between the variables
In [12]:
fig, ax = plt.subplots(figsize=(15,15))
sns.heatmap(corr, annot=True,ax=ax)
Out[12]:
<matplotlib.axes._subplots.AxesSubplot at 0x2554e166f10>
4) Observing the distribution of the target variable¶
In [13]:
%matplotlib inline
data.hist(['Signal_Strength'], figsize=[10,3])
Out[13]:
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002554F235EB0>]],
dtype=object)
In [14]:
grouped_data = data.groupby('Signal_Strength').size()
print(grouped_data)
Signal_Strength 3 10 4 53 5 577 6 535 7 167 8 17 dtype: int64
Clearly, we can see that signals 5 and 6 are dominating¶
In [15]:
sns.countplot(x="Signal_Strength",data=data,alpha=0.7)
Out[15]:
<matplotlib.axes._subplots.AxesSubplot at 0x2554f2a4e80>
In [16]:
from scipy import stats
print('The skewness of signal strength is :',stats.skew(data['Signal_Strength']))
The skewness of signal strength is : 0.19219415286935035
- We can see that the data is almost normally distributed with slight skewness on the RHS.¶
5) Distributions of the predictors (continuous)¶
In [17]:
X = data.drop('Signal_Strength',axis=1)
In [18]:
c_cols = X.columns.to_list()
for column in c_cols :
plt.close()
sns.distplot(data[column])
plt.show()
1) All the parameters are skewed towards the right hand side.¶
2) Parameters 2 and 3 have bimodal and trimodal tendencies.¶
3) Parameters 4 and 5 are extremely skewed towards the right and might not play good roles as predictors.¶
4) Parameters 8 and 9 are normally skewed with very slight right side skewness.¶
In [19]:
# Checking for the skewness is the predictors
from scipy import stats
skews = []
for i in c_cols:
skew = stats.skew(data[i])
skews.append(skew)
for i in range(len(skews)) :
print('The skewness of ',c_cols[i],'is: ',skews[i])
The skewness of Parameter 1 is: 0.9400023708308168 The skewness of Parameter 2 is: 0.7284737558284394 The skewness of Parameter 3 is: 0.31238026482516323 The skewness of Parameter 4 is: 4.543131827144295 The skewness of Parameter 5 is: 5.496412046041327 The skewness of Parameter 6 is: 1.2252252433705406 The skewness of Parameter 7 is: 1.538667370663026 The skewness of Parameter 8 is: 0.04472841688833082 The skewness of Parameter 9 is: 0.2317760903753284 The skewness of Parameter 10 is: 2.403847613657584 The skewness of Parameter 11 is: 0.8588918260413719
------------------------------------------OUTLIER TREATMENT------------------------------------------¶
In [20]:
scatter_plot=pd.plotting.scatter_matrix(data, figsize=(20,20))
In [21]:
# Using boxplots to find out the outliers (Bivariate Analysis)
for i in c_cols:
data.boxplot(i,by='Signal_Strength')
plt.tight_layout()
plt.title('',y=1.08)
plt.xlabel('Signal_Strength')
plt.ylabel(i)
-I have replaced only the extreme points among the outliers with a logical value (the max value of that variable for that particular class(3/4/5/6/7/8))¶
Outlier treatment for 'Parameter 1'¶
In [22]:
value1 = data[data['Signal_Strength']==4]['Parameter 1'].max()
value1
Out[22]:
12.5
In [23]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==4)]['Parameter 1'].max()
In [24]:
value2
Out[24]:
12.0
In [25]:
value3 = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==4)]['Parameter 1'].max()
In [26]:
value3
Out[26]:
11.6
In [27]:
value = data[(data['Parameter 1']<value3) & (data['Signal_Strength']==4)]['Parameter 1'].max()
In [28]:
value
Out[28]:
10.5
In [29]:
data['Parameter 1'][(data['Signal_Strength']==4) & (data['Parameter 1']>=value3)]=value # Replacing the outlier with the logical value
In [30]:
value1 = data[data['Signal_Strength']==5]['Parameter 1'].max()
value1
Out[30]:
15.9
In [31]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==5)]['Parameter 1'].max()
value2
Out[31]:
15.6
In [32]:
value3 = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==5)]['Parameter 1'].max()
value3
Out[32]:
15.5
In [33]:
value4 = data[(data['Parameter 1']<value3) & (data['Signal_Strength']==5)]['Parameter 1'].max()
value4
Out[33]:
13.5
In [34]:
data['Parameter 1'][(data['Signal_Strength']==5) & (data['Parameter 1']>=value3)]=value4 # Replacing the outlier with the logical value
In [35]:
value1 = data[data['Signal_Strength']==7]['Parameter 1'].max()
value1
Out[35]:
15.6
In [36]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==7)]['Parameter 1'].max()
value2
Out[36]:
15.0
In [37]:
value = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==7)]['Parameter 1'].max()
value
Out[37]:
13.3
In [38]:
data['Parameter 1'][(data['Signal_Strength']==7) & (data['Parameter 1']>=value2)]=value # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 2'¶
In [39]:
value1 = data[data['Signal_Strength']==3]['Parameter 2'].max()
value1
Out[39]:
1.58
In [40]:
value=1.33
In [41]:
data['Parameter 2'][(data['Signal_Strength']==3) & (data['Parameter 2']>=value1)]=value # Replacing the outlier with the logical value
In [42]:
value1 = data[(data['Signal_Strength']==5) & (data['Parameter 2']<1.1)]['Parameter 2'].max()
value1
Out[42]:
1.07
In [43]:
data['Parameter 2'][(data['Signal_Strength']==5) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value
In [44]:
value1 = data[(data['Signal_Strength']==7) & (data['Parameter 2']<0.8)]['Parameter 2'].max()
value1
Out[44]:
0.735
In [45]:
data['Parameter 2'][(data['Signal_Strength']==7) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value
In [46]:
value1 = data[(data['Signal_Strength']==8) & (data['Parameter 2']<0.8)]['Parameter 2'].max()
value1
Out[46]:
0.62
In [47]:
data['Parameter 2'][(data['Signal_Strength']==8) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 3'¶
In [48]:
value1 = data[(data['Signal_Strength']==4) & (data['Parameter 3']<0.8)]['Parameter 3'].max()
value1
Out[48]:
0.54
In [49]:
data['Parameter 3'][(data['Signal_Strength']==4) & (data['Parameter 3']>value1)]=value1 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 4'¶
In [50]:
value1 = data[data['Parameter 4']<5]['Parameter 4'].max()
value1
Out[50]:
4.8
In [51]:
data['Parameter 4'][(data['Parameter 4']>value1)]=value1 # Replacing the outlier with the logical value
In [52]:
value2 = data[data['Parameter 4']<4]['Parameter 4'].max()
value2
Out[52]:
3.9
In [53]:
data['Parameter 4'][(data['Parameter 4']>value2)]=value2 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 5'¶
In [54]:
value1 = data[data['Parameter 5']<0.25]['Parameter 5'].max()
value1
Out[54]:
0.243
In [55]:
data['Parameter 5'][(data['Parameter 5']>value1)]=value1 # Replacing the outlier with the logical value
In [56]:
value2 = data[data['Parameter 5']<=0.2]['Parameter 5'].max()
value2
Out[56]:
0.2
In [57]:
data['Parameter 5'][(data['Parameter 5']>value2)]=value2 # Replacing the outlier with the logical value
In [58]:
data['Parameter 5'][(data['Signal_Strength']==4) & (data['Parameter 5']>0.11)]=0.11 # Replacing the outlier with the logical value
In [59]:
data['Parameter 5'][(data['Signal_Strength']==5) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value
In [60]:
data['Parameter 5'][(data['Signal_Strength']==6) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value
In [61]:
data['Parameter 5'][(data['Signal_Strength']==7) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 11'¶
In [62]:
data['Parameter 11'][(data['Signal_Strength']==5) & (data['Parameter 11']>12)]=12 # Replacing the outlier with the logical value
In [63]:
data['Parameter 11'][(data['Signal_Strength']==6) & (data['Parameter 11']>13.2)]=13.2 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 10'¶
In [64]:
data['Parameter 10'][(data['Signal_Strength']==3) & (data['Parameter 10']>0.75)]=0.75 # Replacing the outlier with the logical value
In [65]:
data['Parameter 10'][(data['Signal_Strength']==8) & (data['Parameter 10']>0.85)]=0.85 # Replacing the outlier with the logical value
In [66]:
data['Parameter 10'][(data['Signal_Strength']==5) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [67]:
data['Parameter 10'][(data['Signal_Strength']==6) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [68]:
data['Parameter 10'][(data['Signal_Strength']==7) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [69]:
data['Parameter 10'][(data['Signal_Strength']==4) & (data['Parameter 10']>0.73)]=0.73 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 9'¶
In [70]:
data['Parameter 9'][(data['Parameter 9']>3.8)]=3.75 # Replacing the outlier with the logical value
In [71]:
data['Parameter 9'][(data['Signal_Strength']==7) & (data['Parameter 9']>3.6)]=3.58 # Replacing the outlier with the logical value
In [72]:
data['Parameter 9'][(data['Signal_Strength']==8) & (data['Parameter 9']>3.6)]=3.58 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 8'¶
In [73]:
data['Parameter 8'][(data['Parameter 8']>1.002)]=1.001 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 6'¶
In [74]:
data['Parameter 6'][(data['Parameter 6']>50)]=44 # Replacing the outlier with the logical value
In [75]:
data['Parameter 6'][(data['Signal_Strength']==3) & (data['Parameter 6']>20)]=20 # Replacing the outlier with the logical value
In [76]:
data['Parameter 6'][(data['Signal_Strength']==4) & (data['Parameter 6']>27)]=27 # Replacing the outlier with the logical value
In [77]:
data['Parameter 6'][(data['Signal_Strength']==7) & (data['Parameter 6']>32)]=32 # Replacing the outlier with the logical value
In [78]:
data['Parameter 6'][(data['Signal_Strength']==8) & (data['Parameter 6']>30)]=30 # Replacing the outlier with the logical value
In [79]:
data['Parameter 6'][(data['Signal_Strength']==6) & (data['Parameter 6']>44)]=44 # Replacing the outlier with the logical value
Outlier treatment for 'Parameter 7'¶
In [80]:
data['Parameter 7'][(data['Signal_Strength']==7) & (data['Parameter 7']>108)]=108 # Replacing the outlier with the logical value
In [81]:
data['Parameter 7'][(data['Signal_Strength']==4) & (data['Parameter 7']>85)]=85 # Replacing the outlier with the logical value
In [82]:
data['Parameter 7'][(data['Signal_Strength']==6) & (data['Parameter 7']>115)]=115 # Replacing the outlier with the logical value
Plotting the boxplots after outlier treatment¶
In [83]:
for i in c_cols:
data.boxplot(i,by='Signal_Strength')
plt.tight_layout()
plt.title('',y=1.08)
plt.xlabel('Signal_Strength')
plt.ylabel(i)
-The outliers are still present but there are no extreme points as such.¶
7) Feature Selection using statistical tests¶
ANOVA test (Categorical vs Continuous)¶
H0 : There is NO relation between the given variables (p > 0.05)
H1 : There is a relation between the given variables (p <= 0.05)
In [84]:
from scipy.stats import f_oneway
anova = []
for i in c_cols :
l = data.groupby('Signal_Strength')[i].apply(list)
res = f_oneway(*l)
anova.append(i +':'+str(res[1]))
for i in anova:
print(i)
Parameter 1:4.165941069157666e-05 Parameter 2:1.6549587279525718e-52 Parameter 3:2.4657384244442764e-16 Parameter 4:0.11636524222594663 Parameter 5:5.177291851880672e-17 Parameter 6:1.910064119941657e-06 Parameter 7:1.3146222025910915e-27 Parameter 8:9.716220326684017e-13 Parameter 9:0.00036803258973076733 Parameter 10:1.0269164884598126e-30 Parameter 11:1.0231005377751742e-99
-By looking at the p-values for each of the variables, all the variables have importance except 'Parameter 4'. So, I am dropping 'Parameter 4'.¶
In [85]:
data.drop('Parameter 4',axis=1,inplace=True)
8) Checking for null values in each of the columns¶
In [86]:
data.isnull().sum()
Out[86]:
Parameter 1 0 Parameter 2 0 Parameter 3 0 Parameter 5 0 Parameter 6 0 Parameter 7 0 Parameter 8 0 Parameter 9 0 Parameter 10 0 Parameter 11 0 Signal_Strength 0 dtype: int64
-There are no null values present in the data set¶
9) Saving the dataframe as a pickle file so that the data can be loaded quickly and used in the models¶
In [87]:
data.to_pickle('Signal_data.pickle')
In [88]:
signal_data = pd.read_pickle('signal_data.pickle')
signal_data.head()
Out[88]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.70 | 0.00 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
| 1 | 7.8 | 0.88 | 0.00 | 0.098 | 25.0 | 67.0 | 0.9968 | 3.20 | 0.68 | 9.8 | 5 |
| 2 | 7.8 | 0.76 | 0.04 | 0.092 | 15.0 | 54.0 | 0.9970 | 3.26 | 0.65 | 9.8 | 5 |
| 3 | 11.2 | 0.28 | 0.56 | 0.075 | 17.0 | 60.0 | 0.9980 | 3.16 | 0.58 | 9.8 | 6 |
| 5 | 7.4 | 0.66 | 0.00 | 0.075 | 13.0 | 40.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 5 |
-The data has been processed and can be used in the models.¶
--------------------------------------------------------------------------------------------------------------¶
Deep Learning¶
PART I - Neural Network Regressor¶
In [89]:
# Separate Target Variable and Predictor Variables
TargetVariable=['Signal_Strength']
Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()
X=signal_data[Predictors].values
y=signal_data[TargetVariable].values
### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()
TargetVarScaler=StandardScaler()
# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X)
TargetVarScalerFit=TargetVarScaler.fit(y)
# Generating the standardized values of X and y
X=PredictorScalerFit.transform(X)
y=TargetVarScalerFit.transform(y)
# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
In [90]:
# Quick sanity check with the shapes of Training and testing datasets
print(X_train.shape)
print(y_train.shape)
print(X_test.shape)
print(y_test.shape)
(951, 10) (951, 1) (408, 10) (408, 1)
In [91]:
# Standardized predictors
X[0:3]
Out[91]:
array([[-0.5282849 , 0.95873037, -1.39770453, -0.29045961, -0.47582463,
-0.38984665, 0.6032595 , 1.33014879, -0.63785313, -0.9656283 ],
[-0.29335716, 1.96318301, -1.39770453, 0.81495808, 0.95412947,
0.64876402, 0.05697589, -0.71719469, 0.19451535, -0.58799575],
[-0.29335716, 1.29354792, -1.19215529, 0.51348053, -0.06726632,
0.23961436, 0.16623261, -0.32093466, -0.01357677, -0.58799575]])
In [92]:
# Inverse transform will take the data back to original form
PredictorScalerFit.inverse_transform(X)[0:3]
Out[92]:
array([[7.400e+00, 7.000e-01, 0.000e+00, 7.600e-02, 1.100e+01, 3.400e+01,
9.978e-01, 3.510e+00, 5.600e-01, 9.400e+00],
[7.800e+00, 8.800e-01, 0.000e+00, 9.800e-02, 2.500e+01, 6.700e+01,
9.968e-01, 3.200e+00, 6.800e-01, 9.800e+00],
[7.800e+00, 7.600e-01, 4.000e-02, 9.200e-02, 1.500e+01, 5.400e+01,
9.970e-01, 3.260e+00, 6.500e-01, 9.800e+00]])
Regression using Deep Learning- Artificial Neural Networks(ANN)¶
In [93]:
from keras.models import Sequential
from keras.layers import Dense
Finding best set of parameters using Manual Grid Search¶
In [94]:
def FunctionFindBestParams(X_train, y_train, X_test, y_test):
# Defining the list of hyper parameters to try
batch_size_list=[5, 10, 15, 20, 25, 30, 50]
epoch_list = [5, 10, 50, 100, 150, 200, 250]
import pandas as pd
SearchResultsData=pd.DataFrame(columns=['TrialNumber', 'Parameters', 'Accuracy'])
# initializing the trials
TrialNumber=0
for batch_size_trial in batch_size_list:
for epochs_trial in epoch_list:
TrialNumber+=1
# create ANN model
model = Sequential()
# Defining the first layer of the model
model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
# Defining the Second layer of the model
model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
# The output neuron is a single fully connected node
# Since we will be predicting a single number
model.add(Dense(1, kernel_initializer='normal'))
# Compiling the model
model.compile(loss='mean_squared_error', optimizer='adam')
# Fitting the ANN to the Training set
model.fit(X_train, y_train ,batch_size = batch_size_trial, epochs = 10, verbose=0)
MAPE = np.mean(100 * (np.abs(y_test-model.predict(X_test))/y_test))
# printing the results of the current iteration
print(TrialNumber, 'Parameters:','batch_size:', batch_size_trial,'-', 'epochs:',epochs_trial, 'Accuracy:', 100-MAPE)
SearchResultsData=SearchResultsData.append(pd.DataFrame(data=[[TrialNumber, str(batch_size_trial)+'-'+str(epochs_trial), 100-MAPE]],
columns=['TrialNumber', 'Parameters', 'Accuracy'] ))
return(SearchResultsData)
In [95]:
# Calling the function
ResultsData=FunctionFindBestParams(X_train, y_train, X_test, y_test)
1 Parameters: batch_size: 5 - epochs: 5 Accuracy: 80.3795078291736 2 Parameters: batch_size: 5 - epochs: 10 Accuracy: 75.84368292162515 3 Parameters: batch_size: 5 - epochs: 50 Accuracy: 77.22674336938744 4 Parameters: batch_size: 5 - epochs: 100 Accuracy: 79.1142567424172 5 Parameters: batch_size: 5 - epochs: 150 Accuracy: 74.94779909594563 6 Parameters: batch_size: 5 - epochs: 200 Accuracy: 78.25833604967892 7 Parameters: batch_size: 5 - epochs: 250 Accuracy: 76.71700482155359 8 Parameters: batch_size: 10 - epochs: 5 Accuracy: 75.37368752567149 9 Parameters: batch_size: 10 - epochs: 10 Accuracy: 75.82408288752521 10 Parameters: batch_size: 10 - epochs: 50 Accuracy: 79.17942065697406 11 Parameters: batch_size: 10 - epochs: 100 Accuracy: 78.25354008435208 12 Parameters: batch_size: 10 - epochs: 150 Accuracy: 79.59173084127046 13 Parameters: batch_size: 10 - epochs: 200 Accuracy: 75.6206851639124 14 Parameters: batch_size: 10 - epochs: 250 Accuracy: 75.11847054445207 15 Parameters: batch_size: 15 - epochs: 5 Accuracy: 74.81555154059775 16 Parameters: batch_size: 15 - epochs: 10 Accuracy: 78.10621211636001 17 Parameters: batch_size: 15 - epochs: 50 Accuracy: 80.17025529384999 18 Parameters: batch_size: 15 - epochs: 100 Accuracy: 78.27076026488501 19 Parameters: batch_size: 15 - epochs: 150 Accuracy: 77.56322914997372 20 Parameters: batch_size: 15 - epochs: 200 Accuracy: 76.28307898681962 21 Parameters: batch_size: 15 - epochs: 250 Accuracy: 77.38595996854245 22 Parameters: batch_size: 20 - epochs: 5 Accuracy: 75.95007196510117 23 Parameters: batch_size: 20 - epochs: 10 Accuracy: 90.21280518028472 24 Parameters: batch_size: 20 - epochs: 50 Accuracy: 78.97003916799729 25 Parameters: batch_size: 20 - epochs: 100 Accuracy: 75.85005784461165 26 Parameters: batch_size: 20 - epochs: 150 Accuracy: 79.41534805222666 27 Parameters: batch_size: 20 - epochs: 200 Accuracy: 79.98030805792439 28 Parameters: batch_size: 20 - epochs: 250 Accuracy: 79.14410597970088 29 Parameters: batch_size: 25 - epochs: 5 Accuracy: 73.40011824479267 30 Parameters: batch_size: 25 - epochs: 10 Accuracy: 78.02727942989371 31 Parameters: batch_size: 25 - epochs: 50 Accuracy: 79.26372945058904 32 Parameters: batch_size: 25 - epochs: 100 Accuracy: 80.86708909781676 33 Parameters: batch_size: 25 - epochs: 150 Accuracy: 78.66686477129707 34 Parameters: batch_size: 25 - epochs: 200 Accuracy: 74.01517325492472 35 Parameters: batch_size: 25 - epochs: 250 Accuracy: 75.24032114357912 36 Parameters: batch_size: 30 - epochs: 5 Accuracy: 74.47144966015792 37 Parameters: batch_size: 30 - epochs: 10 Accuracy: 76.28801697299963 38 Parameters: batch_size: 30 - epochs: 50 Accuracy: 78.75422807235954 39 Parameters: batch_size: 30 - epochs: 100 Accuracy: 77.50254911414522 40 Parameters: batch_size: 30 - epochs: 150 Accuracy: 83.42502946265498 41 Parameters: batch_size: 30 - epochs: 200 Accuracy: 78.37074049830865 42 Parameters: batch_size: 30 - epochs: 250 Accuracy: 76.09931610860633 43 Parameters: batch_size: 50 - epochs: 5 Accuracy: 95.44847694327072 44 Parameters: batch_size: 50 - epochs: 10 Accuracy: 90.70370633843149 45 Parameters: batch_size: 50 - epochs: 50 Accuracy: 90.73794363705736 46 Parameters: batch_size: 50 - epochs: 100 Accuracy: 110.79978111190647 47 Parameters: batch_size: 50 - epochs: 150 Accuracy: 107.89220365891869 48 Parameters: batch_size: 50 - epochs: 200 Accuracy: 85.31884925103468 49 Parameters: batch_size: 50 - epochs: 250 Accuracy: 84.84621294131308
In [96]:
ResultsData[ResultsData['Accuracy']==ResultsData['Accuracy'].max()]
Out[96]:
| TrialNumber | Parameters | Accuracy | |
|---|---|---|---|
| 0 | 46 | 50-100 | 110.799781 |
Plotting the parameter search results¶
In [97]:
%matplotlib inline
ResultsData.plot(x='Parameters', y='Accuracy', figsize=(15,4), kind='line')
Out[97]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555bf96ee0>
Generating the model using best hyperparameters¶
In [98]:
# create ANN model_reg
model_reg = Sequential()
# Defining the first layer of the model_reg
model_reg.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
# Defining the Second layer of the model_reg
model_reg.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
# The output neuron is a single fully connected node
# Since we will be predicting a single number
model_reg.add(Dense(1, kernel_initializer='normal'))
# Compiling the model_reg
model_reg.compile(loss='mean_squared_error', optimizer='adam' )
In [99]:
# Fitting the ANN to the Training set
model_reg.fit(X_train, y_train ,batch_size = 5, epochs = 100, verbose=0)
Out[99]:
<tensorflow.python.keras.callbacks.History at 0x2555bdae0a0>
Generating the predictions on Testing Data¶
In [100]:
# Predictions on testing data
Predictions=model_reg.predict(X_test)
# Scaling the predicted Price data back to original scale
Predictions=TargetVarScalerFit.inverse_transform(Predictions)
# Scaling the y_test Price data back to original scale
y_test_orig=TargetVarScalerFit.inverse_transform(y_test)
# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)
TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData['Signal_Strength']=y_test_orig
TestingData['Predicted_Signal_Strength']=Predictions
TestingData.head()
Out[100]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | Predicted_Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.7 | 0.620 | 0.04 | 0.084 | 25.0 | 45.0 | 0.99780 | 3.34 | 0.53 | 9.5 | 5.0 | 5.071412 |
| 1 | 8.2 | 0.635 | 0.10 | 0.073 | 25.0 | 60.0 | 0.99638 | 3.29 | 0.75 | 10.9 | 6.0 | 5.622146 |
| 2 | 8.4 | 0.370 | 0.43 | 0.063 | 12.0 | 19.0 | 0.99550 | 3.17 | 0.81 | 11.2 | 7.0 | 6.787184 |
| 3 | 9.9 | 0.490 | 0.58 | 0.094 | 9.0 | 43.0 | 1.00040 | 3.29 | 0.58 | 9.0 | 5.0 | 4.859726 |
| 4 | 6.3 | 1.020 | 0.00 | 0.083 | 17.0 | 24.0 | 0.99437 | 3.59 | 0.55 | 11.2 | 4.0 | 4.964338 |
Calculating the Accuracy on Testing Data¶
In [101]:
# Mean Absolute Percentage Error
APE=100* (abs(TestingData['Signal_Strength']-TestingData['Predicted_Signal_Strength'])/TestingData['Signal_Strength'])
TestingData['APE']=APE
print('The Accuracy of ANN model is:', 100-np.mean(APE),'%')
TestingData.head()
The Accuracy of ANN model is: 90.98354128854615 %
Out[101]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | Predicted_Signal_Strength | APE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.7 | 0.620 | 0.04 | 0.084 | 25.0 | 45.0 | 0.99780 | 3.34 | 0.53 | 9.5 | 5.0 | 5.071412 | 1.428232 |
| 1 | 8.2 | 0.635 | 0.10 | 0.073 | 25.0 | 60.0 | 0.99638 | 3.29 | 0.75 | 10.9 | 6.0 | 5.622146 | 6.297572 |
| 2 | 8.4 | 0.370 | 0.43 | 0.063 | 12.0 | 19.0 | 0.99550 | 3.17 | 0.81 | 11.2 | 7.0 | 6.787184 | 3.040225 |
| 3 | 9.9 | 0.490 | 0.58 | 0.094 | 9.0 | 43.0 | 1.00040 | 3.29 | 0.58 | 9.0 | 5.0 | 4.859726 | 2.805471 |
| 4 | 6.3 | 1.020 | 0.00 | 0.083 | 17.0 | 24.0 | 0.99437 | 3.59 | 0.55 | 11.2 | 4.0 | 4.964338 | 24.108458 |
Sklearn GridSearchCV¶
In [102]:
# Function to generate Deep ANN model
def make_regression_ann(Optimizer_trial):
from keras.models import Sequential
from keras.layers import Dense
model = Sequential()
model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
model.add(Dense(1, kernel_initializer='normal'))
model.compile(loss='mean_squared_error', optimizer=Optimizer_trial)
return model
In [103]:
from sklearn.model_selection import GridSearchCV
from keras.wrappers.scikit_learn import KerasRegressor
Parameter_Trials={'batch_size':[5,10,20,50,60],
'epochs':[10,20,50,100,150],
'Optimizer_trial':['adam', 'rmsprop']
}
RegModel=KerasRegressor(make_regression_ann, verbose=0)
In [104]:
from sklearn.metrics import make_scorer
# Defining a custom function to calculate accuracy
def Accuracy_Score(orig,pred):
MAPE = np.mean(100 * (np.abs(orig-pred)/orig))
print('#'*70,'Accuracy:', 100-MAPE)
return(100-MAPE)
custom_Scoring=make_scorer(Accuracy_Score, greater_is_better=True)
In [105]:
# Creating the Grid search space
grid_search=GridSearchCV(estimator=RegModel, param_grid=Parameter_Trials, scoring=custom_Scoring, cv=5)
In [106]:
# Measuring how much time it took to find the best params using grid search
import time
StartTime=time.time()
# Running Grid Search for different paramenters
grid_search.fit(X_train,y_train, verbose=1)
EndTime=time.time()
print("########## Total Time Taken: ", round((EndTime-StartTime)/60), 'Minutes')
Epoch 1/10 152/152 [==============================] - 0s 873us/step - loss: 0.9983 Epoch 2/10 152/152 [==============================] - 0s 905us/step - loss: 0.7926 0s - loss: 0.830 Epoch 3/10 152/152 [==============================] - 0s 919us/step - loss: 0.6503 Epoch 4/10 152/152 [==============================] - 0s 905us/step - loss: 0.6372 Epoch 5/10 152/152 [==============================] - 0s 879us/step - loss: 0.6312 Epoch 6/10 152/152 [==============================] - 0s 912us/step - loss: 0.6253 Epoch 7/10 152/152 [==============================] - 0s 925us/step - loss: 0.6234 Epoch 8/10 152/152 [==============================] - 0s 1ms/step - loss: 0.6198 Epoch 9/10 152/152 [==============================] - 0s 873us/step - loss: 0.6177 Epoch 10/10 152/152 [==============================] - 0s 925us/step - loss: 0.6129 ###################################################################### Accuracy: 66.30594376503711 Epoch 1/10 153/153 [==============================] - 0s 936us/step - loss: 0.9742 Epoch 2/10 153/153 [==============================] - 0s 834us/step - loss: 0.7782 Epoch 3/10 153/153 [==============================] - 0s 795us/step - loss: 0.6465 Epoch 4/10 153/153 [==============================] - 0s 841us/step - loss: 0.6271 Epoch 5/10 153/153 [==============================] - 0s 802us/step - loss: 0.6168 Epoch 6/10 153/153 [==============================] - 0s 841us/step - loss: 0.6084 Epoch 7/10 153/153 [==============================] - 0s 821us/step - loss: 0.6040 Epoch 8/10 153/153 [==============================] - 0s 854us/step - loss: 0.5975 0s - loss: 0.51 Epoch 9/10 153/153 [==============================] - 0s 873us/step - loss: 0.5929 Epoch 10/10 153/153 [==============================] - 0s 828us/step - loss: 0.5911 ###################################################################### Accuracy: 71.18053203331428 Epoch 1/10 153/153 [==============================] - 0s 854us/step - loss: 0.9645 Epoch 2/10 153/153 [==============================] - 0s 815us/step - loss: 0.8245 Epoch 3/10 153/153 [==============================] - 0s 808us/step - loss: 0.6654 Epoch 4/10 153/153 [==============================] - 0s 834us/step - loss: 0.6192 Epoch 5/10 153/153 [==============================] - 0s 769us/step - loss: 0.6051 Epoch 6/10 153/153 [==============================] - 0s 795us/step - loss: 0.6020 Epoch 7/10 153/153 [==============================] - 0s 789us/step - loss: 0.5938 Epoch 8/10 153/153 [==============================] - 0s 854us/step - loss: 0.5893 Epoch 9/10 153/153 [==============================] - 0s 854us/step - loss: 0.5837 0s - loss: 0.55 Epoch 10/10 153/153 [==============================] - 0s 795us/step - loss: 0.5809 ###################################################################### Accuracy: 88.33028191695642 Epoch 1/10 153/153 [==============================] - 0s 983us/step - loss: 0.9903 Epoch 2/10 153/153 [==============================] - 0s 828us/step - loss: 0.8732 Epoch 3/10 153/153 [==============================] - 0s 802us/step - loss: 0.8283 Epoch 4/10 153/153 [==============================] - 0s 789us/step - loss: 0.7976 Epoch 5/10 153/153 [==============================] - 0s 815us/step - loss: 0.7677 Epoch 6/10 153/153 [==============================] - 0s 828us/step - loss: 0.7440 Epoch 7/10 153/153 [==============================] - 0s 847us/step - loss: 0.7272 Epoch 8/10 153/153 [==============================] - 0s 821us/step - loss: 0.7096 Epoch 9/10 153/153 [==============================] - 0s 782us/step - loss: 0.6971 Epoch 10/10 153/153 [==============================] - 0s 776us/step - loss: 0.6842 ###################################################################### Accuracy: 77.28386204096265 Epoch 1/10 153/153 [==============================] - 0s 949us/step - loss: 0.9723 Epoch 2/10 153/153 [==============================] - 0s 834us/step - loss: 0.7608 Epoch 3/10 153/153 [==============================] - 0s 815us/step - loss: 0.6530 Epoch 4/10 153/153 [==============================] - 0s 815us/step - loss: 0.6360 Epoch 5/10 153/153 [==============================] - 0s 782us/step - loss: 0.6258 Epoch 6/10 153/153 [==============================] - 0s 769us/step - loss: 0.6192 Epoch 7/10 153/153 [==============================] - 0s 789us/step - loss: 0.6117 Epoch 8/10 153/153 [==============================] - 0s 821us/step - loss: 0.6059 Epoch 9/10 153/153 [==============================] - 0s 821us/step - loss: 0.6031 Epoch 10/10 153/153 [==============================] - 0s 841us/step - loss: 0.6007 ###################################################################### Accuracy: 70.26439500438426 Epoch 1/20 152/152 [==============================] - 0s 856us/step - loss: 1.0060 Epoch 2/20 152/152 [==============================] - 0s 748us/step - loss: 0.8034 Epoch 3/20 152/152 [==============================] - 0s 820us/step - loss: 0.6591 Epoch 4/20 152/152 [==============================] - 0s 794us/step - loss: 0.6314 Epoch 5/20 152/152 [==============================] - 0s 768us/step - loss: 0.6206 Epoch 6/20 152/152 [==============================] - 0s 768us/step - loss: 0.6145 Epoch 7/20 152/152 [==============================] - 0s 800us/step - loss: 0.6058 Epoch 8/20 152/152 [==============================] - 0s 774us/step - loss: 0.5996 Epoch 9/20 152/152 [==============================] - 0s 728us/step - loss: 0.5944 Epoch 10/20 152/152 [==============================] - 0s 774us/step - loss: 0.5885 Epoch 11/20 152/152 [==============================] - 0s 774us/step - loss: 0.5844 Epoch 12/20 152/152 [==============================] - 0s 761us/step - loss: 0.5815 Epoch 13/20 152/152 [==============================] - 0s 768us/step - loss: 0.5775 Epoch 14/20 152/152 [==============================] - 0s 768us/step - loss: 0.5745 Epoch 15/20 152/152 [==============================] - 0s 748us/step - loss: 0.5745 Epoch 16/20 152/152 [==============================] - 0s 807us/step - loss: 0.5713 Epoch 17/20 152/152 [==============================] - 0s 781us/step - loss: 0.5688 Epoch 18/20 152/152 [==============================] - 0s 768us/step - loss: 0.5684 Epoch 19/20 152/152 [==============================] - 0s 781us/step - loss: 0.5676 Epoch 20/20 152/152 [==============================] - 0s 794us/step - loss: 0.5658 ###################################################################### Accuracy: 71.04462072310207 Epoch 1/20 153/153 [==============================] - 0s 907us/step - loss: 0.9648 Epoch 2/20 153/153 [==============================] - 0s 821us/step - loss: 0.7809 Epoch 3/20 153/153 [==============================] - 0s 795us/step - loss: 0.6691 Epoch 4/20 153/153 [==============================] - 0s 1ms/step - loss: 0.6494 Epoch 5/20 153/153 [==============================] - 0s 906us/step - loss: 0.6412 Epoch 6/20 153/153 [==============================] - 0s 952us/step - loss: 0.6347 Epoch 7/20 153/153 [==============================] - 0s 687us/step - loss: 0.6309 Epoch 8/20 153/153 [==============================] - 0s 613us/step - loss: 0.6249 Epoch 9/20 153/153 [==============================] - 0s 817us/step - loss: 0.6177 Epoch 10/20 153/153 [==============================] - 0s 715us/step - loss: 0.6129 Epoch 11/20 153/153 [==============================] - 0s 715us/step - loss: 0.6067 Epoch 12/20 153/153 [==============================] - 0s 715us/step - loss: 0.6020 Epoch 13/20 153/153 [==============================] - 0s 933us/step - loss: 0.5976 Epoch 14/20 153/153 [==============================] - 0s 1ms/step - loss: 0.5942 Epoch 15/20 153/153 [==============================] - 0s 1ms/step - loss: 0.5897 Epoch 16/20 153/153 [==============================] - 0s 900us/step - loss: 0.5881 Epoch 17/20 153/153 [==============================] - 0s 867us/step - loss: 0.5833 Epoch 18/20 153/153 [==============================] - 0s 808us/step - loss: 0.5824 Epoch 19/20 153/153 [==============================] - 0s 880us/step - loss: 0.5811 Epoch 20/20 153/153 [==============================] - 0s 834us/step - loss: 0.5796 ###################################################################### Accuracy: 71.32072443857598 Epoch 1/20 153/153 [==============================] - 0s 902us/step - loss: 0.9616 Epoch 2/20 153/153 [==============================] - 0s 873us/step - loss: 0.7792 Epoch 3/20 153/153 [==============================] - 0s 847us/step - loss: 0.6353 Epoch 4/20 153/153 [==============================] - 0s 854us/step - loss: 0.6088 Epoch 5/20 153/153 [==============================] - 0s 841us/step - loss: 0.6017 Epoch 6/20 153/153 [==============================] - 0s 880us/step - loss: 0.5922 Epoch 7/20 153/153 [==============================] - 0s 887us/step - loss: 0.5852 Epoch 8/20 153/153 [==============================] - 0s 841us/step - loss: 0.5857 Epoch 9/20 153/153 [==============================] - 0s 851us/step - loss: 0.5777 Epoch 10/20 153/153 [==============================] - 0s 808us/step - loss: 0.5748 Epoch 11/20 153/153 [==============================] - 0s 828us/step - loss: 0.5724 Epoch 12/20 153/153 [==============================] - 0s 815us/step - loss: 0.5721 Epoch 13/20 153/153 [==============================] - 0s 854us/step - loss: 0.5663 Epoch 14/20 153/153 [==============================] - 0s 834us/step - loss: 0.5678 Epoch 15/20 153/153 [==============================] - 0s 841us/step - loss: 0.5643 Epoch 16/20 153/153 [==============================] - 0s 808us/step - loss: 0.5616 Epoch 17/20 153/153 [==============================] - 0s 815us/step - loss: 0.5619 Epoch 18/20 153/153 [==============================] - 0s 815us/step - loss: 0.5577 Epoch 19/20 153/153 [==============================] - 0s 789us/step - loss: 0.5573 Epoch 20/20 153/153 [==============================] - 0s 828us/step - loss: 0.5551 ###################################################################### Accuracy: 92.59763592191118 Epoch 1/20 153/153 [==============================] - 0s 889us/step - loss: 0.9980 Epoch 2/20 153/153 [==============================] - 0s 847us/step - loss: 0.7592 Epoch 3/20 153/153 [==============================] - 0s 815us/step - loss: 0.6548 Epoch 4/20 153/153 [==============================] - 0s 776us/step - loss: 0.6404 Epoch 5/20 153/153 [==============================] - 0s 808us/step - loss: 0.6362 Epoch 6/20 153/153 [==============================] - 0s 815us/step - loss: 0.6269 Epoch 7/20 153/153 [==============================] - 0s 782us/step - loss: 0.6274 Epoch 8/20 153/153 [==============================] - 0s 789us/step - loss: 0.6227 Epoch 9/20 153/153 [==============================] - 0s 802us/step - loss: 0.6186 Epoch 10/20 153/153 [==============================] - 0s 815us/step - loss: 0.6155 Epoch 11/20 153/153 [==============================] - 0s 782us/step - loss: 0.6128 Epoch 12/20 153/153 [==============================] - 0s 821us/step - loss: 0.6117 Epoch 13/20 153/153 [==============================] - 0s 782us/step - loss: 0.6108 Epoch 14/20 153/153 [==============================] - 0s 808us/step - loss: 0.6071 Epoch 15/20 153/153 [==============================] - 0s 782us/step - loss: 0.6078 Epoch 16/20 153/153 [==============================] - 0s 821us/step - loss: 0.6027 Epoch 17/20 153/153 [==============================] - 0s 769us/step - loss: 0.6033 Epoch 18/20 153/153 [==============================] - 0s 808us/step - loss: 0.6007 Epoch 19/20 153/153 [==============================] - 0s 815us/step - loss: 0.6007 Epoch 20/20 153/153 [==============================] - 0s 763us/step - loss: 0.5984 ###################################################################### Accuracy: 72.55102504184441 Epoch 1/20 153/153 [==============================] - 0s 881us/step - loss: 0.9953 Epoch 2/20 153/153 [==============================] - 0s 854us/step - loss: 0.8879 Epoch 3/20 153/153 [==============================] - 0s 834us/step - loss: 0.8160 Epoch 4/20 153/153 [==============================] - 0s 828us/step - loss: 0.7786 Epoch 5/20 153/153 [==============================] - 0s 847us/step - loss: 0.7527 Epoch 6/20 153/153 [==============================] - 0s 847us/step - loss: 0.7290 Epoch 7/20 153/153 [==============================] - 0s 854us/step - loss: 0.7104 Epoch 8/20 153/153 [==============================] - 0s 841us/step - loss: 0.6934 Epoch 9/20 153/153 [==============================] - 0s 834us/step - loss: 0.6793 Epoch 10/20 153/153 [==============================] - 0s 795us/step - loss: 0.6663 Epoch 11/20 153/153 [==============================] - 0s 795us/step - loss: 0.6591 Epoch 12/20 153/153 [==============================] - 0s 802us/step - loss: 0.6489 Epoch 13/20 153/153 [==============================] - 0s 841us/step - loss: 0.6407 Epoch 14/20 153/153 [==============================] - 0s 802us/step - loss: 0.6360 Epoch 15/20 153/153 [==============================] - 0s 802us/step - loss: 0.6275 Epoch 16/20 153/153 [==============================] - 0s 834us/step - loss: 0.6217 Epoch 17/20 153/153 [==============================] - 0s 802us/step - loss: 0.6198 Epoch 18/20 153/153 [==============================] - 0s 841us/step - loss: 0.6167 0s - loss: 0.66 Epoch 19/20 153/153 [==============================] - 0s 795us/step - loss: 0.6104 Epoch 20/20 153/153 [==============================] - 0s 841us/step - loss: 0.6072 ###################################################################### Accuracy: 77.15264398078307 Epoch 1/50 152/152 [==============================] - 0s 852us/step - loss: 0.9985 Epoch 2/50 152/152 [==============================] - 0s 774us/step - loss: 0.7931 Epoch 3/50 152/152 [==============================] - 0s 735us/step - loss: 0.6530 Epoch 4/50 152/152 [==============================] - 0s 755us/step - loss: 0.6379 Epoch 5/50 152/152 [==============================] - 0s 748us/step - loss: 0.6290 Epoch 6/50 152/152 [==============================] - 0s 787us/step - loss: 0.6231 Epoch 7/50 152/152 [==============================] - 0s 807us/step - loss: 0.6162 Epoch 8/50 152/152 [==============================] - 0s 728us/step - loss: 0.6137 Epoch 9/50 152/152 [==============================] - 0s 761us/step - loss: 0.6086 Epoch 10/50 152/152 [==============================] - 0s 755us/step - loss: 0.6041 Epoch 11/50 152/152 [==============================] - 0s 755us/step - loss: 0.5987 Epoch 12/50 152/152 [==============================] - 0s 722us/step - loss: 0.5941 Epoch 13/50 152/152 [==============================] - 0s 768us/step - loss: 0.5887 Epoch 14/50 152/152 [==============================] - 0s 774us/step - loss: 0.5875 Epoch 15/50 152/152 [==============================] - 0s 774us/step - loss: 0.5845 Epoch 16/50 152/152 [==============================] - 0s 774us/step - loss: 0.5803 Epoch 17/50 152/152 [==============================] - 0s 748us/step - loss: 0.5786 Epoch 18/50 152/152 [==============================] - 0s 755us/step - loss: 0.5778 Epoch 19/50 152/152 [==============================] - 0s 846us/step - loss: 0.5727 Epoch 20/50 152/152 [==============================] - 0s 748us/step - loss: 0.5715 Epoch 21/50 152/152 [==============================] - 0s 722us/step - loss: 0.5700 Epoch 22/50 152/152 [==============================] - 0s 761us/step - loss: 0.5687 Epoch 23/50 152/152 [==============================] - 0s 715us/step - loss: 0.5644 Epoch 24/50 152/152 [==============================] - 0s 722us/step - loss: 0.5642 Epoch 25/50 152/152 [==============================] - 0s 748us/step - loss: 0.5619 Epoch 26/50 152/152 [==============================] - 0s 741us/step - loss: 0.5607 Epoch 27/50 152/152 [==============================] - 0s 761us/step - loss: 0.5564 Epoch 28/50 152/152 [==============================] - 0s 748us/step - loss: 0.5574 Epoch 29/50 152/152 [==============================] - 0s 768us/step - loss: 0.5576 Epoch 30/50 152/152 [==============================] - 0s 728us/step - loss: 0.5535 Epoch 31/50 152/152 [==============================] - 0s 755us/step - loss: 0.5505 Epoch 32/50 152/152 [==============================] - 0s 735us/step - loss: 0.5520 Epoch 33/50 152/152 [==============================] - 0s 755us/step - loss: 0.5518 Epoch 34/50 152/152 [==============================] - 0s 741us/step - loss: 0.5497 Epoch 35/50 152/152 [==============================] - 0s 755us/step - loss: 0.5475 Epoch 36/50 152/152 [==============================] - 0s 820us/step - loss: 0.5476 Epoch 37/50 152/152 [==============================] - 0s 755us/step - loss: 0.5448 Epoch 38/50 152/152 [==============================] - 0s 761us/step - loss: 0.5456 Epoch 39/50 152/152 [==============================] - 0s 722us/step - loss: 0.5434 Epoch 40/50 152/152 [==============================] - 0s 768us/step - loss: 0.5441 Epoch 41/50 152/152 [==============================] - 0s 748us/step - loss: 0.5430 Epoch 42/50 152/152 [==============================] - 0s 761us/step - loss: 0.5412 Epoch 43/50 152/152 [==============================] - 0s 807us/step - loss: 0.5408 Epoch 44/50 152/152 [==============================] - 0s 774us/step - loss: 0.5402 Epoch 45/50 152/152 [==============================] - 0s 781us/step - loss: 0.5407 Epoch 46/50 152/152 [==============================] - 0s 748us/step - loss: 0.5392 Epoch 47/50 152/152 [==============================] - 0s 781us/step - loss: 0.5403 Epoch 48/50 152/152 [==============================] - 0s 787us/step - loss: 0.5385 Epoch 49/50 152/152 [==============================] - 0s 814us/step - loss: 0.5378 Epoch 50/50 152/152 [==============================] - 0s 741us/step - loss: 0.5371 ###################################################################### Accuracy: 72.0918768180284 Epoch 1/50 153/153 [==============================] - 0s 869us/step - loss: 0.9721 Epoch 2/50 153/153 [==============================] - 0s 821us/step - loss: 0.8534 Epoch 3/50 153/153 [==============================] - 0s 821us/step - loss: 0.8000 Epoch 4/50 153/153 [==============================] - 0s 782us/step - loss: 0.7696 Epoch 5/50 153/153 [==============================] - 0s 815us/step - loss: 0.7441 Epoch 6/50 153/153 [==============================] - 0s 834us/step - loss: 0.7239 Epoch 7/50 153/153 [==============================] - 0s 828us/step - loss: 0.7040 Epoch 8/50 153/153 [==============================] - 0s 795us/step - loss: 0.6916 Epoch 9/50 153/153 [==============================] - 0s 808us/step - loss: 0.6784 Epoch 10/50 153/153 [==============================] - 0s 815us/step - loss: 0.6645 Epoch 11/50 153/153 [==============================] - 0s 834us/step - loss: 0.6556 Epoch 12/50 153/153 [==============================] - 0s 782us/step - loss: 0.6483 Epoch 13/50 153/153 [==============================] - 0s 815us/step - loss: 0.6403 Epoch 14/50 153/153 [==============================] - 0s 821us/step - loss: 0.6338 Epoch 15/50 153/153 [==============================] - 0s 795us/step - loss: 0.6282 Epoch 16/50 153/153 [==============================] - 0s 789us/step - loss: 0.6236 Epoch 17/50 153/153 [==============================] - 0s 828us/step - loss: 0.6156 Epoch 18/50 153/153 [==============================] - 0s 815us/step - loss: 0.6120 Epoch 19/50 153/153 [==============================] - 0s 821us/step - loss: 0.6074 Epoch 20/50 153/153 [==============================] - 0s 821us/step - loss: 0.6053 Epoch 21/50 153/153 [==============================] - 0s 808us/step - loss: 0.5999 0s - loss: 0.61 Epoch 22/50 153/153 [==============================] - 0s 821us/step - loss: 0.5894 Epoch 23/50 153/153 [==============================] - 0s 834us/step - loss: 0.5846 Epoch 24/50 153/153 [==============================] - 0s 847us/step - loss: 0.5808 Epoch 25/50 153/153 [==============================] - 0s 828us/step - loss: 0.5770 Epoch 26/50 153/153 [==============================] - 0s 860us/step - loss: 0.5754 Epoch 27/50 153/153 [==============================] - 0s 808us/step - loss: 0.5762 Epoch 28/50 153/153 [==============================] - 0s 808us/step - loss: 0.5737 Epoch 29/50 153/153 [==============================] - 0s 828us/step - loss: 0.5709 Epoch 30/50 153/153 [==============================] - 0s 815us/step - loss: 0.5703 Epoch 31/50 153/153 [==============================] - 0s 854us/step - loss: 0.5722 Epoch 32/50 153/153 [==============================] - 0s 828us/step - loss: 0.5669 Epoch 33/50 153/153 [==============================] - 0s 808us/step - loss: 0.5670 Epoch 34/50 153/153 [==============================] - 0s 802us/step - loss: 0.5693 Epoch 35/50 153/153 [==============================] - 0s 847us/step - loss: 0.5645 Epoch 36/50 153/153 [==============================] - 0s 880us/step - loss: 0.5660 Epoch 37/50 153/153 [==============================] - 0s 802us/step - loss: 0.5650 Epoch 38/50 153/153 [==============================] - 0s 828us/step - loss: 0.5633 Epoch 39/50 153/153 [==============================] - 0s 828us/step - loss: 0.5634 Epoch 40/50 153/153 [==============================] - 0s 834us/step - loss: 0.5643 Epoch 41/50 153/153 [==============================] - 0s 795us/step - loss: 0.5631 Epoch 42/50 153/153 [==============================] - 0s 789us/step - loss: 0.5588 Epoch 43/50 153/153 [==============================] - 0s 782us/step - loss: 0.5619 Epoch 44/50 153/153 [==============================] - 0s 821us/step - loss: 0.5592 Epoch 45/50 153/153 [==============================] - 0s 834us/step - loss: 0.5567 Epoch 46/50 153/153 [==============================] - 0s 828us/step - loss: 0.5614 Epoch 47/50 153/153 [==============================] - 0s 802us/step - loss: 0.5607 Epoch 48/50 153/153 [==============================] - 0s 815us/step - loss: 0.5580 Epoch 49/50 153/153 [==============================] - 0s 841us/step - loss: 0.5584 Epoch 50/50 153/153 [==============================] - 0s 815us/step - loss: 0.5599 ###################################################################### Accuracy: 70.49817063672202 Epoch 1/50 153/153 [==============================] - 0s 828us/step - loss: 0.9500 Epoch 2/50 153/153 [==============================] - 0s 834us/step - loss: 0.7329 Epoch 3/50 153/153 [==============================] - 0s 860us/step - loss: 0.6270 Epoch 4/50 153/153 [==============================] - 0s 795us/step - loss: 0.6166 Epoch 5/50 153/153 [==============================] - 0s 834us/step - loss: 0.6072 Epoch 6/50 153/153 [==============================] - 0s 841us/step - loss: 0.6018 Epoch 7/50 153/153 [==============================] - 0s 808us/step - loss: 0.5971 Epoch 8/50 153/153 [==============================] - 0s 847us/step - loss: 0.5922 Epoch 9/50 153/153 [==============================] - 0s 795us/step - loss: 0.5866 Epoch 10/50 153/153 [==============================] - 0s 821us/step - loss: 0.5830 Epoch 11/50 153/153 [==============================] - 0s 834us/step - loss: 0.5804 Epoch 12/50 153/153 [==============================] - 0s 821us/step - loss: 0.5756 Epoch 13/50 153/153 [==============================] - 0s 782us/step - loss: 0.5714 Epoch 14/50 153/153 [==============================] - 0s 789us/step - loss: 0.5701 Epoch 15/50 153/153 [==============================] - 0s 821us/step - loss: 0.5660 Epoch 16/50 153/153 [==============================] - 0s 847us/step - loss: 0.5648 Epoch 17/50 153/153 [==============================] - 0s 821us/step - loss: 0.5633 Epoch 18/50 153/153 [==============================] - 0s 782us/step - loss: 0.5623 Epoch 19/50 153/153 [==============================] - 0s 802us/step - loss: 0.5622 Epoch 20/50 153/153 [==============================] - 0s 776us/step - loss: 0.5583 Epoch 21/50 153/153 [==============================] - 0s 821us/step - loss: 0.5620 Epoch 22/50 153/153 [==============================] - 0s 821us/step - loss: 0.5560 Epoch 23/50 153/153 [==============================] - 0s 854us/step - loss: 0.5559 Epoch 24/50 153/153 [==============================] - 0s 828us/step - loss: 0.5551 Epoch 25/50 153/153 [==============================] - 0s 834us/step - loss: 0.5530 Epoch 26/50 153/153 [==============================] - 0s 841us/step - loss: 0.5531 Epoch 27/50 153/153 [==============================] - 0s 834us/step - loss: 0.5528 Epoch 28/50 153/153 [==============================] - 0s 828us/step - loss: 0.5504 Epoch 29/50 153/153 [==============================] - 0s 795us/step - loss: 0.5494 Epoch 30/50 153/153 [==============================] - 0s 828us/step - loss: 0.5494 Epoch 31/50 153/153 [==============================] - 0s 860us/step - loss: 0.5476 Epoch 32/50 153/153 [==============================] - 0s 815us/step - loss: 0.5479 Epoch 33/50 153/153 [==============================] - 0s 834us/step - loss: 0.5474 Epoch 34/50 153/153 [==============================] - 0s 808us/step - loss: 0.5482 Epoch 35/50 153/153 [==============================] - 0s 828us/step - loss: 0.5435 Epoch 36/50 153/153 [==============================] - 0s 841us/step - loss: 0.5445 Epoch 37/50 153/153 [==============================] - 0s 854us/step - loss: 0.5431 Epoch 38/50 153/153 [==============================] - 0s 821us/step - loss: 0.5437 Epoch 39/50 153/153 [==============================] - 0s 828us/step - loss: 0.5431 Epoch 40/50 153/153 [==============================] - 0s 776us/step - loss: 0.5414 Epoch 41/50 153/153 [==============================] - 0s 815us/step - loss: 0.5417 Epoch 42/50 153/153 [==============================] - 0s 828us/step - loss: 0.5409 Epoch 43/50 153/153 [==============================] - 0s 795us/step - loss: 0.5403 Epoch 44/50 153/153 [==============================] - 0s 815us/step - loss: 0.5403 Epoch 45/50 153/153 [==============================] - 0s 828us/step - loss: 0.5416 Epoch 46/50 153/153 [==============================] - 0s 808us/step - loss: 0.5405 Epoch 47/50 153/153 [==============================] - 0s 808us/step - loss: 0.5412 Epoch 48/50 153/153 [==============================] - 0s 821us/step - loss: 0.5390 Epoch 49/50 153/153 [==============================] - 0s 815us/step - loss: 0.5378 Epoch 50/50 153/153 [==============================] - 0s 795us/step - loss: 0.5382 ###################################################################### Accuracy: 92.4698964504009 Epoch 1/50 153/153 [==============================] - 0s 882us/step - loss: 0.9901 Epoch 2/50 153/153 [==============================] - 0s 815us/step - loss: 0.7571 Epoch 3/50 153/153 [==============================] - 0s 802us/step - loss: 0.6640 Epoch 4/50 153/153 [==============================] - 0s 789us/step - loss: 0.6481 Epoch 5/50 153/153 [==============================] - 0s 815us/step - loss: 0.6418 Epoch 6/50 153/153 [==============================] - 0s 808us/step - loss: 0.6368 Epoch 7/50 153/153 [==============================] - 0s 802us/step - loss: 0.6327 Epoch 8/50 153/153 [==============================] - 0s 782us/step - loss: 0.6269 Epoch 9/50 153/153 [==============================] - 0s 782us/step - loss: 0.6226 Epoch 10/50 153/153 [==============================] - 0s 821us/step - loss: 0.6241 Epoch 11/50 153/153 [==============================] - 0s 756us/step - loss: 0.6175 Epoch 12/50 153/153 [==============================] - 0s 802us/step - loss: 0.6148 Epoch 13/50 153/153 [==============================] - 0s 815us/step - loss: 0.6134 Epoch 14/50 153/153 [==============================] - 0s 821us/step - loss: 0.6092 Epoch 15/50 153/153 [==============================] - 0s 1ms/step - loss: 0.6073 Epoch 16/50 153/153 [==============================] - 0s 834us/step - loss: 0.6065 Epoch 17/50 153/153 [==============================] - 0s 750us/step - loss: 0.6037 Epoch 18/50 153/153 [==============================] - 0s 828us/step - loss: 0.6002 Epoch 19/50 153/153 [==============================] - 0s 776us/step - loss: 0.5970 Epoch 20/50 153/153 [==============================] - 0s 815us/step - loss: 0.5999 Epoch 21/50 153/153 [==============================] - 0s 789us/step - loss: 0.5945 Epoch 22/50 153/153 [==============================] - 0s 808us/step - loss: 0.5945 Epoch 23/50 153/153 [==============================] - 0s 821us/step - loss: 0.5948 Epoch 24/50 153/153 [==============================] - 0s 795us/step - loss: 0.5908 Epoch 25/50 153/153 [==============================] - 0s 769us/step - loss: 0.5918 Epoch 26/50 153/153 [==============================] - 0s 802us/step - loss: 0.5903 Epoch 27/50 153/153 [==============================] - 0s 821us/step - loss: 0.5839 Epoch 28/50 153/153 [==============================] - 0s 802us/step - loss: 0.5918 Epoch 29/50 153/153 [==============================] - 0s 815us/step - loss: 0.5857 Epoch 30/50 153/153 [==============================] - 0s 815us/step - loss: 0.5885 Epoch 31/50 153/153 [==============================] - 0s 769us/step - loss: 0.5848 Epoch 32/50 153/153 [==============================] - 0s 795us/step - loss: 0.5821 Epoch 33/50 153/153 [==============================] - 0s 802us/step - loss: 0.5852 Epoch 34/50 153/153 [==============================] - 0s 828us/step - loss: 0.5840 Epoch 35/50 153/153 [==============================] - 0s 808us/step - loss: 0.5840 Epoch 36/50 153/153 [==============================] - 0s 789us/step - loss: 0.5871 Epoch 37/50 153/153 [==============================] - 0s 782us/step - loss: 0.5840 Epoch 38/50 153/153 [==============================] - 0s 828us/step - loss: 0.5831 Epoch 39/50 153/153 [==============================] - 0s 802us/step - loss: 0.5834 Epoch 40/50 153/153 [==============================] - 0s 828us/step - loss: 0.5790 Epoch 41/50 153/153 [==============================] - 0s 802us/step - loss: 0.5806 Epoch 42/50 153/153 [==============================] - 0s 880us/step - loss: 0.5801 Epoch 43/50 153/153 [==============================] - 0s 795us/step - loss: 0.5789 Epoch 44/50 153/153 [==============================] - 0s 821us/step - loss: 0.5767 Epoch 45/50 153/153 [==============================] - 0s 821us/step - loss: 0.5781 Epoch 46/50 153/153 [==============================] - 0s 821us/step - loss: 0.5767 Epoch 47/50 153/153 [==============================] - 0s 802us/step - loss: 0.5773 Epoch 48/50 153/153 [==============================] - 0s 802us/step - loss: 0.5780 Epoch 49/50 153/153 [==============================] - 0s 834us/step - loss: 0.5756 Epoch 50/50 153/153 [==============================] - 0s 808us/step - loss: 0.5756 0s - loss: 0.57 ###################################################################### Accuracy: 75.54155597684912 Epoch 1/50 153/153 [==============================] - 0s 889us/step - loss: 0.9675 Epoch 2/50 153/153 [==============================] - 0s 834us/step - loss: 0.7270 Epoch 3/50 153/153 [==============================] - 0s 828us/step - loss: 0.6414 Epoch 4/50 153/153 [==============================] - 0s 802us/step - loss: 0.6281 Epoch 5/50 153/153 [==============================] - 0s 841us/step - loss: 0.6176 Epoch 6/50 153/153 [==============================] - 0s 834us/step - loss: 0.6121 Epoch 7/50 153/153 [==============================] - 0s 841us/step - loss: 0.6062 Epoch 8/50 153/153 [==============================] - 0s 815us/step - loss: 0.5997 Epoch 9/50 153/153 [==============================] - 0s 808us/step - loss: 0.5963 0s - loss: 0.616 Epoch 10/50 153/153 [==============================] - 0s 795us/step - loss: 0.5903 Epoch 11/50 153/153 [==============================] - 0s 782us/step - loss: 0.5930 Epoch 12/50 153/153 [==============================] - 0s 821us/step - loss: 0.5866 Epoch 13/50 153/153 [==============================] - 0s 841us/step - loss: 0.5839 Epoch 14/50 153/153 [==============================] - 0s 847us/step - loss: 0.5799 Epoch 15/50 153/153 [==============================] - 0s 834us/step - loss: 0.5815 Epoch 16/50 153/153 [==============================] - 0s 815us/step - loss: 0.5793 Epoch 17/50 153/153 [==============================] - 0s 808us/step - loss: 0.5782 Epoch 18/50 153/153 [==============================] - 0s 795us/step - loss: 0.5755 Epoch 19/50 153/153 [==============================] - 0s 802us/step - loss: 0.5725 Epoch 20/50 153/153 [==============================] - 0s 795us/step - loss: 0.5749 Epoch 21/50 153/153 [==============================] - 0s 834us/step - loss: 0.5757 Epoch 22/50 153/153 [==============================] - 0s 821us/step - loss: 0.5721 Epoch 23/50 153/153 [==============================] - 0s 828us/step - loss: 0.5737 Epoch 24/50 153/153 [==============================] - 0s 815us/step - loss: 0.5715 Epoch 25/50 153/153 [==============================] - 0s 854us/step - loss: 0.5681 Epoch 26/50 153/153 [==============================] - 0s 808us/step - loss: 0.5692 Epoch 27/50 153/153 [==============================] - 0s 854us/step - loss: 0.5692 Epoch 28/50 153/153 [==============================] - 0s 802us/step - loss: 0.5677 Epoch 29/50 153/153 [==============================] - 0s 841us/step - loss: 0.5703 Epoch 30/50 153/153 [==============================] - 0s 854us/step - loss: 0.5659 Epoch 31/50 153/153 [==============================] - 0s 815us/step - loss: 0.5647 Epoch 32/50 153/153 [==============================] - 0s 860us/step - loss: 0.5656 Epoch 33/50 153/153 [==============================] - 0s 880us/step - loss: 0.5648 Epoch 34/50 153/153 [==============================] - 0s 802us/step - loss: 0.5625 Epoch 35/50 153/153 [==============================] - 0s 769us/step - loss: 0.5628 Epoch 36/50 153/153 [==============================] - 0s 808us/step - loss: 0.5622 Epoch 37/50 153/153 [==============================] - 0s 776us/step - loss: 0.5627 Epoch 38/50 153/153 [==============================] - 0s 776us/step - loss: 0.5611 Epoch 39/50 153/153 [==============================] - 0s 821us/step - loss: 0.5615 Epoch 40/50 153/153 [==============================] - 0s 821us/step - loss: 0.5607 Epoch 41/50 153/153 [==============================] - 0s 847us/step - loss: 0.5607 Epoch 42/50 153/153 [==============================] - 0s 815us/step - loss: 0.5577 Epoch 43/50 153/153 [==============================] - 0s 802us/step - loss: 0.5600 Epoch 44/50 153/153 [==============================] - 0s 795us/step - loss: 0.5585 Epoch 45/50 153/153 [==============================] - 0s 815us/step - loss: 0.5574 Epoch 46/50 153/153 [==============================] - 0s 802us/step - loss: 0.5606 Epoch 47/50 153/153 [==============================] - 0s 808us/step - loss: 0.5543 Epoch 48/50 153/153 [==============================] - 0s 828us/step - loss: 0.5556 Epoch 49/50 153/153 [==============================] - 0s 847us/step - loss: 0.5532 Epoch 50/50 153/153 [==============================] - 0s 815us/step - loss: 0.5530 ###################################################################### Accuracy: 67.8261507560058 Epoch 1/100 152/152 [==============================] - 0s 820us/step - loss: 0.9984 Epoch 2/100 152/152 [==============================] - 0s 761us/step - loss: 0.7764 Epoch 3/100 152/152 [==============================] - 0s 807us/step - loss: 0.6512 Epoch 4/100 152/152 [==============================] - 0s 761us/step - loss: 0.6306 Epoch 5/100 152/152 [==============================] - 0s 768us/step - loss: 0.6209 Epoch 6/100 152/152 [==============================] - 0s 814us/step - loss: 0.6133 Epoch 7/100 152/152 [==============================] - 0s 840us/step - loss: 0.6019 Epoch 8/100 152/152 [==============================] - 0s 787us/step - loss: 0.5961 Epoch 9/100 152/152 [==============================] - 0s 761us/step - loss: 0.5925 Epoch 10/100 152/152 [==============================] - 0s 748us/step - loss: 0.5901 Epoch 11/100 152/152 [==============================] - 0s 800us/step - loss: 0.5844 Epoch 12/100 152/152 [==============================] - 0s 827us/step - loss: 0.5810 Epoch 13/100 152/152 [==============================] - 0s 755us/step - loss: 0.5792 Epoch 14/100 152/152 [==============================] - 0s 827us/step - loss: 0.5760 Epoch 15/100 152/152 [==============================] - 0s 787us/step - loss: 0.5726 Epoch 16/100 152/152 [==============================] - 0s 755us/step - loss: 0.5714 Epoch 17/100 152/152 [==============================] - 0s 768us/step - loss: 0.5682 Epoch 18/100 152/152 [==============================] - 0s 741us/step - loss: 0.5663 Epoch 19/100 152/152 [==============================] - 0s 761us/step - loss: 0.5621 Epoch 20/100 152/152 [==============================] - 0s 774us/step - loss: 0.5619 Epoch 21/100 152/152 [==============================] - 0s 781us/step - loss: 0.5589 Epoch 22/100 152/152 [==============================] - 0s 768us/step - loss: 0.5590 Epoch 23/100 152/152 [==============================] - 0s 794us/step - loss: 0.5558 Epoch 24/100 152/152 [==============================] - 0s 800us/step - loss: 0.5550 Epoch 25/100 152/152 [==============================] - 0s 794us/step - loss: 0.5538 Epoch 26/100 152/152 [==============================] - 0s 781us/step - loss: 0.5524 Epoch 27/100 152/152 [==============================] - 0s 748us/step - loss: 0.5528 Epoch 28/100 152/152 [==============================] - 0s 755us/step - loss: 0.5462 Epoch 29/100 152/152 [==============================] - 0s 781us/step - loss: 0.5503 Epoch 30/100 152/152 [==============================] - 0s 781us/step - loss: 0.5473 Epoch 31/100 152/152 [==============================] - 0s 787us/step - loss: 0.5474 Epoch 32/100 152/152 [==============================] - 0s 781us/step - loss: 0.5471 Epoch 33/100 152/152 [==============================] - 0s 774us/step - loss: 0.5449 Epoch 34/100 152/152 [==============================] - 0s 781us/step - loss: 0.5444 Epoch 35/100 152/152 [==============================] - 0s 814us/step - loss: 0.5412 Epoch 36/100 152/152 [==============================] - 0s 774us/step - loss: 0.5429 Epoch 37/100 152/152 [==============================] - 0s 755us/step - loss: 0.5412 Epoch 38/100 152/152 [==============================] - 0s 820us/step - loss: 0.5390 Epoch 39/100 152/152 [==============================] - 0s 781us/step - loss: 0.5353 Epoch 40/100 152/152 [==============================] - 0s 761us/step - loss: 0.5406 Epoch 41/100 152/152 [==============================] - 0s 768us/step - loss: 0.5354 Epoch 42/100 152/152 [==============================] - 0s 781us/step - loss: 0.5356 Epoch 43/100 152/152 [==============================] - 0s 768us/step - loss: 0.5354 Epoch 44/100 152/152 [==============================] - 0s 800us/step - loss: 0.5333 Epoch 45/100 152/152 [==============================] - 0s 768us/step - loss: 0.5318 Epoch 46/100 152/152 [==============================] - 0s 761us/step - loss: 0.5296 Epoch 47/100 152/152 [==============================] - 0s 774us/step - loss: 0.5313 Epoch 48/100 152/152 [==============================] - 0s 774us/step - loss: 0.5275 Epoch 49/100 152/152 [==============================] - 0s 800us/step - loss: 0.5296 Epoch 50/100 152/152 [==============================] - 0s 748us/step - loss: 0.5261 Epoch 51/100 152/152 [==============================] - 0s 768us/step - loss: 0.5260 Epoch 52/100 152/152 [==============================] - 0s 794us/step - loss: 0.5243 Epoch 53/100 152/152 [==============================] - 0s 978us/step - loss: 0.5226 Epoch 54/100 152/152 [==============================] - 0s 846us/step - loss: 0.5241 Epoch 55/100 152/152 [==============================] - 0s 787us/step - loss: 0.5212 Epoch 56/100 152/152 [==============================] - 0s 781us/step - loss: 0.5214 Epoch 57/100 152/152 [==============================] - 0s 761us/step - loss: 0.5220 Epoch 58/100 152/152 [==============================] - 0s 781us/step - loss: 0.5191 Epoch 59/100 152/152 [==============================] - 0s 905us/step - loss: 0.5183 Epoch 60/100 152/152 [==============================] - 0s 748us/step - loss: 0.5189 Epoch 61/100 152/152 [==============================] - 0s 774us/step - loss: 0.5148 Epoch 62/100 152/152 [==============================] - 0s 768us/step - loss: 0.5177 Epoch 63/100 152/152 [==============================] - 0s 774us/step - loss: 0.5169 Epoch 64/100 152/152 [==============================] - 0s 800us/step - loss: 0.5163 Epoch 65/100 152/152 [==============================] - 0s 748us/step - loss: 0.5151 Epoch 66/100 152/152 [==============================] - 0s 820us/step - loss: 0.5150 Epoch 67/100 152/152 [==============================] - 0s 774us/step - loss: 0.5172 Epoch 68/100 152/152 [==============================] - 0s 827us/step - loss: 0.5127 Epoch 69/100 152/152 [==============================] - 0s 748us/step - loss: 0.5147 Epoch 70/100 152/152 [==============================] - 0s 774us/step - loss: 0.5142 Epoch 71/100 152/152 [==============================] - 0s 800us/step - loss: 0.5131 Epoch 72/100 152/152 [==============================] - 0s 774us/step - loss: 0.5122 Epoch 73/100 152/152 [==============================] - 0s 807us/step - loss: 0.5107 Epoch 74/100 152/152 [==============================] - 0s 768us/step - loss: 0.5121 Epoch 75/100 152/152 [==============================] - 0s 814us/step - loss: 0.5091 Epoch 76/100 152/152 [==============================] - 0s 768us/step - loss: 0.5073 Epoch 77/100 152/152 [==============================] - 0s 741us/step - loss: 0.5078 Epoch 78/100 152/152 [==============================] - 0s 1ms/step - loss: 0.5081 Epoch 79/100 152/152 [==============================] - 0s 761us/step - loss: 0.5080 Epoch 80/100 152/152 [==============================] - 0s 860us/step - loss: 0.5059 Epoch 81/100 152/152 [==============================] - 0s 768us/step - loss: 0.5057 Epoch 82/100 152/152 [==============================] - 0s 722us/step - loss: 0.5049 Epoch 83/100 152/152 [==============================] - 0s 728us/step - loss: 0.5055 Epoch 84/100 152/152 [==============================] - 0s 781us/step - loss: 0.5043 Epoch 85/100 152/152 [==============================] - 0s 774us/step - loss: 0.5056 Epoch 86/100 152/152 [==============================] - 0s 820us/step - loss: 0.5052 0s - loss: 0.475 Epoch 87/100 152/152 [==============================] - 0s 787us/step - loss: 0.5044 Epoch 88/100 152/152 [==============================] - 0s 787us/step - loss: 0.5035 Epoch 89/100 152/152 [==============================] - 0s 768us/step - loss: 0.5051 Epoch 90/100 152/152 [==============================] - 0s 761us/step - loss: 0.5045 Epoch 91/100 152/152 [==============================] - 0s 800us/step - loss: 0.5034 Epoch 92/100 152/152 [==============================] - 0s 794us/step - loss: 0.5048 Epoch 93/100 152/152 [==============================] - 0s 768us/step - loss: 0.5034 Epoch 94/100 152/152 [==============================] - 0s 800us/step - loss: 0.5009 Epoch 95/100 152/152 [==============================] - 0s 761us/step - loss: 0.5011 Epoch 96/100 152/152 [==============================] - 0s 853us/step - loss: 0.5005 Epoch 97/100 152/152 [==============================] - 0s 794us/step - loss: 0.4978 Epoch 98/100 152/152 [==============================] - 0s 768us/step - loss: 0.4982 Epoch 99/100 152/152 [==============================] - ETA: 0s - loss: 0.483 - 0s 768us/step - loss: 0.4968 Epoch 100/100 152/152 [==============================] - 0s 761us/step - loss: 0.4985 ###################################################################### Accuracy: 69.87370836850336 Epoch 1/100 153/153 [==============================] - 0s 880us/step - loss: 0.9661 Epoch 2/100 153/153 [==============================] - 0s 802us/step - loss: 0.7683 Epoch 3/100 153/153 [==============================] - 0s 834us/step - loss: 0.6625 Epoch 4/100 153/153 [==============================] - 0s 808us/step - loss: 0.6407 Epoch 5/100 153/153 [==============================] - 0s 815us/step - loss: 0.6290 Epoch 6/100 153/153 [==============================] - 0s 795us/step - loss: 0.6243 Epoch 7/100 153/153 [==============================] - 0s 854us/step - loss: 0.6164 Epoch 8/100 153/153 [==============================] - 0s 828us/step - loss: 0.6107 Epoch 9/100 153/153 [==============================] - 0s 821us/step - loss: 0.6094 Epoch 10/100 153/153 [==============================] - 0s 867us/step - loss: 0.6031 Epoch 11/100 153/153 [==============================] - 0s 815us/step - loss: 0.6005 Epoch 12/100 153/153 [==============================] - 0s 834us/step - loss: 0.6001 Epoch 13/100 153/153 [==============================] - 0s 821us/step - loss: 0.5944 Epoch 14/100 153/153 [==============================] - 0s 815us/step - loss: 0.5900 Epoch 15/100 153/153 [==============================] - 0s 821us/step - loss: 0.5889 Epoch 16/100 153/153 [==============================] - 0s 847us/step - loss: 0.5877 Epoch 17/100 153/153 [==============================] - 0s 841us/step - loss: 0.5884 Epoch 18/100 153/153 [==============================] - 0s 873us/step - loss: 0.5823 Epoch 19/100 153/153 [==============================] - 0s 821us/step - loss: 0.5821 Epoch 20/100 153/153 [==============================] - 0s 808us/step - loss: 0.5790 Epoch 21/100 153/153 [==============================] - 0s 782us/step - loss: 0.5764 Epoch 22/100 153/153 [==============================] - 0s 834us/step - loss: 0.5781 Epoch 23/100 153/153 [==============================] - 0s 854us/step - loss: 0.5755 Epoch 24/100 153/153 [==============================] - 0s 821us/step - loss: 0.5737 Epoch 25/100 153/153 [==============================] - 0s 867us/step - loss: 0.5759 Epoch 26/100 153/153 [==============================] - 0s 808us/step - loss: 0.5712 Epoch 27/100 153/153 [==============================] - 0s 795us/step - loss: 0.5731 Epoch 28/100 153/153 [==============================] - 0s 834us/step - loss: 0.5691 Epoch 29/100 153/153 [==============================] - 0s 815us/step - loss: 0.5673 Epoch 30/100 153/153 [==============================] - 0s 828us/step - loss: 0.5694 Epoch 31/100 153/153 [==============================] - 0s 854us/step - loss: 0.5674 Epoch 32/100 153/153 [==============================] - 0s 834us/step - loss: 0.5648 Epoch 33/100 153/153 [==============================] - 0s 802us/step - loss: 0.5645 Epoch 34/100 153/153 [==============================] - 0s 808us/step - loss: 0.5648 Epoch 35/100 153/153 [==============================] - 0s 808us/step - loss: 0.5630 Epoch 36/100 153/153 [==============================] - 0s 834us/step - loss: 0.5639 Epoch 37/100 153/153 [==============================] - 0s 860us/step - loss: 0.5610 Epoch 38/100 153/153 [==============================] - 0s 795us/step - loss: 0.5607 Epoch 39/100 153/153 [==============================] - 0s 867us/step - loss: 0.5611 Epoch 40/100 153/153 [==============================] - 0s 789us/step - loss: 0.5577 Epoch 41/100 153/153 [==============================] - 0s 769us/step - loss: 0.5582 Epoch 42/100 153/153 [==============================] - 0s 834us/step - loss: 0.5653 Epoch 43/100 153/153 [==============================] - 0s 821us/step - loss: 0.5573 Epoch 44/100 153/153 [==============================] - 0s 821us/step - loss: 0.5598 Epoch 45/100 153/153 [==============================] - 0s 867us/step - loss: 0.5591 Epoch 46/100 153/153 [==============================] - 0s 815us/step - loss: 0.5572 Epoch 47/100 153/153 [==============================] - 0s 808us/step - loss: 0.5529 Epoch 48/100 153/153 [==============================] - 0s 821us/step - loss: 0.5526 Epoch 49/100 153/153 [==============================] - 0s 795us/step - loss: 0.5534 Epoch 50/100 153/153 [==============================] - 0s 789us/step - loss: 0.5550 Epoch 51/100 153/153 [==============================] - 0s 828us/step - loss: 0.5542 Epoch 52/100 153/153 [==============================] - 0s 802us/step - loss: 0.5514 Epoch 53/100 153/153 [==============================] - 0s 808us/step - loss: 0.5503 Epoch 54/100 153/153 [==============================] - 0s 821us/step - loss: 0.5506 Epoch 55/100 153/153 [==============================] - 0s 795us/step - loss: 0.5495 Epoch 56/100 153/153 [==============================] - 0s 802us/step - loss: 0.5463 Epoch 57/100 153/153 [==============================] - 0s 769us/step - loss: 0.5476 Epoch 58/100 153/153 [==============================] - 0s 815us/step - loss: 0.5467 Epoch 59/100 153/153 [==============================] - 0s 828us/step - loss: 0.5479 Epoch 60/100 153/153 [==============================] - 0s 834us/step - loss: 0.5453 Epoch 61/100 153/153 [==============================] - 0s 769us/step - loss: 0.5461 Epoch 62/100 153/153 [==============================] - 0s 834us/step - loss: 0.5439 Epoch 63/100 153/153 [==============================] - 0s 834us/step - loss: 0.5444 Epoch 64/100 153/153 [==============================] - 0s 795us/step - loss: 0.5445 Epoch 65/100 153/153 [==============================] - 0s 808us/step - loss: 0.5415 Epoch 66/100 153/153 [==============================] - 0s 828us/step - loss: 0.5444 Epoch 67/100 153/153 [==============================] - 0s 776us/step - loss: 0.5391 Epoch 68/100 153/153 [==============================] - 0s 821us/step - loss: 0.5400 Epoch 69/100 153/153 [==============================] - 0s 828us/step - loss: 0.5390 Epoch 70/100 153/153 [==============================] - 0s 841us/step - loss: 0.5399 Epoch 71/100 153/153 [==============================] - 0s 821us/step - loss: 0.5377 Epoch 72/100 153/153 [==============================] - 0s 815us/step - loss: 0.5395 Epoch 73/100 153/153 [==============================] - 0s 776us/step - loss: 0.5362 Epoch 74/100 153/153 [==============================] - 0s 769us/step - loss: 0.5378 Epoch 75/100 153/153 [==============================] - 0s 828us/step - loss: 0.5357 Epoch 76/100 153/153 [==============================] - 0s 789us/step - loss: 0.5370 Epoch 77/100 153/153 [==============================] - 0s 828us/step - loss: 0.5335 Epoch 78/100 153/153 [==============================] - 0s 789us/step - loss: 0.5349 Epoch 79/100 153/153 [==============================] - 0s 782us/step - loss: 0.5343 Epoch 80/100 153/153 [==============================] - 0s 776us/step - loss: 0.5340 Epoch 81/100 153/153 [==============================] - 0s 808us/step - loss: 0.5328 Epoch 82/100 153/153 [==============================] - 0s 991us/step - loss: 0.5311 0s - loss: 0.504 Epoch 83/100 153/153 [==============================] - 0s 945us/step - loss: 0.5299 Epoch 84/100 153/153 [==============================] - 0s 867us/step - loss: 0.5309 Epoch 85/100 153/153 [==============================] - 0s 932us/step - loss: 0.5305 Epoch 86/100 153/153 [==============================] - 0s 900us/step - loss: 0.5317 Epoch 87/100 153/153 [==============================] - 0s 887us/step - loss: 0.5288 Epoch 88/100 153/153 [==============================] - 0s 893us/step - loss: 0.5300 Epoch 89/100 153/153 [==============================] - 0s 821us/step - loss: 0.5280 Epoch 90/100 153/153 [==============================] - 0s 815us/step - loss: 0.5288 Epoch 91/100 153/153 [==============================] - 0s 880us/step - loss: 0.5299 Epoch 92/100 153/153 [==============================] - 0s 900us/step - loss: 0.5274 Epoch 93/100 153/153 [==============================] - 0s 906us/step - loss: 0.5260 Epoch 94/100 153/153 [==============================] - 0s 880us/step - loss: 0.5233 Epoch 95/100 153/153 [==============================] - 0s 893us/step - loss: 0.5249 Epoch 96/100 153/153 [==============================] - 0s 887us/step - loss: 0.5263 Epoch 97/100 153/153 [==============================] - 0s 880us/step - loss: 0.5247 Epoch 98/100 153/153 [==============================] - 0s 900us/step - loss: 0.5233 Epoch 99/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5298 Epoch 100/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5233 ###################################################################### Accuracy: 71.92920922456668 Epoch 1/100 153/153 [==============================] - 0s 956us/step - loss: 0.9425 Epoch 2/100 153/153 [==============================] - 0s 900us/step - loss: 0.7025 Epoch 3/100 153/153 [==============================] - ETA: 0s - loss: 0.630 - 0s 913us/step - loss: 0.6285 Epoch 4/100 153/153 [==============================] - 0s 873us/step - loss: 0.6154 Epoch 5/100 153/153 [==============================] - 0s 867us/step - loss: 0.6111 Epoch 6/100 153/153 [==============================] - 0s 932us/step - loss: 0.6021 Epoch 7/100 153/153 [==============================] - 0s 939us/step - loss: 0.5992 Epoch 8/100 153/153 [==============================] - 0s 919us/step - loss: 0.5938 Epoch 9/100 153/153 [==============================] - 0s 906us/step - loss: 0.5906 Epoch 10/100 153/153 [==============================] - 0s 880us/step - loss: 0.5889 Epoch 11/100 153/153 [==============================] - 0s 906us/step - loss: 0.5825 Epoch 12/100 153/153 [==============================] - 0s 906us/step - loss: 0.5853 Epoch 13/100 153/153 [==============================] - 0s 939us/step - loss: 0.5774 Epoch 14/100 153/153 [==============================] - 0s 834us/step - loss: 0.5790 Epoch 15/100 153/153 [==============================] - 0s 906us/step - loss: 0.5727 Epoch 16/100 153/153 [==============================] - 0s 860us/step - loss: 0.5727 Epoch 17/100 153/153 [==============================] - 0s 945us/step - loss: 0.5700 Epoch 18/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5671 Epoch 19/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5661 Epoch 20/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5648 Epoch 21/100 153/153 [==============================] - 0s 965us/step - loss: 0.5646 Epoch 22/100 153/153 [==============================] - 0s 984us/step - loss: 0.5639 Epoch 23/100 153/153 [==============================] - 0s 978us/step - loss: 0.5630 Epoch 24/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5586 Epoch 25/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5613 Epoch 26/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5609 Epoch 27/100 153/153 [==============================] - 0s 952us/step - loss: 0.5575 Epoch 28/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5583 Epoch 29/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5555 Epoch 30/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5570 Epoch 31/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5531 Epoch 32/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5506 Epoch 33/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5515 Epoch 34/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5526 Epoch 35/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5492 Epoch 36/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5484 Epoch 37/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5485 Epoch 38/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5477 Epoch 39/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5498 Epoch 40/100 153/153 [==============================] - 0s 932us/step - loss: 0.5461 Epoch 41/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5464 Epoch 42/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5496 Epoch 43/100 153/153 [==============================] - 0s 978us/step - loss: 0.5490 Epoch 44/100 153/153 [==============================] - 0s 958us/step - loss: 0.5462 Epoch 45/100 153/153 [==============================] - 0s 913us/step - loss: 0.5439 Epoch 46/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5450 Epoch 47/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5446 Epoch 48/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5415 Epoch 49/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5441 Epoch 50/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5455 Epoch 51/100 153/153 [==============================] - 0s 873us/step - loss: 0.5394 Epoch 52/100 153/153 [==============================] - ETA: 0s - loss: 0.555 - 0s 945us/step - loss: 0.5399 Epoch 53/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5388 Epoch 54/100 153/153 [==============================] - 0s 893us/step - loss: 0.5376 Epoch 55/100 153/153 [==============================] - 0s 880us/step - loss: 0.5377 Epoch 56/100 153/153 [==============================] - 0s 984us/step - loss: 0.5367 Epoch 57/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5387 Epoch 58/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5376 Epoch 59/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5383 Epoch 60/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5371 Epoch 61/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5376 Epoch 62/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5354 Epoch 63/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5347 Epoch 64/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5338 Epoch 65/100 153/153 [==============================] - 0s 913us/step - loss: 0.5335 Epoch 66/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5334 Epoch 67/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5328 Epoch 68/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5315 Epoch 69/100 153/153 [==============================] - 0s 906us/step - loss: 0.5308 Epoch 70/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5302 Epoch 71/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5331 Epoch 72/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5292 Epoch 73/100 153/153 [==============================] - 0s 3ms/step - loss: 0.5298 Epoch 74/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5291 Epoch 75/100 153/153 [==============================] - 0s 952us/step - loss: 0.5276 Epoch 76/100 153/153 [==============================] - 0s 880us/step - loss: 0.5319 Epoch 77/100 153/153 [==============================] - 0s 945us/step - loss: 0.5284 Epoch 78/100 153/153 [==============================] - 0s 919us/step - loss: 0.5238 Epoch 79/100 153/153 [==============================] - 0s 847us/step - loss: 0.5264 Epoch 80/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5282 Epoch 81/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5241 Epoch 82/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5274 Epoch 83/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5256 Epoch 84/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5280 Epoch 85/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5245 Epoch 86/100 153/153 [==============================] - 0s 860us/step - loss: 0.5262 Epoch 87/100 153/153 [==============================] - 0s 939us/step - loss: 0.5237 Epoch 88/100 153/153 [==============================] - 0s 887us/step - loss: 0.5227 Epoch 89/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5235 Epoch 90/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5222 Epoch 91/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5226 Epoch 92/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5217 Epoch 93/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5236 Epoch 94/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5197 Epoch 95/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5237 Epoch 96/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5200 Epoch 97/100 153/153 [==============================] - 0s 841us/step - loss: 0.5233 Epoch 98/100 153/153 [==============================] - 0s 841us/step - loss: 0.5217 Epoch 99/100 153/153 [==============================] - 0s 834us/step - loss: 0.5220 Epoch 100/100 153/153 [==============================] - 0s 847us/step - loss: 0.5229 ###################################################################### Accuracy: 87.49635733806471 Epoch 1/100 153/153 [==============================] - 0s 1ms/step - loss: 0.9944 Epoch 2/100 153/153 [==============================] - 0s 913us/step - loss: 0.7504 Epoch 3/100 153/153 [==============================] - 0s 971us/step - loss: 0.6565 Epoch 4/100 153/153 [==============================] - 0s 958us/step - loss: 0.6436 Epoch 5/100 153/153 [==============================] - 0s 932us/step - loss: 0.6377 Epoch 6/100 153/153 [==============================] - 0s 913us/step - loss: 0.6301 Epoch 7/100 153/153 [==============================] - 0s 945us/step - loss: 0.6262 Epoch 8/100 153/153 [==============================] - 0s 919us/step - loss: 0.6227 Epoch 9/100 153/153 [==============================] - 0s 2ms/step - loss: 0.6198 Epoch 10/100 153/153 [==============================] - 0s 1ms/step - loss: 0.6177 Epoch 11/100 153/153 [==============================] - 0s 906us/step - loss: 0.6131 Epoch 12/100 153/153 [==============================] - 0s 2ms/step - loss: 0.6112 Epoch 13/100 153/153 [==============================] - 0s 991us/step - loss: 0.6079 Epoch 14/100 153/153 [==============================] - 0s 965us/step - loss: 0.6069 Epoch 15/100 153/153 [==============================] - 0s 2ms/step - loss: 0.6040 Epoch 16/100 153/153 [==============================] - 0s 2ms/step - loss: 0.6050 Epoch 17/100 153/153 [==============================] - 0s 1ms/step - loss: 0.6008 Epoch 18/100 153/153 [==============================] - 0s 1ms/step - loss: 0.6003 Epoch 19/100 153/153 [==============================] - 0s 893us/step - loss: 0.5971 Epoch 20/100 153/153 [==============================] - 0s 860us/step - loss: 0.5991 Epoch 21/100 153/153 [==============================] - 0s 860us/step - loss: 0.5958 Epoch 22/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5976 Epoch 23/100 153/153 [==============================] - 0s 971us/step - loss: 0.5944 Epoch 24/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5948 Epoch 25/100 153/153 [==============================] - 0s 893us/step - loss: 0.5905 Epoch 26/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5908 Epoch 27/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5896 Epoch 28/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5894 Epoch 29/100 153/153 [==============================] - ETA: 0s - loss: 0.592 - 0s 1ms/step - loss: 0.5862 Epoch 30/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5917 Epoch 31/100 153/153 [==============================] - 0s 860us/step - loss: 0.5847 Epoch 32/100 153/153 [==============================] - 0s 873us/step - loss: 0.5851 Epoch 33/100 153/153 [==============================] - 0s 978us/step - loss: 0.5827 Epoch 34/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5815 Epoch 35/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5829 Epoch 36/100 153/153 [==============================] - 0s 919us/step - loss: 0.5735 Epoch 37/100 153/153 [==============================] - 0s 945us/step - loss: 0.5777 Epoch 38/100 153/153 [==============================] - 0s 860us/step - loss: 0.5788 Epoch 39/100 153/153 [==============================] - 0s 919us/step - loss: 0.5793 Epoch 40/100 153/153 [==============================] - 0s 887us/step - loss: 0.5763 Epoch 41/100 153/153 [==============================] - 0s 867us/step - loss: 0.5741 Epoch 42/100 153/153 [==============================] - 0s 867us/step - loss: 0.5743 Epoch 43/100 153/153 [==============================] - 0s 834us/step - loss: 0.5740 Epoch 44/100 153/153 [==============================] - 0s 815us/step - loss: 0.5730 Epoch 45/100 153/153 [==============================] - 0s 841us/step - loss: 0.5725 Epoch 46/100 153/153 [==============================] - 0s 834us/step - loss: 0.5672 Epoch 47/100 153/153 [==============================] - 0s 847us/step - loss: 0.5678 Epoch 48/100 153/153 [==============================] - 0s 854us/step - loss: 0.5680 Epoch 49/100 153/153 [==============================] - 0s 841us/step - loss: 0.5659 Epoch 50/100 153/153 [==============================] - 0s 841us/step - loss: 0.5710 Epoch 51/100 153/153 [==============================] - 0s 860us/step - loss: 0.5655 Epoch 52/100 153/153 [==============================] - 0s 841us/step - loss: 0.5645 Epoch 53/100 153/153 [==============================] - 0s 887us/step - loss: 0.5673 Epoch 54/100 153/153 [==============================] - 0s 978us/step - loss: 0.5589 Epoch 55/100 153/153 [==============================] - 0s 939us/step - loss: 0.5613 Epoch 56/100 153/153 [==============================] - 0s 860us/step - loss: 0.5595 Epoch 57/100 153/153 [==============================] - 0s 860us/step - loss: 0.5623 Epoch 58/100 153/153 [==============================] - 0s 854us/step - loss: 0.5590 Epoch 59/100 153/153 [==============================] - 0s 860us/step - loss: 0.5577 Epoch 60/100 153/153 [==============================] - 0s 847us/step - loss: 0.5557 Epoch 61/100 153/153 [==============================] - 0s 821us/step - loss: 0.5562 Epoch 62/100 153/153 [==============================] - 0s 854us/step - loss: 0.5537 Epoch 63/100 153/153 [==============================] - 0s 952us/step - loss: 0.5540 Epoch 64/100 153/153 [==============================] - 0s 971us/step - loss: 0.5521 Epoch 65/100 153/153 [==============================] - 0s 847us/step - loss: 0.5526 Epoch 66/100 153/153 [==============================] - 0s 860us/step - loss: 0.5505 Epoch 67/100 153/153 [==============================] - 0s 880us/step - loss: 0.5496 Epoch 68/100 153/153 [==============================] - 0s 867us/step - loss: 0.5489 Epoch 69/100 153/153 [==============================] - 0s 945us/step - loss: 0.5456 Epoch 70/100 153/153 [==============================] - 0s 913us/step - loss: 0.5464 Epoch 71/100 153/153 [==============================] - 0s 919us/step - loss: 0.5451 Epoch 72/100 153/153 [==============================] - 0s 880us/step - loss: 0.5437 Epoch 73/100 153/153 [==============================] - 0s 906us/step - loss: 0.5447 Epoch 74/100 153/153 [==============================] - 0s 893us/step - loss: 0.5425 Epoch 75/100 153/153 [==============================] - 0s 900us/step - loss: 0.5392 Epoch 76/100 153/153 [==============================] - 0s 913us/step - loss: 0.5423 Epoch 77/100 153/153 [==============================] - 0s 945us/step - loss: 0.5394 Epoch 78/100 153/153 [==============================] - 0s 919us/step - loss: 0.5405 Epoch 79/100 153/153 [==============================] - 0s 867us/step - loss: 0.5386 Epoch 80/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5358 Epoch 81/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5362 Epoch 82/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5340 Epoch 83/100 153/153 [==============================] - 0s 2ms/step - loss: 0.5327 Epoch 84/100 153/153 [==============================] - 0s 952us/step - loss: 0.5302 Epoch 85/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5307 Epoch 86/100 153/153 [==============================] - 0s 893us/step - loss: 0.5297 Epoch 87/100 153/153 [==============================] - 0s 906us/step - loss: 0.5287 Epoch 88/100 153/153 [==============================] - 0s 913us/step - loss: 0.5283 Epoch 89/100 153/153 [==============================] - 0s 887us/step - loss: 0.5310 Epoch 90/100 153/153 [==============================] - 0s 887us/step - loss: 0.5341 Epoch 91/100 153/153 [==============================] - 0s 854us/step - loss: 0.5220 Epoch 92/100 153/153 [==============================] - 0s 841us/step - loss: 0.5227 Epoch 93/100 153/153 [==============================] - 0s 795us/step - loss: 0.5208 Epoch 94/100 153/153 [==============================] - 0s 834us/step - loss: 0.5240 Epoch 95/100 153/153 [==============================] - 0s 867us/step - loss: 0.5221 Epoch 96/100 153/153 [==============================] - 0s 834us/step - loss: 0.5247 Epoch 97/100 153/153 [==============================] - 0s 984us/step - loss: 0.5209 Epoch 98/100 153/153 [==============================] - 0s 860us/step - loss: 0.5203 Epoch 99/100 153/153 [==============================] - 0s 841us/step - loss: 0.5179 Epoch 100/100 153/153 [==============================] - 0s 854us/step - loss: 0.5192 ###################################################################### Accuracy: 75.71207760540644 Epoch 1/100 153/153 [==============================] - 0s 901us/step - loss: 0.9768 Epoch 2/100 153/153 [==============================] - 0s 866us/step - loss: 0.7570 Epoch 3/100 153/153 [==============================] - 0s 828us/step - loss: 0.6470 Epoch 4/100 153/153 [==============================] - 0s 828us/step - loss: 0.6312 Epoch 5/100 153/153 [==============================] - 0s 860us/step - loss: 0.6210 Epoch 6/100 153/153 [==============================] - 0s 867us/step - loss: 0.6162 Epoch 7/100 153/153 [==============================] - 0s 945us/step - loss: 0.6071 Epoch 8/100 153/153 [==============================] - 0s 958us/step - loss: 0.6051 Epoch 9/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5977 Epoch 10/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5953 Epoch 11/100 153/153 [==============================] - 0s 932us/step - loss: 0.5890 Epoch 12/100 153/153 [==============================] - 0s 900us/step - loss: 0.5900 Epoch 13/100 153/153 [==============================] - 0s 926us/step - loss: 0.5860 Epoch 14/100 153/153 [==============================] - 0s 926us/step - loss: 0.5830 Epoch 15/100 153/153 [==============================] - 0s 841us/step - loss: 0.5827 Epoch 16/100 153/153 [==============================] - 0s 952us/step - loss: 0.5806 Epoch 17/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5763 Epoch 18/100 153/153 [==============================] - 0s 821us/step - loss: 0.5745 Epoch 19/100 153/153 [==============================] - 0s 821us/step - loss: 0.5738 Epoch 20/100 153/153 [==============================] - 0s 808us/step - loss: 0.5742 Epoch 21/100 153/153 [==============================] - 0s 821us/step - loss: 0.5708 Epoch 22/100 153/153 [==============================] - 0s 815us/step - loss: 0.5696 Epoch 23/100 153/153 [==============================] - 0s 795us/step - loss: 0.5680 Epoch 24/100 153/153 [==============================] - 0s 776us/step - loss: 0.5688 Epoch 25/100 153/153 [==============================] - 0s 828us/step - loss: 0.5654 Epoch 26/100 153/153 [==============================] - 0s 867us/step - loss: 0.5667 Epoch 27/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5645 Epoch 28/100 153/153 [==============================] - 0s 913us/step - loss: 0.5646 Epoch 29/100 153/153 [==============================] - 0s 880us/step - loss: 0.5648 Epoch 30/100 153/153 [==============================] - 0s 906us/step - loss: 0.5614 Epoch 31/100 153/153 [==============================] - 0s 880us/step - loss: 0.5626 Epoch 32/100 153/153 [==============================] - 0s 945us/step - loss: 0.5593 Epoch 33/100 153/153 [==============================] - 0s 906us/step - loss: 0.5595 Epoch 34/100 153/153 [==============================] - 0s 867us/step - loss: 0.5620 Epoch 35/100 153/153 [==============================] - 0s 841us/step - loss: 0.5585 Epoch 36/100 153/153 [==============================] - 0s 867us/step - loss: 0.5592 Epoch 37/100 153/153 [==============================] - 0s 958us/step - loss: 0.5590 Epoch 38/100 153/153 [==============================] - 0s 860us/step - loss: 0.5559 Epoch 39/100 153/153 [==============================] - 0s 887us/step - loss: 0.5581 Epoch 40/100 153/153 [==============================] - 0s 854us/step - loss: 0.5583 Epoch 41/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5579 Epoch 42/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5566 Epoch 43/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5550 Epoch 44/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5539 Epoch 45/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5543 Epoch 46/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5553 Epoch 47/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5546 Epoch 48/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5532 Epoch 49/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5539 Epoch 50/100 153/153 [==============================] - 0s 952us/step - loss: 0.5523 Epoch 51/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5524 Epoch 52/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5521 Epoch 53/100 153/153 [==============================] - 0s 984us/step - loss: 0.5512 Epoch 54/100 153/153 [==============================] - 0s 926us/step - loss: 0.5505 Epoch 55/100 153/153 [==============================] - 0s 900us/step - loss: 0.5493 Epoch 56/100 153/153 [==============================] - 0s 860us/step - loss: 0.5495 Epoch 57/100 153/153 [==============================] - 0s 867us/step - loss: 0.5494 Epoch 58/100 153/153 [==============================] - 0s 847us/step - loss: 0.5493 Epoch 59/100 153/153 [==============================] - 0s 887us/step - loss: 0.5474 Epoch 60/100 153/153 [==============================] - 0s 984us/step - loss: 0.5477 Epoch 61/100 153/153 [==============================] - 0s 828us/step - loss: 0.5481 Epoch 62/100 153/153 [==============================] - 0s 821us/step - loss: 0.5481 Epoch 63/100 153/153 [==============================] - 0s 821us/step - loss: 0.5484 Epoch 64/100 153/153 [==============================] - 0s 860us/step - loss: 0.5486 Epoch 65/100 153/153 [==============================] - 0s 841us/step - loss: 0.5453 Epoch 66/100 153/153 [==============================] - 0s 802us/step - loss: 0.5469 Epoch 67/100 153/153 [==============================] - 0s 815us/step - loss: 0.5475 Epoch 68/100 153/153 [==============================] - 0s 807us/step - loss: 0.5442 Epoch 69/100 153/153 [==============================] - 0s 860us/step - loss: 0.5433 Epoch 70/100 153/153 [==============================] - 0s 965us/step - loss: 0.5438 Epoch 71/100 153/153 [==============================] - 0s 913us/step - loss: 0.5418 Epoch 72/100 153/153 [==============================] - 0s 887us/step - loss: 0.5421 Epoch 73/100 153/153 [==============================] - 0s 952us/step - loss: 0.5439 Epoch 74/100 153/153 [==============================] - 0s 906us/step - loss: 0.5424 Epoch 75/100 153/153 [==============================] - 0s 887us/step - loss: 0.5435 Epoch 76/100 153/153 [==============================] - 0s 919us/step - loss: 0.5407 Epoch 77/100 153/153 [==============================] - 0s 900us/step - loss: 0.5409 Epoch 78/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5383 Epoch 79/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5424 Epoch 80/100 153/153 [==============================] - 0s 971us/step - loss: 0.5382 Epoch 81/100 153/153 [==============================] - 0s 867us/step - loss: 0.5382 Epoch 82/100 153/153 [==============================] - 0s 891us/step - loss: 0.5389 Epoch 83/100 153/153 [==============================] - 0s 906us/step - loss: 0.5364 Epoch 84/100 153/153 [==============================] - 0s 860us/step - loss: 0.5377 Epoch 85/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5360 Epoch 86/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5352 Epoch 87/100 153/153 [==============================] - 0s 821us/step - loss: 0.5367 Epoch 88/100 153/153 [==============================] - 0s 802us/step - loss: 0.5366 Epoch 89/100 153/153 [==============================] - 0s 715us/step - loss: 0.5337 Epoch 90/100 153/153 [==============================] - 0s 613us/step - loss: 0.5339 Epoch 91/100 153/153 [==============================] - 0s 715us/step - loss: 0.5362 Epoch 92/100 153/153 [==============================] - 0s 817us/step - loss: 0.5336 Epoch 93/100 153/153 [==============================] - 0s 910us/step - loss: 0.5322 Epoch 94/100 153/153 [==============================] - 0s 939us/step - loss: 0.5321 Epoch 95/100 153/153 [==============================] - 0s 873us/step - loss: 0.5312 Epoch 96/100 153/153 [==============================] - 0s 828us/step - loss: 0.5314 Epoch 97/100 153/153 [==============================] - 0s 841us/step - loss: 0.5317 Epoch 98/100 153/153 [==============================] - 0s 873us/step - loss: 0.5299 Epoch 99/100 153/153 [==============================] - 0s 893us/step - loss: 0.5290 Epoch 100/100 153/153 [==============================] - 0s 834us/step - loss: 0.5285 ###################################################################### Accuracy: 70.70694281665754 Epoch 1/150 152/152 [==============================] - 0s 840us/step - loss: 0.9965 Epoch 2/150 152/152 [==============================] - 0s 807us/step - loss: 0.7644 Epoch 3/150 152/152 [==============================] - 0s 794us/step - loss: 0.6436 Epoch 4/150 152/152 [==============================] - 0s 748us/step - loss: 0.6288 Epoch 5/150 152/152 [==============================] - 0s 814us/step - loss: 0.6205 Epoch 6/150 152/152 [==============================] - 0s 807us/step - loss: 0.6110 Epoch 7/150 152/152 [==============================] - 0s 755us/step - loss: 0.6046 Epoch 8/150 152/152 [==============================] - 0s 768us/step - loss: 0.6019 Epoch 9/150 152/152 [==============================] - 0s 794us/step - loss: 0.5956 Epoch 10/150 152/152 [==============================] - 0s 860us/step - loss: 0.5941 Epoch 11/150 152/152 [==============================] - 0s 735us/step - loss: 0.5911 Epoch 12/150 152/152 [==============================] - 0s 833us/step - loss: 0.5895 Epoch 13/150 152/152 [==============================] - 0s 807us/step - loss: 0.5860 Epoch 14/150 152/152 [==============================] - 0s 728us/step - loss: 0.5805 Epoch 15/150 152/152 [==============================] - 0s 800us/step - loss: 0.5790 Epoch 16/150 152/152 [==============================] - 0s 774us/step - loss: 0.5785 Epoch 17/150 152/152 [==============================] - 0s 807us/step - loss: 0.5746 Epoch 18/150 152/152 [==============================] - 0s 794us/step - loss: 0.5751 Epoch 19/150 152/152 [==============================] - 0s 768us/step - loss: 0.5729 Epoch 20/150 152/152 [==============================] - 0s 787us/step - loss: 0.5696 Epoch 21/150 152/152 [==============================] - 0s 814us/step - loss: 0.5707 Epoch 22/150 152/152 [==============================] - 0s 807us/step - loss: 0.5691 Epoch 23/150 152/152 [==============================] - 0s 800us/step - loss: 0.5686 Epoch 24/150 152/152 [==============================] - 0s 748us/step - loss: 0.5644 Epoch 25/150 152/152 [==============================] - 0s 787us/step - loss: 0.5641 Epoch 26/150 152/152 [==============================] - 0s 787us/step - loss: 0.5617 Epoch 27/150 152/152 [==============================] - 0s 787us/step - loss: 0.5633 Epoch 28/150 152/152 [==============================] - 0s 794us/step - loss: 0.5605 Epoch 29/150 152/152 [==============================] - 0s 781us/step - loss: 0.5607 Epoch 30/150 152/152 [==============================] - 0s 781us/step - loss: 0.5588 Epoch 31/150 152/152 [==============================] - 0s 807us/step - loss: 0.5562 Epoch 32/150 152/152 [==============================] - 0s 774us/step - loss: 0.5570 Epoch 33/150 152/152 [==============================] - 0s 735us/step - loss: 0.5562 Epoch 34/150 152/152 [==============================] - 0s 807us/step - loss: 0.5543 Epoch 35/150 152/152 [==============================] - 0s 787us/step - loss: 0.5551 Epoch 36/150 152/152 [==============================] - 0s 833us/step - loss: 0.5545 Epoch 37/150 152/152 [==============================] - 0s 781us/step - loss: 0.5552 Epoch 38/150 152/152 [==============================] - 0s 820us/step - loss: 0.5532 Epoch 39/150 152/152 [==============================] - 0s 781us/step - loss: 0.5521 Epoch 40/150 152/152 [==============================] - 0s 840us/step - loss: 0.5506 Epoch 41/150 152/152 [==============================] - 0s 820us/step - loss: 0.5511 Epoch 42/150 152/152 [==============================] - 0s 833us/step - loss: 0.5515 Epoch 43/150 152/152 [==============================] - 0s 741us/step - loss: 0.5515 Epoch 44/150 152/152 [==============================] - 0s 768us/step - loss: 0.5505 Epoch 45/150 152/152 [==============================] - 0s 774us/step - loss: 0.5483 Epoch 46/150 152/152 [==============================] - 0s 748us/step - loss: 0.5487 Epoch 47/150 152/152 [==============================] - 0s 833us/step - loss: 0.5469 Epoch 48/150 152/152 [==============================] - 0s 774us/step - loss: 0.5466 Epoch 49/150 152/152 [==============================] - 0s 735us/step - loss: 0.5462 Epoch 50/150 152/152 [==============================] - 0s 866us/step - loss: 0.5485 Epoch 51/150 152/152 [==============================] - 0s 879us/step - loss: 0.5473 Epoch 52/150 152/152 [==============================] - 0s 853us/step - loss: 0.5455 Epoch 53/150 152/152 [==============================] - 0s 846us/step - loss: 0.5439 Epoch 54/150 152/152 [==============================] - 0s 820us/step - loss: 0.5420 Epoch 55/150 152/152 [==============================] - 0s 932us/step - loss: 0.5451 Epoch 56/150 152/152 [==============================] - 0s 840us/step - loss: 0.5453 Epoch 57/150 152/152 [==============================] - 0s 820us/step - loss: 0.5416 Epoch 58/150 152/152 [==============================] - 0s 781us/step - loss: 0.5430 Epoch 59/150 152/152 [==============================] - 0s 755us/step - loss: 0.5418 Epoch 60/150 152/152 [==============================] - 0s 787us/step - loss: 0.5399 Epoch 61/150 152/152 [==============================] - 0s 787us/step - loss: 0.5423 Epoch 62/150 152/152 [==============================] - 0s 768us/step - loss: 0.5404 Epoch 63/150 152/152 [==============================] - 0s 794us/step - loss: 0.5394 Epoch 64/150 152/152 [==============================] - 0s 761us/step - loss: 0.5401 Epoch 65/150 152/152 [==============================] - 0s 735us/step - loss: 0.5385 Epoch 66/150 152/152 [==============================] - 0s 833us/step - loss: 0.5382 Epoch 67/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5371 Epoch 68/150 152/152 [==============================] - 0s 860us/step - loss: 0.5374 Epoch 69/150 152/152 [==============================] - 0s 873us/step - loss: 0.5375 Epoch 70/150 152/152 [==============================] - 0s 833us/step - loss: 0.5379 Epoch 71/150 152/152 [==============================] - 0s 892us/step - loss: 0.5340 Epoch 72/150 152/152 [==============================] - 0s 787us/step - loss: 0.5367 Epoch 73/150 152/152 [==============================] - 0s 820us/step - loss: 0.5384 Epoch 74/150 152/152 [==============================] - 0s 978us/step - loss: 0.5375 Epoch 75/150 152/152 [==============================] - 0s 787us/step - loss: 0.5367 Epoch 76/150 152/152 [==============================] - 0s 741us/step - loss: 0.5361 Epoch 77/150 152/152 [==============================] - 0s 757us/step - loss: 0.5334 Epoch 78/150 152/152 [==============================] - 0s 822us/step - loss: 0.5356 Epoch 79/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5339 Epoch 80/150 152/152 [==============================] - 0s 892us/step - loss: 0.5376 Epoch 81/150 152/152 [==============================] - 0s 866us/step - loss: 0.5336 Epoch 82/150 152/152 [==============================] - 0s 846us/step - loss: 0.5312 Epoch 83/150 152/152 [==============================] - 0s 945us/step - loss: 0.5314 Epoch 84/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5322 Epoch 85/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5317 Epoch 86/150 152/152 [==============================] - 0s 949us/step - loss: 0.5330 Epoch 87/150 152/152 [==============================] - 0s 800us/step - loss: 0.5316 Epoch 88/150 152/152 [==============================] - 0s 827us/step - loss: 0.5303 Epoch 89/150 152/152 [==============================] - 0s 873us/step - loss: 0.5310 Epoch 90/150 152/152 [==============================] - 0s 866us/step - loss: 0.5276 Epoch 91/150 152/152 [==============================] - 0s 827us/step - loss: 0.5291 Epoch 92/150 152/152 [==============================] - 0s 853us/step - loss: 0.5286 Epoch 93/150 152/152 [==============================] - 0s 794us/step - loss: 0.5284 Epoch 94/150 152/152 [==============================] - 0s 846us/step - loss: 0.5273 Epoch 95/150 152/152 [==============================] - 0s 840us/step - loss: 0.5275 Epoch 96/150 152/152 [==============================] - 0s 820us/step - loss: 0.5283 Epoch 97/150 152/152 [==============================] - 0s 814us/step - loss: 0.5252 Epoch 98/150 152/152 [==============================] - 0s 840us/step - loss: 0.5259 Epoch 99/150 152/152 [==============================] - 0s 971us/step - loss: 0.5242 Epoch 100/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5255 Epoch 101/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5246 Epoch 102/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5234 Epoch 103/150 152/152 [==============================] - 0s 945us/step - loss: 0.5214 Epoch 104/150 152/152 [==============================] - 0s 991us/step - loss: 0.5217 Epoch 105/150 152/152 [==============================] - 0s 866us/step - loss: 0.5211 Epoch 106/150 152/152 [==============================] - 0s 807us/step - loss: 0.5241 Epoch 107/150 152/152 [==============================] - 0s 873us/step - loss: 0.5200 Epoch 108/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5204 Epoch 109/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5190 Epoch 110/150 152/152 [==============================] - 0s 938us/step - loss: 0.5195 Epoch 111/150 152/152 [==============================] - 0s 991us/step - loss: 0.5193 Epoch 112/150 152/152 [==============================] - 0s 912us/step - loss: 0.5190 Epoch 113/150 152/152 [==============================] - 0s 853us/step - loss: 0.5156 Epoch 114/150 152/152 [==============================] - 0s 853us/step - loss: 0.5176 Epoch 115/150 152/152 [==============================] - 0s 873us/step - loss: 0.5158 Epoch 116/150 152/152 [==============================] - 0s 919us/step - loss: 0.5172 Epoch 117/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5143 Epoch 118/150 152/152 [==============================] - 0s 1ms/step - loss: 0.5147 Epoch 119/150 152/152 [==============================] - 0s 899us/step - loss: 0.5131 Epoch 120/150 152/152 [==============================] - 0s 938us/step - loss: 0.5143 Epoch 121/150 152/152 [==============================] - 0s 919us/step - loss: 0.5135 Epoch 122/150 152/152 [==============================] - 0s 879us/step - loss: 0.5115 Epoch 123/150 152/152 [==============================] - 0s 860us/step - loss: 0.5111 Epoch 124/150 152/152 [==============================] - 0s 886us/step - loss: 0.5097 Epoch 125/150 152/152 [==============================] - 0s 827us/step - loss: 0.5106 Epoch 126/150 152/152 [==============================] - 0s 879us/step - loss: 0.5105 Epoch 127/150 152/152 [==============================] - 0s 860us/step - loss: 0.5111 Epoch 128/150 152/152 [==============================] - 0s 938us/step - loss: 0.5093 Epoch 129/150 152/152 [==============================] - 0s 951us/step - loss: 0.5080 Epoch 130/150 152/152 [==============================] - 0s 938us/step - loss: 0.5072 Epoch 131/150 152/152 [==============================] - 0s 886us/step - loss: 0.5071 Epoch 132/150 152/152 [==============================] - 0s 879us/step - loss: 0.5055 Epoch 133/150 152/152 [==============================] - 0s 820us/step - loss: 0.5098 Epoch 134/150 152/152 [==============================] - 0s 912us/step - loss: 0.5105 Epoch 135/150 152/152 [==============================] - 0s 820us/step - loss: 0.5055 Epoch 136/150 152/152 [==============================] - 0s 912us/step - loss: 0.5043 Epoch 137/150 152/152 [==============================] - 0s 925us/step - loss: 0.5035 Epoch 138/150 152/152 [==============================] - 0s 920us/step - loss: 0.5043 Epoch 139/150 152/152 [==============================] - 0s 984us/step - loss: 0.5027 Epoch 140/150 152/152 [==============================] - 0s 965us/step - loss: 0.5052 Epoch 141/150 152/152 [==============================] - 0s 938us/step - loss: 0.5037 Epoch 142/150 152/152 [==============================] - 0s 899us/step - loss: 0.5000 Epoch 143/150 152/152 [==============================] - 0s 853us/step - loss: 0.5044 Epoch 144/150 152/152 [==============================] - 0s 846us/step - loss: 0.5040 Epoch 145/150 152/152 [==============================] - 0s 873us/step - loss: 0.5022 Epoch 146/150 152/152 [==============================] - 0s 860us/step - loss: 0.4991 Epoch 147/150 152/152 [==============================] - 0s 912us/step - loss: 0.5004 Epoch 148/150 152/152 [==============================] - 0s 905us/step - loss: 0.4999 Epoch 149/150 152/152 [==============================] - 0s 919us/step - loss: 0.4998 Epoch 150/150 152/152 [==============================] - 0s 951us/step - loss: 0.4974 ###################################################################### Accuracy: 71.11455151761103 Epoch 1/150 153/153 [==============================] - 0s 916us/step - loss: 0.9524 Epoch 2/150 153/153 [==============================] - 0s 926us/step - loss: 0.7550 Epoch 3/150 153/153 [==============================] - 0s 984us/step - loss: 0.6545 Epoch 4/150 153/153 [==============================] - 0s 978us/step - loss: 0.6421 Epoch 5/150 153/153 [==============================] - 0s 893us/step - loss: 0.6295 Epoch 6/150 153/153 [==============================] - 0s 971us/step - loss: 0.6233 Epoch 7/150 153/153 [==============================] - 0s 867us/step - loss: 0.6199 Epoch 8/150 153/153 [==============================] - 0s 965us/step - loss: 0.6110 Epoch 9/150 153/153 [==============================] - 0s 913us/step - loss: 0.6082 Epoch 10/150 153/153 [==============================] - 0s 952us/step - loss: 0.6039 Epoch 11/150 153/153 [==============================] - 0s 932us/step - loss: 0.6011 Epoch 12/150 153/153 [==============================] - 0s 958us/step - loss: 0.6002 Epoch 13/150 153/153 [==============================] - 0s 873us/step - loss: 0.5922 Epoch 14/150 153/153 [==============================] - 0s 945us/step - loss: 0.5904 Epoch 15/150 153/153 [==============================] - 0s 906us/step - loss: 0.5878 Epoch 16/150 153/153 [==============================] - 0s 958us/step - loss: 0.5843 Epoch 17/150 153/153 [==============================] - 0s 854us/step - loss: 0.5847 Epoch 18/150 153/153 [==============================] - 0s 913us/step - loss: 0.5804 Epoch 19/150 153/153 [==============================] - 0s 887us/step - loss: 0.5796 Epoch 20/150 153/153 [==============================] - 0s 932us/step - loss: 0.5788 Epoch 21/150 153/153 [==============================] - 0s 880us/step - loss: 0.5777 Epoch 22/150 153/153 [==============================] - 0s 913us/step - loss: 0.5768 Epoch 23/150 153/153 [==============================] - 0s 971us/step - loss: 0.5751 Epoch 24/150 153/153 [==============================] - 0s 900us/step - loss: 0.5758 Epoch 25/150 153/153 [==============================] - 0s 958us/step - loss: 0.5741 Epoch 26/150 153/153 [==============================] - 0s 978us/step - loss: 0.5750 Epoch 27/150 153/153 [==============================] - 0s 939us/step - loss: 0.5711 Epoch 28/150 153/153 [==============================] - 0s 952us/step - loss: 0.5699 Epoch 29/150 153/153 [==============================] - 0s 958us/step - loss: 0.5698 Epoch 30/150 153/153 [==============================] - 0s 913us/step - loss: 0.5687 Epoch 31/150 153/153 [==============================] - 0s 919us/step - loss: 0.5696 Epoch 32/150 153/153 [==============================] - 0s 939us/step - loss: 0.5687 Epoch 33/150 153/153 [==============================] - 0s 926us/step - loss: 0.5665 Epoch 34/150 153/153 [==============================] - 0s 926us/step - loss: 0.5650 Epoch 35/150 153/153 [==============================] - 0s 991us/step - loss: 0.5678 Epoch 36/150 153/153 [==============================] - 0s 926us/step - loss: 0.5645 Epoch 37/150 153/153 [==============================] - 0s 932us/step - loss: 0.5655 Epoch 38/150 153/153 [==============================] - 0s 900us/step - loss: 0.5650 Epoch 39/150 153/153 [==============================] - 0s 958us/step - loss: 0.5624 Epoch 40/150 153/153 [==============================] - 0s 984us/step - loss: 0.5638 Epoch 41/150 153/153 [==============================] - 0s 919us/step - loss: 0.5617 Epoch 42/150 153/153 [==============================] - 0s 919us/step - loss: 0.5657 Epoch 43/150 153/153 [==============================] - 0s 939us/step - loss: 0.5630 Epoch 44/150 153/153 [==============================] - 0s 971us/step - loss: 0.5616 Epoch 45/150 153/153 [==============================] - 0s 880us/step - loss: 0.5610 Epoch 46/150 153/153 [==============================] - 0s 945us/step - loss: 0.5592 Epoch 47/150 153/153 [==============================] - 0s 984us/step - loss: 0.5601 Epoch 48/150 153/153 [==============================] - 0s 926us/step - loss: 0.5587 Epoch 49/150 153/153 [==============================] - 0s 932us/step - loss: 0.5573 Epoch 50/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5592 Epoch 51/150 153/153 [==============================] - 0s 958us/step - loss: 0.5584 Epoch 52/150 153/153 [==============================] - 0s 971us/step - loss: 0.5587 Epoch 53/150 153/153 [==============================] - 0s 971us/step - loss: 0.5572 Epoch 54/150 153/153 [==============================] - 0s 945us/step - loss: 0.5559 Epoch 55/150 153/153 [==============================] - 0s 926us/step - loss: 0.5574 Epoch 56/150 153/153 [==============================] - 0s 978us/step - loss: 0.5588 Epoch 57/150 153/153 [==============================] - 0s 906us/step - loss: 0.5565 Epoch 58/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5553 Epoch 59/150 153/153 [==============================] - 0s 913us/step - loss: 0.5541 Epoch 60/150 153/153 [==============================] - 0s 900us/step - loss: 0.5545 Epoch 61/150 153/153 [==============================] - 0s 880us/step - loss: 0.5523 Epoch 62/150 153/153 [==============================] - 0s 913us/step - loss: 0.5541 Epoch 63/150 153/153 [==============================] - 0s 887us/step - loss: 0.5546 Epoch 64/150 153/153 [==============================] - 0s 860us/step - loss: 0.5511 Epoch 65/150 153/153 [==============================] - 0s 887us/step - loss: 0.5519 Epoch 66/150 153/153 [==============================] - 0s 854us/step - loss: 0.5546 Epoch 67/150 153/153 [==============================] - 0s 906us/step - loss: 0.5540 Epoch 68/150 153/153 [==============================] - 0s 873us/step - loss: 0.5534 Epoch 69/150 153/153 [==============================] - 0s 854us/step - loss: 0.5517 Epoch 70/150 153/153 [==============================] - 0s 893us/step - loss: 0.5485 Epoch 71/150 153/153 [==============================] - 0s 867us/step - loss: 0.5511 Epoch 72/150 153/153 [==============================] - 0s 939us/step - loss: 0.5509 Epoch 73/150 153/153 [==============================] - 0s 939us/step - loss: 0.5474 Epoch 74/150 153/153 [==============================] - 0s 984us/step - loss: 0.5479 Epoch 75/150 153/153 [==============================] - 0s 952us/step - loss: 0.5475 Epoch 76/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5477 Epoch 77/150 153/153 [==============================] - 0s 991us/step - loss: 0.5468 Epoch 78/150 153/153 [==============================] - 0s 906us/step - loss: 0.5478 Epoch 79/150 153/153 [==============================] - 0s 945us/step - loss: 0.5479 Epoch 80/150 153/153 [==============================] - 0s 945us/step - loss: 0.5455 Epoch 81/150 153/153 [==============================] - 0s 906us/step - loss: 0.5469 Epoch 82/150 153/153 [==============================] - 0s 919us/step - loss: 0.5455 Epoch 83/150 153/153 [==============================] - 0s 958us/step - loss: 0.5478 Epoch 84/150 153/153 [==============================] - 0s 900us/step - loss: 0.5463 Epoch 85/150 153/153 [==============================] - 0s 939us/step - loss: 0.5438 Epoch 86/150 153/153 [==============================] - 0s 939us/step - loss: 0.5432 Epoch 87/150 153/153 [==============================] - 0s 880us/step - loss: 0.5453 Epoch 88/150 153/153 [==============================] - 0s 900us/step - loss: 0.5415 Epoch 89/150 153/153 [==============================] - 0s 893us/step - loss: 0.5438 Epoch 90/150 153/153 [==============================] - 0s 912us/step - loss: 0.5414 Epoch 91/150 153/153 [==============================] - 0s 958us/step - loss: 0.5418 Epoch 92/150 153/153 [==============================] - 0s 913us/step - loss: 0.5420 Epoch 93/150 153/153 [==============================] - 0s 887us/step - loss: 0.5414 Epoch 94/150 153/153 [==============================] - 0s 958us/step - loss: 0.5423 Epoch 95/150 153/153 [==============================] - 0s 893us/step - loss: 0.5400 Epoch 96/150 153/153 [==============================] - 0s 984us/step - loss: 0.5408 Epoch 97/150 153/153 [==============================] - 0s 965us/step - loss: 0.5404 Epoch 98/150 153/153 [==============================] - 0s 945us/step - loss: 0.5424 Epoch 99/150 153/153 [==============================] - 0s 926us/step - loss: 0.5383 Epoch 100/150 153/153 [==============================] - 0s 971us/step - loss: 0.5405 Epoch 101/150 153/153 [==============================] - 0s 952us/step - loss: 0.5380 Epoch 102/150 153/153 [==============================] - 0s 893us/step - loss: 0.5361 Epoch 103/150 153/153 [==============================] - 0s 952us/step - loss: 0.5398 Epoch 104/150 153/153 [==============================] - 0s 952us/step - loss: 0.5361 Epoch 105/150 153/153 [==============================] - 0s 952us/step - loss: 0.5391 Epoch 106/150 153/153 [==============================] - 0s 984us/step - loss: 0.5354 Epoch 107/150 153/153 [==============================] - 0s 939us/step - loss: 0.5357 Epoch 108/150 153/153 [==============================] - 0s 919us/step - loss: 0.5345 Epoch 109/150 153/153 [==============================] - 0s 932us/step - loss: 0.5326 Epoch 110/150 153/153 [==============================] - 0s 854us/step - loss: 0.5316 Epoch 111/150 153/153 [==============================] - 0s 860us/step - loss: 0.5338 Epoch 112/150 153/153 [==============================] - 0s 958us/step - loss: 0.5318 Epoch 113/150 153/153 [==============================] - 0s 945us/step - loss: 0.5294 Epoch 114/150 153/153 [==============================] - 0s 978us/step - loss: 0.5304 Epoch 115/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5301 Epoch 116/150 153/153 [==============================] - 0s 978us/step - loss: 0.5279 Epoch 117/150 153/153 [==============================] - 0s 965us/step - loss: 0.5302 Epoch 118/150 153/153 [==============================] - 0s 958us/step - loss: 0.5271 Epoch 119/150 153/153 [==============================] - 0s 958us/step - loss: 0.5263 Epoch 120/150 153/153 [==============================] - 0s 945us/step - loss: 0.5277 Epoch 121/150 153/153 [==============================] - 0s 939us/step - loss: 0.5286 Epoch 122/150 153/153 [==============================] - 0s 965us/step - loss: 0.5256 Epoch 123/150 153/153 [==============================] - 0s 945us/step - loss: 0.5252 Epoch 124/150 153/153 [==============================] - 0s 965us/step - loss: 0.5244 Epoch 125/150 153/153 [==============================] - 0s 932us/step - loss: 0.5238 Epoch 126/150 153/153 [==============================] - 0s 978us/step - loss: 0.5242 Epoch 127/150 153/153 [==============================] - 0s 958us/step - loss: 0.5233 Epoch 128/150 153/153 [==============================] - 0s 952us/step - loss: 0.5244 Epoch 129/150 153/153 [==============================] - 0s 952us/step - loss: 0.5223 Epoch 130/150 153/153 [==============================] - 0s 900us/step - loss: 0.5235 Epoch 131/150 153/153 [==============================] - 0s 841us/step - loss: 0.5231 Epoch 132/150 153/153 [==============================] - 0s 867us/step - loss: 0.5237 Epoch 133/150 153/153 [==============================] - 0s 932us/step - loss: 0.5209 Epoch 134/150 153/153 [==============================] - 0s 958us/step - loss: 0.5230 Epoch 135/150 153/153 [==============================] - 0s 965us/step - loss: 0.5202 Epoch 136/150 153/153 [==============================] - 0s 926us/step - loss: 0.5210 Epoch 137/150 153/153 [==============================] - 0s 978us/step - loss: 0.5179 Epoch 138/150 153/153 [==============================] - 0s 919us/step - loss: 0.5192 Epoch 139/150 153/153 [==============================] - 0s 887us/step - loss: 0.5202 Epoch 140/150 153/153 [==============================] - 0s 932us/step - loss: 0.5192 Epoch 141/150 153/153 [==============================] - 0s 913us/step - loss: 0.5190 Epoch 142/150 153/153 [==============================] - 0s 913us/step - loss: 0.5177 Epoch 143/150 153/153 [==============================] - 0s 958us/step - loss: 0.5159 Epoch 144/150 153/153 [==============================] - 0s 939us/step - loss: 0.5190 Epoch 145/150 153/153 [==============================] - 0s 958us/step - loss: 0.5148 Epoch 146/150 153/153 [==============================] - 0s 919us/step - loss: 0.5167 Epoch 147/150 153/153 [==============================] - 0s 919us/step - loss: 0.5190 Epoch 148/150 153/153 [==============================] - 0s 873us/step - loss: 0.5169 Epoch 149/150 153/153 [==============================] - 0s 860us/step - loss: 0.5152 Epoch 150/150 153/153 [==============================] - 0s 899us/step - loss: 0.5150 ###################################################################### Accuracy: 72.63878142619193 Epoch 1/150 153/153 [==============================] - 0s 978us/step - loss: 0.9604 Epoch 2/150 153/153 [==============================] - 0s 932us/step - loss: 0.7800 Epoch 3/150 153/153 [==============================] - 0s 939us/step - loss: 0.6484 Epoch 4/150 153/153 [==============================] - 0s 958us/step - loss: 0.6251 Epoch 5/150 153/153 [==============================] - 0s 932us/step - loss: 0.6188 Epoch 6/150 153/153 [==============================] - 0s 926us/step - loss: 0.6113 Epoch 7/150 153/153 [==============================] - 0s 939us/step - loss: 0.6051 Epoch 8/150 153/153 [==============================] - 0s 926us/step - loss: 0.6029 Epoch 9/150 153/153 [==============================] - 0s 919us/step - loss: 0.5969 Epoch 10/150 153/153 [==============================] - 0s 893us/step - loss: 0.5930 Epoch 11/150 153/153 [==============================] - 0s 913us/step - loss: 0.5874 Epoch 12/150 153/153 [==============================] - 0s 945us/step - loss: 0.5846 Epoch 13/150 153/153 [==============================] - 0s 978us/step - loss: 0.5815 Epoch 14/150 153/153 [==============================] - 0s 971us/step - loss: 0.5778 Epoch 15/150 153/153 [==============================] - 0s 926us/step - loss: 0.5755 Epoch 16/150 153/153 [==============================] - 0s 939us/step - loss: 0.5730 Epoch 17/150 153/153 [==============================] - 0s 893us/step - loss: 0.5707 Epoch 18/150 153/153 [==============================] - 0s 932us/step - loss: 0.5697 Epoch 19/150 153/153 [==============================] - 0s 971us/step - loss: 0.5684 Epoch 20/150 153/153 [==============================] - 0s 945us/step - loss: 0.5648 Epoch 21/150 153/153 [==============================] - 0s 926us/step - loss: 0.5651 Epoch 22/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5613A: 0s - loss: 0.53 Epoch 23/150 153/153 [==============================] - 0s 932us/step - loss: 0.5640 Epoch 24/150 153/153 [==============================] - 0s 860us/step - loss: 0.5644 Epoch 25/150 153/153 [==============================] - 0s 860us/step - loss: 0.5592 Epoch 26/150 153/153 [==============================] - 0s 867us/step - loss: 0.5563 Epoch 27/150 153/153 [==============================] - 0s 887us/step - loss: 0.5576 Epoch 28/150 153/153 [==============================] - 0s 867us/step - loss: 0.5554 Epoch 29/150 153/153 [==============================] - 0s 867us/step - loss: 0.5559 Epoch 30/150 153/153 [==============================] - 0s 841us/step - loss: 0.5552 Epoch 31/150 153/153 [==============================] - 0s 841us/step - loss: 0.5537 Epoch 32/150 153/153 [==============================] - 0s 854us/step - loss: 0.5529 Epoch 33/150 153/153 [==============================] - 0s 867us/step - loss: 0.5515 Epoch 34/150 153/153 [==============================] - 0s 887us/step - loss: 0.5517 0s - loss: 0.532 Epoch 35/150 153/153 [==============================] - 0s 997us/step - loss: 0.5502 Epoch 36/150 153/153 [==============================] - 0s 873us/step - loss: 0.5497 Epoch 37/150 153/153 [==============================] - 0s 873us/step - loss: 0.5506 Epoch 38/150 153/153 [==============================] - 0s 932us/step - loss: 0.5484 Epoch 39/150 153/153 [==============================] - 0s 847us/step - loss: 0.5479 Epoch 40/150 153/153 [==============================] - 0s 828us/step - loss: 0.5502 Epoch 41/150 153/153 [==============================] - 0s 847us/step - loss: 0.5463 Epoch 42/150 153/153 [==============================] - 0s 887us/step - loss: 0.5470 Epoch 43/150 153/153 [==============================] - 0s 893us/step - loss: 0.5455 Epoch 44/150 153/153 [==============================] - 0s 860us/step - loss: 0.5440 Epoch 45/150 153/153 [==============================] - 0s 867us/step - loss: 0.5457 Epoch 46/150 153/153 [==============================] - 0s 880us/step - loss: 0.5455 Epoch 47/150 153/153 [==============================] - 0s 919us/step - loss: 0.5428 Epoch 48/150 153/153 [==============================] - 0s 821us/step - loss: 0.5437 Epoch 49/150 153/153 [==============================] - 0s 880us/step - loss: 0.5417 Epoch 50/150 153/153 [==============================] - 0s 880us/step - loss: 0.5421 Epoch 51/150 153/153 [==============================] - 0s 893us/step - loss: 0.5432 Epoch 52/150 153/153 [==============================] - 0s 828us/step - loss: 0.5427 Epoch 53/150 153/153 [==============================] - 0s 880us/step - loss: 0.5390 Epoch 54/150 153/153 [==============================] - 0s 965us/step - loss: 0.5397 Epoch 55/150 153/153 [==============================] - 0s 978us/step - loss: 0.5404 Epoch 56/150 153/153 [==============================] - 0s 971us/step - loss: 0.5417 Epoch 57/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5382 Epoch 58/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5381 Epoch 59/150 153/153 [==============================] - 0s 958us/step - loss: 0.5413 Epoch 60/150 153/153 [==============================] - 0s 945us/step - loss: 0.5370 Epoch 61/150 153/153 [==============================] - 0s 906us/step - loss: 0.5351 Epoch 62/150 153/153 [==============================] - 0s 952us/step - loss: 0.5356 Epoch 63/150 153/153 [==============================] - 0s 939us/step - loss: 0.5354 Epoch 64/150 153/153 [==============================] - 0s 971us/step - loss: 0.5352 Epoch 65/150 153/153 [==============================] - 0s 978us/step - loss: 0.5361 Epoch 66/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5340 Epoch 67/150 153/153 [==============================] - 0s 997us/step - loss: 0.5330 Epoch 68/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5324 Epoch 69/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5308 Epoch 70/150 153/153 [==============================] - 0s 952us/step - loss: 0.5360 Epoch 71/150 153/153 [==============================] - 0s 913us/step - loss: 0.5295 Epoch 72/150 153/153 [==============================] - 0s 887us/step - loss: 0.5317 Epoch 73/150 153/153 [==============================] - 0s 893us/step - loss: 0.5292 Epoch 74/150 153/153 [==============================] - 0s 926us/step - loss: 0.5304 Epoch 75/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5282 Epoch 76/150 153/153 [==============================] - 0s 932us/step - loss: 0.5274 Epoch 77/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5282 Epoch 78/150 153/153 [==============================] - 0s 945us/step - loss: 0.5303 Epoch 79/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5283 Epoch 80/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5268 Epoch 81/150 153/153 [==============================] - 0s 958us/step - loss: 0.5256 Epoch 82/150 153/153 [==============================] - 0s 900us/step - loss: 0.5288 Epoch 83/150 153/153 [==============================] - 0s 958us/step - loss: 0.5245 Epoch 84/150 153/153 [==============================] - 0s 919us/step - loss: 0.5239 Epoch 85/150 153/153 [==============================] - 0s 958us/step - loss: 0.5254 Epoch 86/150 153/153 [==============================] - 0s 932us/step - loss: 0.5229 Epoch 87/150 153/153 [==============================] - 0s 939us/step - loss: 0.5220 Epoch 88/150 153/153 [==============================] - 0s 965us/step - loss: 0.5229 Epoch 89/150 153/153 [==============================] - 0s 860us/step - loss: 0.5225 Epoch 90/150 153/153 [==============================] - 0s 900us/step - loss: 0.5225 Epoch 91/150 153/153 [==============================] - 0s 952us/step - loss: 0.5189 Epoch 92/150 153/153 [==============================] - 0s 926us/step - loss: 0.5207 Epoch 93/150 153/153 [==============================] - 0s 893us/step - loss: 0.5218 Epoch 94/150 153/153 [==============================] - 0s 906us/step - loss: 0.5204 Epoch 95/150 153/153 [==============================] - 0s 919us/step - loss: 0.5190 Epoch 96/150 153/153 [==============================] - 0s 939us/step - loss: 0.5195 Epoch 97/150 153/153 [==============================] - 0s 965us/step - loss: 0.5215 Epoch 98/150 153/153 [==============================] - 0s 913us/step - loss: 0.5180 Epoch 99/150 153/153 [==============================] - 0s 939us/step - loss: 0.5166 Epoch 100/150 153/153 [==============================] - 0s 984us/step - loss: 0.5184 Epoch 101/150 153/153 [==============================] - 0s 965us/step - loss: 0.5152 Epoch 102/150 153/153 [==============================] - 0s 932us/step - loss: 0.5156 Epoch 103/150 153/153 [==============================] - 0s 952us/step - loss: 0.5176 Epoch 104/150 153/153 [==============================] - 0s 939us/step - loss: 0.5149 Epoch 105/150 153/153 [==============================] - 0s 906us/step - loss: 0.5140 Epoch 106/150 153/153 [==============================] - 0s 926us/step - loss: 0.5156 Epoch 107/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5162 Epoch 108/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5146 Epoch 109/150 153/153 [==============================] - 0s 965us/step - loss: 0.5117 Epoch 110/150 153/153 [==============================] - 0s 958us/step - loss: 0.5144 Epoch 111/150 153/153 [==============================] - 0s 991us/step - loss: 0.5131 Epoch 112/150 153/153 [==============================] - 0s 971us/step - loss: 0.5124 Epoch 113/150 153/153 [==============================] - 0s 984us/step - loss: 0.5106 Epoch 114/150 153/153 [==============================] - 0s 991us/step - loss: 0.5118 Epoch 115/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5119 Epoch 116/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5117 Epoch 117/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5101 Epoch 118/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5117 Epoch 119/150 153/153 [==============================] - 0s 965us/step - loss: 0.5086 Epoch 120/150 153/153 [==============================] - 0s 991us/step - loss: 0.5110 Epoch 121/150 153/153 [==============================] - 0s 984us/step - loss: 0.5082 Epoch 122/150 153/153 [==============================] - 0s 978us/step - loss: 0.5055 Epoch 123/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5091 Epoch 124/150 153/153 [==============================] - 0s 958us/step - loss: 0.5052 Epoch 125/150 153/153 [==============================] - 0s 919us/step - loss: 0.5071 Epoch 126/150 153/153 [==============================] - 0s 939us/step - loss: 0.5036 Epoch 127/150 153/153 [==============================] - 0s 991us/step - loss: 0.5054 Epoch 128/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5057 Epoch 129/150 153/153 [==============================] - 0s 997us/step - loss: 0.5023 Epoch 130/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5051 Epoch 131/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5019 Epoch 132/150 153/153 [==============================] - 0s 945us/step - loss: 0.5029 Epoch 133/150 153/153 [==============================] - 0s 1ms/step - loss: 0.4989 Epoch 134/150 153/153 [==============================] - 0s 958us/step - loss: 0.4971 Epoch 135/150 153/153 [==============================] - 0s 984us/step - loss: 0.4974 Epoch 136/150 153/153 [==============================] - 0s 932us/step - loss: 0.4963 Epoch 137/150 153/153 [==============================] - 0s 971us/step - loss: 0.4943 Epoch 138/150 153/153 [==============================] - 0s 1ms/step - loss: 0.4966 Epoch 139/150 153/153 [==============================] - 0s 991us/step - loss: 0.4949 Epoch 140/150 153/153 [==============================] - 0s 991us/step - loss: 0.4925 Epoch 141/150 153/153 [==============================] - 0s 1ms/step - loss: 0.4918 Epoch 142/150 153/153 [==============================] - 0s 965us/step - loss: 0.4923 Epoch 143/150 153/153 [==============================] - 0s 926us/step - loss: 0.4936 Epoch 144/150 153/153 [==============================] - 0s 1ms/step - loss: 0.4935 Epoch 145/150 153/153 [==============================] - 0s 952us/step - loss: 0.4914 Epoch 146/150 153/153 [==============================] - 0s 958us/step - loss: 0.4901 Epoch 147/150 153/153 [==============================] - 0s 965us/step - loss: 0.4892 Epoch 148/150 153/153 [==============================] - 0s 1ms/step - loss: 0.4894 Epoch 149/150 153/153 [==============================] - 0s 926us/step - loss: 0.4860 Epoch 150/150 153/153 [==============================] - 0s 880us/step - loss: 0.4909 ###################################################################### Accuracy: 87.97126219728052 Epoch 1/150 153/153 [==============================] - 0s 908us/step - loss: 0.9884 Epoch 2/150 153/153 [==============================] - 0s 893us/step - loss: 0.7432 Epoch 3/150 153/153 [==============================] - 0s 841us/step - loss: 0.6572 Epoch 4/150 153/153 [==============================] - 0s 887us/step - loss: 0.6491 Epoch 5/150 153/153 [==============================] - 0s 906us/step - loss: 0.6451 Epoch 6/150 153/153 [==============================] - 0s 893us/step - loss: 0.6380 Epoch 7/150 153/153 [==============================] - 0s 952us/step - loss: 0.6354 Epoch 8/150 153/153 [==============================] - 0s 978us/step - loss: 0.6319 Epoch 9/150 153/153 [==============================] - 0s 945us/step - loss: 0.6276 Epoch 10/150 153/153 [==============================] - 0s 932us/step - loss: 0.6254 Epoch 11/150 153/153 [==============================] - 0s 932us/step - loss: 0.6196 Epoch 12/150 153/153 [==============================] - 0s 939us/step - loss: 0.6202 Epoch 13/150 153/153 [==============================] - 0s 926us/step - loss: 0.6141 Epoch 14/150 153/153 [==============================] - 0s 945us/step - loss: 0.6122 Epoch 15/150 153/153 [==============================] - 0s 978us/step - loss: 0.6080 Epoch 16/150 153/153 [==============================] - 0s 958us/step - loss: 0.6037 Epoch 17/150 153/153 [==============================] - 0s 945us/step - loss: 0.6052 Epoch 18/150 153/153 [==============================] - 0s 919us/step - loss: 0.6051 Epoch 19/150 153/153 [==============================] - 0s 919us/step - loss: 0.5995 Epoch 20/150 153/153 [==============================] - 0s 958us/step - loss: 0.5981 Epoch 21/150 153/153 [==============================] - 0s 945us/step - loss: 0.5956 Epoch 22/150 153/153 [==============================] - 0s 965us/step - loss: 0.5935 Epoch 23/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5924 Epoch 24/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5881 Epoch 25/150 153/153 [==============================] - 0s 952us/step - loss: 0.5878 Epoch 26/150 153/153 [==============================] - 0s 932us/step - loss: 0.5844 Epoch 27/150 153/153 [==============================] - 0s 900us/step - loss: 0.5864 Epoch 28/150 153/153 [==============================] - 0s 939us/step - loss: 0.5876 Epoch 29/150 153/153 [==============================] - 0s 926us/step - loss: 0.5814 Epoch 30/150 153/153 [==============================] - 0s 815us/step - loss: 0.5829 Epoch 31/150 153/153 [==============================] - 0s 913us/step - loss: 0.5804 Epoch 32/150 153/153 [==============================] - 0s 945us/step - loss: 0.5834 Epoch 33/150 153/153 [==============================] - 0s 847us/step - loss: 0.5787 Epoch 34/150 153/153 [==============================] - 0s 867us/step - loss: 0.5769 Epoch 35/150 153/153 [==============================] - 0s 913us/step - loss: 0.5756 Epoch 36/150 153/153 [==============================] - 0s 887us/step - loss: 0.5758 Epoch 37/150 153/153 [==============================] - 0s 971us/step - loss: 0.5724 Epoch 38/150 153/153 [==============================] - 0s 867us/step - loss: 0.5750 Epoch 39/150 153/153 [==============================] - 0s 867us/step - loss: 0.5718 Epoch 40/150 153/153 [==============================] - 0s 978us/step - loss: 0.5718 Epoch 41/150 153/153 [==============================] - 0s 971us/step - loss: 0.5689 Epoch 42/150 153/153 [==============================] - 0s 900us/step - loss: 0.5717 Epoch 43/150 153/153 [==============================] - 0s 919us/step - loss: 0.5688 Epoch 44/150 153/153 [==============================] - 0s 854us/step - loss: 0.5672 Epoch 45/150 153/153 [==============================] - 0s 847us/step - loss: 0.5661 Epoch 46/150 153/153 [==============================] - 0s 919us/step - loss: 0.5679 Epoch 47/150 153/153 [==============================] - 0s 952us/step - loss: 0.5669 Epoch 48/150 153/153 [==============================] - 0s 932us/step - loss: 0.5657 Epoch 49/150 153/153 [==============================] - 0s 945us/step - loss: 0.5637 Epoch 50/150 153/153 [==============================] - 0s 939us/step - loss: 0.5632 Epoch 51/150 153/153 [==============================] - 0s 932us/step - loss: 0.5607 Epoch 52/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5651 Epoch 53/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5608 Epoch 54/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5612 Epoch 55/150 153/153 [==============================] - 0s 932us/step - loss: 0.5610 Epoch 56/150 153/153 [==============================] - 0s 945us/step - loss: 0.5597 Epoch 57/150 153/153 [==============================] - 0s 873us/step - loss: 0.5584 Epoch 58/150 153/153 [==============================] - 0s 900us/step - loss: 0.5592 Epoch 59/150 153/153 [==============================] - 0s 873us/step - loss: 0.5564 Epoch 60/150 153/153 [==============================] - 0s 873us/step - loss: 0.5557 Epoch 61/150 153/153 [==============================] - 0s 808us/step - loss: 0.5569 Epoch 62/150 153/153 [==============================] - 0s 893us/step - loss: 0.5588 Epoch 63/150 153/153 [==============================] - 0s 906us/step - loss: 0.5579 Epoch 64/150 153/153 [==============================] - 0s 893us/step - loss: 0.5591 Epoch 65/150 153/153 [==============================] - 0s 860us/step - loss: 0.5552 Epoch 66/150 153/153 [==============================] - 0s 893us/step - loss: 0.5553 Epoch 67/150 153/153 [==============================] - 0s 900us/step - loss: 0.5558 Epoch 68/150 153/153 [==============================] - 0s 887us/step - loss: 0.5592 Epoch 69/150 153/153 [==============================] - 0s 919us/step - loss: 0.5543 Epoch 70/150 153/153 [==============================] - 0s 900us/step - loss: 0.5515 Epoch 71/150 153/153 [==============================] - 0s 932us/step - loss: 0.5543 Epoch 72/150 153/153 [==============================] - 0s 887us/step - loss: 0.5498 Epoch 73/150 153/153 [==============================] - 0s 958us/step - loss: 0.5536 Epoch 74/150 153/153 [==============================] - 0s 952us/step - loss: 0.5564 Epoch 75/150 153/153 [==============================] - 0s 991us/step - loss: 0.5512 Epoch 76/150 153/153 [==============================] - 0s 965us/step - loss: 0.5493 Epoch 77/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5512 Epoch 78/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5537 Epoch 79/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5500 Epoch 80/150 153/153 [==============================] - 0s 958us/step - loss: 0.5485 Epoch 81/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5499 Epoch 82/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5460 Epoch 83/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5459 Epoch 84/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5466 Epoch 85/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5459 Epoch 86/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5455 Epoch 87/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5438 Epoch 88/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5454 Epoch 89/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5408 Epoch 90/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5437 Epoch 91/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5397 Epoch 92/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5413 Epoch 93/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5387 Epoch 94/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5435 Epoch 95/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5397 Epoch 96/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5398 Epoch 97/150 153/153 [==============================] - 0s 992us/step - loss: 0.5337 Epoch 98/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5378 Epoch 99/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5333 Epoch 100/150 153/153 [==============================] - 0s 932us/step - loss: 0.5386 Epoch 101/150 153/153 [==============================] - 0s 893us/step - loss: 0.5335 Epoch 102/150 153/153 [==============================] - 0s 906us/step - loss: 0.5371 Epoch 103/150 153/153 [==============================] - 0s 952us/step - loss: 0.5338 Epoch 104/150 153/153 [==============================] - 0s 880us/step - loss: 0.5340 Epoch 105/150 153/153 [==============================] - 0s 860us/step - loss: 0.5304 Epoch 106/150 153/153 [==============================] - 0s 900us/step - loss: 0.5337 Epoch 107/150 153/153 [==============================] - 0s 906us/step - loss: 0.5343 Epoch 108/150 153/153 [==============================] - 0s 932us/step - loss: 0.5341 Epoch 109/150 153/153 [==============================] - 0s 984us/step - loss: 0.5313 Epoch 110/150 153/153 [==============================] - 0s 880us/step - loss: 0.5355 Epoch 111/150 153/153 [==============================] - 0s 913us/step - loss: 0.5307 Epoch 112/150 153/153 [==============================] - 0s 828us/step - loss: 0.5309 Epoch 113/150 153/153 [==============================] - 0s 932us/step - loss: 0.5295 Epoch 114/150 153/153 [==============================] - 0s 887us/step - loss: 0.5265 Epoch 115/150 153/153 [==============================] - 0s 893us/step - loss: 0.5330 Epoch 116/150 153/153 [==============================] - 0s 913us/step - loss: 0.5299 Epoch 117/150 153/153 [==============================] - 0s 874us/step - loss: 0.5292 Epoch 118/150 153/153 [==============================] - 0s 906us/step - loss: 0.5297 Epoch 119/150 153/153 [==============================] - 0s 808us/step - loss: 0.5289 Epoch 120/150 153/153 [==============================] - 0s 952us/step - loss: 0.5258 Epoch 121/150 153/153 [==============================] - ETA: 0s - loss: 0.547 - 0s 913us/step - loss: 0.5306 Epoch 122/150 153/153 [==============================] - 0s 965us/step - loss: 0.5301 Epoch 123/150 153/153 [==============================] - 0s 984us/step - loss: 0.5248 Epoch 124/150 153/153 [==============================] - 0s 913us/step - loss: 0.5221 Epoch 125/150 153/153 [==============================] - 0s 932us/step - loss: 0.5235 Epoch 126/150 153/153 [==============================] - 0s 913us/step - loss: 0.5233 Epoch 127/150 153/153 [==============================] - 0s 841us/step - loss: 0.5226 Epoch 128/150 153/153 [==============================] - 0s 834us/step - loss: 0.5240 Epoch 129/150 153/153 [==============================] - 0s 834us/step - loss: 0.5263 Epoch 130/150 153/153 [==============================] - 0s 834us/step - loss: 0.5228 Epoch 131/150 153/153 [==============================] - 0s 913us/step - loss: 0.5241 Epoch 132/150 153/153 [==============================] - 0s 971us/step - loss: 0.5226 Epoch 133/150 153/153 [==============================] - 0s 926us/step - loss: 0.5206 Epoch 134/150 153/153 [==============================] - 0s 913us/step - loss: 0.5195 Epoch 135/150 153/153 [==============================] - 0s 945us/step - loss: 0.5242 Epoch 136/150 153/153 [==============================] - 0s 958us/step - loss: 0.5218 Epoch 137/150 153/153 [==============================] - 0s 958us/step - loss: 0.5214 Epoch 138/150 153/153 [==============================] - 0s 978us/step - loss: 0.5190 Epoch 139/150 153/153 [==============================] - 0s 919us/step - loss: 0.5197 Epoch 140/150 153/153 [==============================] - 0s 906us/step - loss: 0.5209 Epoch 141/150 153/153 [==============================] - 0s 913us/step - loss: 0.5174 Epoch 142/150 153/153 [==============================] - 0s 932us/step - loss: 0.5193 Epoch 143/150 153/153 [==============================] - 0s 939us/step - loss: 0.5185 Epoch 144/150 153/153 [==============================] - 0s 926us/step - loss: 0.5172 Epoch 145/150 153/153 [==============================] - 0s 971us/step - loss: 0.5188 Epoch 146/150 153/153 [==============================] - 0s 873us/step - loss: 0.5181 Epoch 147/150 153/153 [==============================] - 0s 860us/step - loss: 0.5165 Epoch 148/150 153/153 [==============================] - 0s 828us/step - loss: 0.5230 Epoch 149/150 153/153 [==============================] - 0s 887us/step - loss: 0.5200 Epoch 150/150 153/153 [==============================] - 0s 919us/step - loss: 0.5163 ###################################################################### Accuracy: 71.80601894847479 Epoch 1/150 153/153 [==============================] - 0s 919us/step - loss: 0.9759 Epoch 2/150 153/153 [==============================] - 0s 828us/step - loss: 0.8221 Epoch 3/150 153/153 [==============================] - 0s 867us/step - loss: 0.7184 Epoch 4/150 153/153 [==============================] - 0s 919us/step - loss: 0.6565 Epoch 5/150 153/153 [==============================] - 0s 926us/step - loss: 0.6322 Epoch 6/150 153/153 [==============================] - 0s 926us/step - loss: 0.6164 Epoch 7/150 153/153 [==============================] - 0s 887us/step - loss: 0.6070 Epoch 8/150 153/153 [==============================] - 0s 906us/step - loss: 0.5992 Epoch 9/150 153/153 [==============================] - 0s 860us/step - loss: 0.5933 Epoch 10/150 153/153 [==============================] - 0s 919us/step - loss: 0.5893 Epoch 11/150 153/153 [==============================] - 0s 880us/step - loss: 0.5876 Epoch 12/150 153/153 [==============================] - 0s 880us/step - loss: 0.5826 Epoch 13/150 153/153 [==============================] - 0s 913us/step - loss: 0.5809 Epoch 14/150 153/153 [==============================] - 0s 952us/step - loss: 0.5819 Epoch 15/150 153/153 [==============================] - 0s 971us/step - loss: 0.5782 Epoch 16/150 153/153 [==============================] - 0s 926us/step - loss: 0.5755 Epoch 17/150 153/153 [==============================] - 0s 932us/step - loss: 0.5714 Epoch 18/150 153/153 [==============================] - 0s 932us/step - loss: 0.5730 Epoch 19/150 153/153 [==============================] - 0s 926us/step - loss: 0.5718 Epoch 20/150 153/153 [==============================] - 0s 867us/step - loss: 0.5693 Epoch 21/150 153/153 [==============================] - 0s 971us/step - loss: 0.5698 Epoch 22/150 153/153 [==============================] - 0s 893us/step - loss: 0.5659 Epoch 23/150 153/153 [==============================] - 0s 965us/step - loss: 0.5648 Epoch 24/150 153/153 [==============================] - 0s 958us/step - loss: 0.5653 Epoch 25/150 153/153 [==============================] - 0s 991us/step - loss: 0.5626 Epoch 26/150 153/153 [==============================] - 0s 939us/step - loss: 0.5640 Epoch 27/150 153/153 [==============================] - 0s 958us/step - loss: 0.5603 Epoch 28/150 153/153 [==============================] - 0s 952us/step - loss: 0.5613 Epoch 29/150 153/153 [==============================] - 0s 926us/step - loss: 0.5609 Epoch 30/150 153/153 [==============================] - 0s 945us/step - loss: 0.5600 Epoch 31/150 153/153 [==============================] - 0s 932us/step - loss: 0.5542 Epoch 32/150 153/153 [==============================] - 0s 958us/step - loss: 0.5585 Epoch 33/150 153/153 [==============================] - 0s 978us/step - loss: 0.5568 Epoch 34/150 153/153 [==============================] - 0s 900us/step - loss: 0.5514 Epoch 35/150 153/153 [==============================] - 0s 887us/step - loss: 0.5576 Epoch 36/150 153/153 [==============================] - 0s 841us/step - loss: 0.5559 Epoch 37/150 153/153 [==============================] - 0s 906us/step - loss: 0.5532 Epoch 38/150 153/153 [==============================] - 0s 932us/step - loss: 0.5543 Epoch 39/150 153/153 [==============================] - 0s 900us/step - loss: 0.5531 Epoch 40/150 153/153 [==============================] - 0s 984us/step - loss: 0.5515 Epoch 41/150 153/153 [==============================] - 0s 887us/step - loss: 0.5504 Epoch 42/150 153/153 [==============================] - 0s 880us/step - loss: 0.5518 Epoch 43/150 153/153 [==============================] - 0s 828us/step - loss: 0.5529 Epoch 44/150 153/153 [==============================] - 0s 900us/step - loss: 0.5511 Epoch 45/150 153/153 [==============================] - 0s 900us/step - loss: 0.5529 Epoch 46/150 153/153 [==============================] - 0s 900us/step - loss: 0.5502 Epoch 47/150 153/153 [==============================] - 0s 932us/step - loss: 0.5480 Epoch 48/150 153/153 [==============================] - 0s 958us/step - loss: 0.5491 Epoch 49/150 153/153 [==============================] - 0s 932us/step - loss: 0.5482 Epoch 50/150 153/153 [==============================] - 0s 958us/step - loss: 0.5484 Epoch 51/150 153/153 [==============================] - 0s 939us/step - loss: 0.5456 Epoch 52/150 153/153 [==============================] - 0s 939us/step - loss: 0.5467 Epoch 53/150 153/153 [==============================] - 0s 906us/step - loss: 0.5465 Epoch 54/150 153/153 [==============================] - 0s 887us/step - loss: 0.5467 Epoch 55/150 153/153 [==============================] - 0s 860us/step - loss: 0.5441 Epoch 56/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5449 Epoch 57/150 153/153 [==============================] - 0s 880us/step - loss: 0.5448 Epoch 58/150 153/153 [==============================] - 0s 991us/step - loss: 0.5420 Epoch 59/150 153/153 [==============================] - 0s 926us/step - loss: 0.5444 Epoch 60/150 153/153 [==============================] - 0s 958us/step - loss: 0.5417 Epoch 61/150 153/153 [==============================] - 0s 965us/step - loss: 0.5411 Epoch 62/150 153/153 [==============================] - 0s 913us/step - loss: 0.5433 Epoch 63/150 153/153 [==============================] - 0s 900us/step - loss: 0.5428 Epoch 64/150 153/153 [==============================] - 0s 906us/step - loss: 0.5405 Epoch 65/150 153/153 [==============================] - 0s 847us/step - loss: 0.5418 Epoch 66/150 153/153 [==============================] - 0s 847us/step - loss: 0.5396 Epoch 67/150 153/153 [==============================] - 0s 867us/step - loss: 0.5404 Epoch 68/150 153/153 [==============================] - 0s 873us/step - loss: 0.5412 Epoch 69/150 153/153 [==============================] - 0s 867us/step - loss: 0.5390 Epoch 70/150 153/153 [==============================] - 0s 847us/step - loss: 0.5389 Epoch 71/150 153/153 [==============================] - 0s 841us/step - loss: 0.5414 Epoch 72/150 153/153 [==============================] - 0s 802us/step - loss: 0.5378 Epoch 73/150 153/153 [==============================] - 0s 834us/step - loss: 0.5382 Epoch 74/150 153/153 [==============================] - 0s 821us/step - loss: 0.5385 Epoch 75/150 153/153 [==============================] - 0s 965us/step - loss: 0.5383 Epoch 76/150 153/153 [==============================] - 0s 919us/step - loss: 0.5426 Epoch 77/150 153/153 [==============================] - 0s 939us/step - loss: 0.5376 Epoch 78/150 153/153 [==============================] - 0s 932us/step - loss: 0.5373 Epoch 79/150 153/153 [==============================] - 0s 834us/step - loss: 0.5395 Epoch 80/150 153/153 [==============================] - 0s 841us/step - loss: 0.5362 Epoch 81/150 153/153 [==============================] - 0s 841us/step - loss: 0.5362 Epoch 82/150 153/153 [==============================] - 0s 880us/step - loss: 0.5371 Epoch 83/150 153/153 [==============================] - 0s 900us/step - loss: 0.5352 Epoch 84/150 153/153 [==============================] - 0s 880us/step - loss: 0.5372 Epoch 85/150 153/153 [==============================] - 0s 887us/step - loss: 0.5365 Epoch 86/150 153/153 [==============================] - 0s 906us/step - loss: 0.5315 Epoch 87/150 153/153 [==============================] - 0s 887us/step - loss: 0.5372 Epoch 88/150 153/153 [==============================] - 0s 893us/step - loss: 0.5362 Epoch 89/150 153/153 [==============================] - 0s 971us/step - loss: 0.5386 Epoch 90/150 153/153 [==============================] - 0s 893us/step - loss: 0.5343 Epoch 91/150 153/153 [==============================] - 0s 971us/step - loss: 0.5340 Epoch 92/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5333 Epoch 93/150 153/153 [==============================] - 0s 913us/step - loss: 0.5320 Epoch 94/150 153/153 [==============================] - 0s 913us/step - loss: 0.5343 Epoch 95/150 153/153 [==============================] - 0s 919us/step - loss: 0.5336 Epoch 96/150 153/153 [==============================] - 0s 971us/step - loss: 0.5339 Epoch 97/150 153/153 [==============================] - 0s 978us/step - loss: 0.5350 Epoch 98/150 153/153 [==============================] - 0s 887us/step - loss: 0.5337 Epoch 99/150 153/153 [==============================] - 0s 886us/step - loss: 0.5289 Epoch 100/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5309 Epoch 101/150 153/153 [==============================] - 0s 880us/step - loss: 0.5301 Epoch 102/150 153/153 [==============================] - 0s 926us/step - loss: 0.5304 Epoch 103/150 153/153 [==============================] - 0s 926us/step - loss: 0.5287 Epoch 104/150 153/153 [==============================] - 0s 919us/step - loss: 0.5304 Epoch 105/150 153/153 [==============================] - 0s 873us/step - loss: 0.5326 Epoch 106/150 153/153 [==============================] - 0s 887us/step - loss: 0.5294 Epoch 107/150 153/153 [==============================] - 0s 913us/step - loss: 0.5294 Epoch 108/150 153/153 [==============================] - 0s 913us/step - loss: 0.5296 Epoch 109/150 153/153 [==============================] - 0s 958us/step - loss: 0.5272 Epoch 110/150 153/153 [==============================] - 0s 919us/step - loss: 0.5301 Epoch 111/150 153/153 [==============================] - 0s 939us/step - loss: 0.5277 Epoch 112/150 153/153 [==============================] - 0s 873us/step - loss: 0.5284 Epoch 113/150 153/153 [==============================] - 0s 906us/step - loss: 0.5308 Epoch 114/150 153/153 [==============================] - 0s 978us/step - loss: 0.5273 Epoch 115/150 153/153 [==============================] - 0s 828us/step - loss: 0.5299 Epoch 116/150 153/153 [==============================] - 0s 867us/step - loss: 0.5285 Epoch 117/150 153/153 [==============================] - 0s 841us/step - loss: 0.5304 Epoch 118/150 153/153 [==============================] - 0s 926us/step - loss: 0.5271 Epoch 119/150 153/153 [==============================] - 0s 913us/step - loss: 0.5285 Epoch 120/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5265 Epoch 121/150 153/153 [==============================] - 0s 932us/step - loss: 0.5248 Epoch 122/150 153/153 [==============================] - 0s 893us/step - loss: 0.5285 Epoch 123/150 153/153 [==============================] - 0s 880us/step - loss: 0.5264 Epoch 124/150 153/153 [==============================] - 0s 873us/step - loss: 0.5256 Epoch 125/150 153/153 [==============================] - 0s 834us/step - loss: 0.5268 Epoch 126/150 153/153 [==============================] - 0s 880us/step - loss: 0.5242 Epoch 127/150 153/153 [==============================] - 0s 867us/step - loss: 0.5281 Epoch 128/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5203 Epoch 129/150 153/153 [==============================] - 0s 991us/step - loss: 0.5283 Epoch 130/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5218 Epoch 131/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5287 Epoch 132/150 153/153 [==============================] - 0s 899us/step - loss: 0.5242 Epoch 133/150 153/153 [==============================] - 0s 887us/step - loss: 0.5247 Epoch 134/150 153/153 [==============================] - 0s 860us/step - loss: 0.5229 Epoch 135/150 153/153 [==============================] - 0s 873us/step - loss: 0.5238 Epoch 136/150 153/153 [==============================] - 0s 893us/step - loss: 0.5236 Epoch 137/150 153/153 [==============================] - 0s 906us/step - loss: 0.5248 Epoch 138/150 153/153 [==============================] - 0s 841us/step - loss: 0.5227 Epoch 139/150 153/153 [==============================] - 0s 893us/step - loss: 0.5202 Epoch 140/150 153/153 [==============================] - 0s 847us/step - loss: 0.5227 Epoch 141/150 153/153 [==============================] - 0s 971us/step - loss: 0.5191 Epoch 142/150 153/153 [==============================] - 0s 873us/step - loss: 0.5214 Epoch 143/150 153/153 [==============================] - 0s 880us/step - loss: 0.5251 Epoch 144/150 153/153 [==============================] - 0s 834us/step - loss: 0.5203 Epoch 145/150 153/153 [==============================] - 0s 834us/step - loss: 0.5202 Epoch 146/150 153/153 [==============================] - 0s 841us/step - loss: 0.5226 Epoch 147/150 153/153 [==============================] - 0s 782us/step - loss: 0.5228 Epoch 148/150 153/153 [==============================] - 0s 802us/step - loss: 0.5206 Epoch 149/150 153/153 [==============================] - 0s 854us/step - loss: 0.5195 Epoch 150/150 153/153 [==============================] - 0s 867us/step - loss: 0.5242 ###################################################################### Accuracy: 71.31442219066403 Epoch 1/10 76/76 [==============================] - 0s 1ms/step - loss: 1.0110 Epoch 2/10 76/76 [==============================] - 0s 840us/step - loss: 0.9163 Epoch 3/10 76/76 [==============================] - 0s 892us/step - loss: 0.7111 Epoch 4/10 76/76 [==============================] - 0s 919us/step - loss: 0.6418 Epoch 5/10 76/76 [==============================] - 0s 866us/step - loss: 0.6252 Epoch 6/10 76/76 [==============================] - 0s 787us/step - loss: 0.6174 Epoch 7/10 76/76 [==============================] - 0s 853us/step - loss: 0.6117 Epoch 8/10 76/76 [==============================] - 0s 866us/step - loss: 0.6021 Epoch 9/10 76/76 [==============================] - 0s 827us/step - loss: 0.5987 Epoch 10/10 76/76 [==============================] - 0s 919us/step - loss: 0.5935 ###################################################################### Accuracy: 68.81189972557645 Epoch 1/10 77/77 [==============================] - 0s 1ms/step - loss: 0.9787 Epoch 2/10 77/77 [==============================] - 0s 948us/step - loss: 0.8962 Epoch 3/10 77/77 [==============================] - 0s 933us/step - loss: 0.7499 Epoch 4/10 77/77 [==============================] - 0s 829us/step - loss: 0.6779 Epoch 5/10 77/77 [==============================] - 0s 829us/step - loss: 0.6509 Epoch 6/10 77/77 [==============================] - 0s 881us/step - loss: 0.6429 Epoch 7/10 77/77 [==============================] - 0s 881us/step - loss: 0.6386 Epoch 8/10 77/77 [==============================] - 0s 894us/step - loss: 0.6349 Epoch 9/10 77/77 [==============================] - 0s 894us/step - loss: 0.6316 Epoch 10/10 77/77 [==============================] - 0s 946us/step - loss: 0.6271 ###################################################################### Accuracy: 76.08403117128022 Epoch 1/10 1/77 [..............................] - ETA: 0s - loss: 0.3550WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0156s). Check your callbacks. 77/77 [==============================] - 0s 1ms/step - loss: 0.9713 Epoch 2/10 77/77 [==============================] - 0s 946us/step - loss: 0.8974 Epoch 3/10 77/77 [==============================] - 0s 881us/step - loss: 0.7530 Epoch 4/10 77/77 [==============================] - 0s 868us/step - loss: 0.6622 Epoch 5/10 77/77 [==============================] - 0s 920us/step - loss: 0.6280 Epoch 6/10 77/77 [==============================] - 0s 868us/step - loss: 0.6167 Epoch 7/10 77/77 [==============================] - 0s 894us/step - loss: 0.6108 Epoch 8/10 77/77 [==============================] - 0s 907us/step - loss: 0.6042 Epoch 9/10 77/77 [==============================] - 0s 933us/step - loss: 0.6013 Epoch 10/10 77/77 [==============================] - 0s 920us/step - loss: 0.5983 ###################################################################### Accuracy: 91.16863869808786 Epoch 1/10 77/77 [==============================] - 0s 1ms/step - loss: 1.0138 Epoch 2/10 77/77 [==============================] - 0s 933us/step - loss: 0.9470 Epoch 3/10 77/77 [==============================] - 0s 894us/step - loss: 0.7713 Epoch 4/10 77/77 [==============================] - 0s 946us/step - loss: 0.6692 Epoch 5/10 77/77 [==============================] - 0s 894us/step - loss: 0.6565 Epoch 6/10 77/77 [==============================] - 0s 946us/step - loss: 0.6498 Epoch 7/10 77/77 [==============================] - 0s 946us/step - loss: 0.6476 Epoch 8/10 77/77 [==============================] - 0s 920us/step - loss: 0.6434 Epoch 9/10 77/77 [==============================] - 0s 907us/step - loss: 0.6418 Epoch 10/10 77/77 [==============================] - 0s 920us/step - loss: 0.6397 ###################################################################### Accuracy: 74.18388921523957 Epoch 1/10 77/77 [==============================] - 0s 946us/step - loss: 0.9953 Epoch 2/10 77/77 [==============================] - 0s 958us/step - loss: 0.9062 Epoch 3/10 77/77 [==============================] - 0s 971us/step - loss: 0.7279 Epoch 4/10 77/77 [==============================] - 0s 933us/step - loss: 0.6509 Epoch 5/10 77/77 [==============================] - 0s 920us/step - loss: 0.6387 Epoch 6/10 77/77 [==============================] - 0s 894us/step - loss: 0.6334 Epoch 7/10 77/77 [==============================] - 0s 868us/step - loss: 0.6286 Epoch 8/10 77/77 [==============================] - 0s 842us/step - loss: 0.6249 Epoch 9/10 77/77 [==============================] - 0s 855us/step - loss: 0.6205 Epoch 10/10 77/77 [==============================] - 0s 881us/step - loss: 0.6166 ###################################################################### Accuracy: 74.92382913634657 Epoch 1/20 76/76 [==============================] - 0s 881us/step - loss: 1.0164 Epoch 2/20 76/76 [==============================] - 0s 787us/step - loss: 0.9648 Epoch 3/20 76/76 [==============================] - 0s 748us/step - loss: 0.7514 Epoch 4/20 76/76 [==============================] - 0s 761us/step - loss: 0.6494 Epoch 5/20 76/76 [==============================] - 0s 696us/step - loss: 0.6250 Epoch 6/20 76/76 [==============================] - 0s 748us/step - loss: 0.6172 Epoch 7/20 76/76 [==============================] - 0s 543us/step - loss: 0.6088 Epoch 8/20 76/76 [==============================] - 0s 617us/step - loss: 0.6021 Epoch 9/20 76/76 [==============================] - 0s 949us/step - loss: 0.5962 Epoch 10/20 76/76 [==============================] - 0s 1ms/step - loss: 0.5909 Epoch 11/20 76/76 [==============================] - 0s 932us/step - loss: 0.5882 Epoch 12/20 76/76 [==============================] - 0s 919us/step - loss: 0.5857 Epoch 13/20 76/76 [==============================] - 0s 1ms/step - loss: 0.5791 Epoch 14/20 76/76 [==============================] - 0s 945us/step - loss: 0.5767 Epoch 15/20 76/76 [==============================] - 0s 853us/step - loss: 0.5795 Epoch 16/20 76/76 [==============================] - 0s 879us/step - loss: 0.5747 Epoch 17/20 76/76 [==============================] - 0s 1ms/step - loss: 0.5733 Epoch 18/20 76/76 [==============================] - 0s 866us/step - loss: 0.5688 Epoch 19/20 76/76 [==============================] - 0s 892us/step - loss: 0.5689 Epoch 20/20 76/76 [==============================] - 0s 787us/step - loss: 0.5680 ###################################################################### Accuracy: 69.70600848837057 Epoch 1/20 77/77 [==============================] - 0s 939us/step - loss: 0.9816 Epoch 2/20 77/77 [==============================] - 0s 803us/step - loss: 0.9184 Epoch 3/20 77/77 [==============================] - 0s 868us/step - loss: 0.7758 Epoch 4/20 77/77 [==============================] - 0s 842us/step - loss: 0.6716 Epoch 5/20 77/77 [==============================] - 0s 907us/step - loss: 0.6430 Epoch 6/20 77/77 [==============================] - 0s 842us/step - loss: 0.6399 Epoch 7/20 77/77 [==============================] - 0s 920us/step - loss: 0.6300 Epoch 8/20 77/77 [==============================] - 0s 868us/step - loss: 0.6227 Epoch 9/20 77/77 [==============================] - 0s 894us/step - loss: 0.6168 Epoch 10/20 77/77 [==============================] - 0s 997us/step - loss: 0.6156 Epoch 11/20 77/77 [==============================] - 0s 958us/step - loss: 0.6090 Epoch 12/20 77/77 [==============================] - 0s 958us/step - loss: 0.6079 Epoch 13/20 77/77 [==============================] - 0s 920us/step - loss: 0.6043 Epoch 14/20 77/77 [==============================] - 0s 881us/step - loss: 0.5992 Epoch 15/20 77/77 [==============================] - 0s 933us/step - loss: 0.5978 Epoch 16/20 77/77 [==============================] - 0s 1ms/step - loss: 0.5929 Epoch 17/20 77/77 [==============================] - 0s 958us/step - loss: 0.5910 Epoch 18/20 77/77 [==============================] - 0s 971us/step - loss: 0.5880 Epoch 19/20 77/77 [==============================] - 0s 894us/step - loss: 0.5873 Epoch 20/20 77/77 [==============================] - 0s 958us/step - loss: 0.5854 ###################################################################### Accuracy: 75.05666243513495 Epoch 1/20 77/77 [==============================] - 0s 900us/step - loss: 0.9736 Epoch 2/20 77/77 [==============================] - 0s 958us/step - loss: 0.9211 Epoch 3/20 77/77 [==============================] - 0s 881us/step - loss: 0.7593 Epoch 4/20 77/77 [==============================] - 0s 984us/step - loss: 0.6465 Epoch 5/20 77/77 [==============================] - 0s 933us/step - loss: 0.6252 Epoch 6/20 77/77 [==============================] - 0s 933us/step - loss: 0.6182 Epoch 7/20 77/77 [==============================] - 0s 1ms/step - loss: 0.6120 Epoch 8/20 77/77 [==============================] - 0s 984us/step - loss: 0.6087 Epoch 9/20 77/77 [==============================] - 0s 855us/step - loss: 0.6043 Epoch 10/20 77/77 [==============================] - 0s 933us/step - loss: 0.5986 Epoch 11/20 77/77 [==============================] - 0s 984us/step - loss: 0.5969 Epoch 12/20 77/77 [==============================] - 0s 894us/step - loss: 0.5920 Epoch 13/20 77/77 [==============================] - 0s 920us/step - loss: 0.5904 Epoch 14/20 77/77 [==============================] - 0s 894us/step - loss: 0.5892 Epoch 15/20 77/77 [==============================] - 0s 933us/step - loss: 0.5851 Epoch 16/20 77/77 [==============================] - 0s 971us/step - loss: 0.5828 Epoch 17/20 77/77 [==============================] - 0s 971us/step - loss: 0.5790 Epoch 18/20 77/77 [==============================] - 0s 933us/step - loss: 0.5773 Epoch 19/20 77/77 [==============================] - 0s 946us/step - loss: 0.5764 Epoch 20/20 77/77 [==============================] - 0s 868us/step - loss: 0.5732 ###################################################################### Accuracy: 90.2360887780689 Epoch 1/20 77/77 [==============================] - 0s 933us/step - loss: 1.0148 Epoch 2/20 77/77 [==============================] - 0s 842us/step - loss: 0.9575 Epoch 3/20 77/77 [==============================] - 0s 907us/step - loss: 0.7940 Epoch 4/20 77/77 [==============================] - 0s 842us/step - loss: 0.6842 Epoch 5/20 77/77 [==============================] - 0s 855us/step - loss: 0.6606 Epoch 6/20 77/77 [==============================] - 0s 920us/step - loss: 0.6539 Epoch 7/20 77/77 [==============================] - 0s 907us/step - loss: 0.6488 Epoch 8/20 77/77 [==============================] - 0s 907us/step - loss: 0.6460 Epoch 9/20 77/77 [==============================] - 0s 855us/step - loss: 0.6413 Epoch 10/20 77/77 [==============================] - 0s 868us/step - loss: 0.6390 Epoch 11/20 77/77 [==============================] - 0s 920us/step - loss: 0.6376 Epoch 12/20 77/77 [==============================] - 0s 894us/step - loss: 0.6336 Epoch 13/20 77/77 [==============================] - 0s 933us/step - loss: 0.6314 Epoch 14/20 77/77 [==============================] - 0s 855us/step - loss: 0.6279 Epoch 15/20 77/77 [==============================] - 0s 907us/step - loss: 0.6249 Epoch 16/20 77/77 [==============================] - 0s 894us/step - loss: 0.6232 Epoch 17/20 77/77 [==============================] - 0s 816us/step - loss: 0.6198 Epoch 18/20 77/77 [==============================] - 0s 894us/step - loss: 0.6172 Epoch 19/20 77/77 [==============================] - 0s 881us/step - loss: 0.6169 Epoch 20/20 77/77 [==============================] - 0s 933us/step - loss: 0.6145 ###################################################################### Accuracy: 72.23867898352957 Epoch 1/20 77/77 [==============================] - 0s 1ms/step - loss: 0.9999 Epoch 2/20 77/77 [==============================] - 0s 933us/step - loss: 0.9415 Epoch 3/20 77/77 [==============================] - 0s 881us/step - loss: 0.7725 Epoch 4/20 77/77 [==============================] - 0s 829us/step - loss: 0.6678 Epoch 5/20 77/77 [==============================] - 0s 868us/step - loss: 0.6409 Epoch 6/20 77/77 [==============================] - 0s 868us/step - loss: 0.6346 Epoch 7/20 77/77 [==============================] - 0s 790us/step - loss: 0.6283 Epoch 8/20 77/77 [==============================] - 0s 881us/step - loss: 0.6238 Epoch 9/20 77/77 [==============================] - 0s 933us/step - loss: 0.6176 Epoch 10/20 77/77 [==============================] - 0s 816us/step - loss: 0.6158 Epoch 11/20 77/77 [==============================] - 0s 907us/step - loss: 0.6087 Epoch 12/20 77/77 [==============================] - 0s 933us/step - loss: 0.6045 Epoch 13/20 77/77 [==============================] - 0s 920us/step - loss: 0.6005 Epoch 14/20 77/77 [==============================] - 0s 946us/step - loss: 0.5977 Epoch 15/20 77/77 [==============================] - 0s 958us/step - loss: 0.5975 Epoch 16/20 77/77 [==============================] - 0s 920us/step - loss: 0.5928 Epoch 17/20 77/77 [==============================] - 0s 958us/step - loss: 0.5915 Epoch 18/20 77/77 [==============================] - 0s 842us/step - loss: 0.5887 Epoch 19/20 77/77 [==============================] - 0s 971us/step - loss: 0.5868 Epoch 20/20 77/77 [==============================] - 0s 868us/step - loss: 0.5843 ###################################################################### Accuracy: 72.27737147435909 Epoch 1/50 76/76 [==============================] - 0s 853us/step - loss: 1.0168 Epoch 2/50 76/76 [==============================] - 0s 840us/step - loss: 0.9542 Epoch 3/50 76/76 [==============================] - 0s 997us/step - loss: 0.7461 Epoch 4/50 76/76 [==============================] - 0s 892us/step - loss: 0.6487 Epoch 5/50 76/76 [==============================] - 0s 1ms/step - loss: 0.6308 Epoch 6/50 76/76 [==============================] - 0s 853us/step - loss: 0.6224 Epoch 7/50 76/76 [==============================] - 0s 905us/step - loss: 0.6154 Epoch 8/50 76/76 [==============================] - 0s 827us/step - loss: 0.6105 Epoch 9/50 76/76 [==============================] - 0s 774us/step - loss: 0.6057 Epoch 10/50 76/76 [==============================] - 0s 774us/step - loss: 0.6024 Epoch 11/50 76/76 [==============================] - 0s 761us/step - loss: 0.5970 Epoch 12/50 76/76 [==============================] - 0s 814us/step - loss: 0.5928 Epoch 13/50 76/76 [==============================] - 0s 800us/step - loss: 0.5894 Epoch 14/50 76/76 [==============================] - 0s 827us/step - loss: 0.5848 Epoch 15/50 76/76 [==============================] - 0s 787us/step - loss: 0.5820 Epoch 16/50 76/76 [==============================] - 0s 827us/step - loss: 0.5805 Epoch 17/50 76/76 [==============================] - 0s 879us/step - loss: 0.5787 Epoch 18/50 76/76 [==============================] - 0s 892us/step - loss: 0.5752 Epoch 19/50 76/76 [==============================] - 0s 905us/step - loss: 0.5734 Epoch 20/50 76/76 [==============================] - 0s 853us/step - loss: 0.5703 Epoch 21/50 76/76 [==============================] - 0s 892us/step - loss: 0.5657 Epoch 22/50 76/76 [==============================] - 0s 787us/step - loss: 0.5660 Epoch 23/50 76/76 [==============================] - 0s 827us/step - loss: 0.5623 Epoch 24/50 76/76 [==============================] - 0s 827us/step - loss: 0.5621 Epoch 25/50 76/76 [==============================] - 0s 840us/step - loss: 0.5599 Epoch 26/50 76/76 [==============================] - 0s 840us/step - loss: 0.5587 Epoch 27/50 76/76 [==============================] - 0s 827us/step - loss: 0.5581 Epoch 28/50 76/76 [==============================] - 0s 801us/step - loss: 0.5557 Epoch 29/50 76/76 [==============================] - 0s 774us/step - loss: 0.5553 Epoch 30/50 76/76 [==============================] - 0s 814us/step - loss: 0.5516 Epoch 31/50 76/76 [==============================] - 0s 800us/step - loss: 0.5506 Epoch 32/50 76/76 [==============================] - 0s 787us/step - loss: 0.5499 Epoch 33/50 76/76 [==============================] - 0s 800us/step - loss: 0.5504 Epoch 34/50 76/76 [==============================] - 0s 827us/step - loss: 0.5478 Epoch 35/50 76/76 [==============================] - 0s 840us/step - loss: 0.5471 Epoch 36/50 76/76 [==============================] - 0s 945us/step - loss: 0.5470 Epoch 37/50 76/76 [==============================] - 0s 879us/step - loss: 0.5447 Epoch 38/50 76/76 [==============================] - 0s 919us/step - loss: 0.5450 Epoch 39/50 76/76 [==============================] - 0s 853us/step - loss: 0.5435 Epoch 40/50 76/76 [==============================] - 0s 945us/step - loss: 0.5446 Epoch 41/50 76/76 [==============================] - 0s 932us/step - loss: 0.5435 Epoch 42/50 76/76 [==============================] - 0s 866us/step - loss: 0.5411 Epoch 43/50 76/76 [==============================] - 0s 919us/step - loss: 0.5397 Epoch 44/50 76/76 [==============================] - 0s 905us/step - loss: 0.5391 Epoch 45/50 76/76 [==============================] - 0s 1ms/step - loss: 0.5411 Epoch 46/50 76/76 [==============================] - 0s 853us/step - loss: 0.5394 Epoch 47/50 76/76 [==============================] - 0s 866us/step - loss: 0.5381 Epoch 48/50 76/76 [==============================] - 0s 892us/step - loss: 0.5360 Epoch 49/50 76/76 [==============================] - 0s 853us/step - loss: 0.5362 Epoch 50/50 76/76 [==============================] - 0s 919us/step - loss: 0.5352 ###################################################################### Accuracy: 74.72172553281005 Epoch 1/50 77/77 [==============================] - 0s 984us/step - loss: 0.9806 Epoch 2/50 77/77 [==============================] - 0s 894us/step - loss: 0.9092 Epoch 3/50 77/77 [==============================] - 0s 920us/step - loss: 0.7763 Epoch 4/50 77/77 [==============================] - 0s 894us/step - loss: 0.7008 Epoch 5/50 77/77 [==============================] - 0s 881us/step - loss: 0.6577 Epoch 6/50 77/77 [==============================] - 0s 958us/step - loss: 0.6412 Epoch 7/50 77/77 [==============================] - 0s 855us/step - loss: 0.6307 Epoch 8/50 77/77 [==============================] - 0s 855us/step - loss: 0.6210 Epoch 9/50 77/77 [==============================] - 0s 881us/step - loss: 0.6171 Epoch 10/50 77/77 [==============================] - 0s 868us/step - loss: 0.6115 Epoch 11/50 77/77 [==============================] - 0s 855us/step - loss: 0.6076 Epoch 12/50 77/77 [==============================] - 0s 881us/step - loss: 0.6023 Epoch 13/50 77/77 [==============================] - 0s 958us/step - loss: 0.5968 Epoch 14/50 77/77 [==============================] - 0s 894us/step - loss: 0.5920 Epoch 15/50 77/77 [==============================] - 0s 907us/step - loss: 0.5894 Epoch 16/50 77/77 [==============================] - 0s 971us/step - loss: 0.5869 Epoch 17/50 77/77 [==============================] - 0s 933us/step - loss: 0.5837 Epoch 18/50 77/77 [==============================] - 0s 958us/step - loss: 0.5809 Epoch 19/50 77/77 [==============================] - 0s 946us/step - loss: 0.5789 Epoch 20/50 77/77 [==============================] - 0s 958us/step - loss: 0.5759 Epoch 21/50 77/77 [==============================] - 0s 945us/step - loss: 0.5757 Epoch 22/50 77/77 [==============================] - 0s 971us/step - loss: 0.5745 Epoch 23/50 77/77 [==============================] - 0s 933us/step - loss: 0.5715 Epoch 24/50 77/77 [==============================] - 0s 946us/step - loss: 0.5711 Epoch 25/50 77/77 [==============================] - 0s 920us/step - loss: 0.5692 Epoch 26/50 77/77 [==============================] - 0s 933us/step - loss: 0.5673 Epoch 27/50 77/77 [==============================] - 0s 958us/step - loss: 0.5659 Epoch 28/50 77/77 [==============================] - 0s 997us/step - loss: 0.5666 Epoch 29/50 77/77 [==============================] - 0s 971us/step - loss: 0.5637 Epoch 30/50 77/77 [==============================] - 0s 971us/step - loss: 0.5641 Epoch 31/50 77/77 [==============================] - 0s 958us/step - loss: 0.5636 Epoch 32/50 77/77 [==============================] - 0s 971us/step - loss: 0.5625 Epoch 33/50 77/77 [==============================] - 0s 933us/step - loss: 0.5620 Epoch 34/50 77/77 [==============================] - 0s 946us/step - loss: 0.5620 Epoch 35/50 77/77 [==============================] - 0s 933us/step - loss: 0.5605 Epoch 36/50 77/77 [==============================] - 0s 907us/step - loss: 0.5606 Epoch 37/50 77/77 [==============================] - 0s 855us/step - loss: 0.5586 Epoch 38/50 77/77 [==============================] - 0s 894us/step - loss: 0.5590 Epoch 39/50 77/77 [==============================] - 0s 920us/step - loss: 0.5560 Epoch 40/50 77/77 [==============================] - 0s 868us/step - loss: 0.5550 Epoch 41/50 77/77 [==============================] - 0s 868us/step - loss: 0.5566 Epoch 42/50 77/77 [==============================] - 0s 894us/step - loss: 0.5569 Epoch 43/50 77/77 [==============================] - 0s 881us/step - loss: 0.5540 Epoch 44/50 77/77 [==============================] - 0s 946us/step - loss: 0.5535 Epoch 45/50 77/77 [==============================] - 0s 959us/step - loss: 0.5508 Epoch 46/50 77/77 [==============================] - 0s 984us/step - loss: 0.5509 Epoch 47/50 77/77 [==============================] - 0s 920us/step - loss: 0.5495 Epoch 48/50 77/77 [==============================] - 0s 1ms/step - loss: 0.5508 Epoch 49/50 77/77 [==============================] - 0s 946us/step - loss: 0.5499 Epoch 50/50 77/77 [==============================] - 0s 920us/step - loss: 0.5497 ###################################################################### Accuracy: 67.44573847289605 Epoch 1/50 77/77 [==============================] - 0s 1ms/step - loss: 0.9683 Epoch 2/50 77/77 [==============================] - 0s 1ms/step - loss: 0.8894 Epoch 3/50 77/77 [==============================] - 0s 958us/step - loss: 0.7211 Epoch 4/50 77/77 [==============================] - 0s 946us/step - loss: 0.6396 Epoch 5/50 77/77 [==============================] - 0s 946us/step - loss: 0.6235 Epoch 6/50 77/77 [==============================] - 0s 881us/step - loss: 0.6168 Epoch 7/50 77/77 [==============================] - 0s 881us/step - loss: 0.6145 Epoch 8/50 77/77 [==============================] - 0s 881us/step - loss: 0.6102 Epoch 9/50 77/77 [==============================] - 0s 984us/step - loss: 0.6054 Epoch 10/50 77/77 [==============================] - 0s 946us/step - loss: 0.6029 Epoch 11/50 77/77 [==============================] - 0s 971us/step - loss: 0.5993 Epoch 12/50 77/77 [==============================] - 0s 881us/step - loss: 0.5965 Epoch 13/50 77/77 [==============================] - 0s 1ms/step - loss: 0.5930 Epoch 14/50 77/77 [==============================] - 0s 933us/step - loss: 0.5898 Epoch 15/50 77/77 [==============================] - 0s 920us/step - loss: 0.5873 Epoch 16/50 77/77 [==============================] - 0s 958us/step - loss: 0.5844 Epoch 17/50 77/77 [==============================] - 0s 997us/step - loss: 0.5825 Epoch 18/50 77/77 [==============================] - 0s 997us/step - loss: 0.5813 Epoch 19/50 77/77 [==============================] - 0s 946us/step - loss: 0.5801 Epoch 20/50 77/77 [==============================] - 0s 920us/step - loss: 0.5765 Epoch 21/50 77/77 [==============================] - 0s 933us/step - loss: 0.5759 Epoch 22/50 77/77 [==============================] - 0s 984us/step - loss: 0.5738 Epoch 23/50 77/77 [==============================] - 0s 958us/step - loss: 0.5706 Epoch 24/50 77/77 [==============================] - 0s 958us/step - loss: 0.5714 Epoch 25/50 77/77 [==============================] - 0s 958us/step - loss: 0.5681 Epoch 26/50 77/77 [==============================] - 0s 933us/step - loss: 0.5673 Epoch 27/50 77/77 [==============================] - 0s 894us/step - loss: 0.5668 Epoch 28/50 77/77 [==============================] - 0s 907us/step - loss: 0.5659 Epoch 29/50 77/77 [==============================] - 0s 946us/step - loss: 0.5615 Epoch 30/50 77/77 [==============================] - 0s 946us/step - loss: 0.5606 Epoch 31/50 77/77 [==============================] - 0s 920us/step - loss: 0.5615 Epoch 32/50 77/77 [==============================] - 0s 920us/step - loss: 0.5593 Epoch 33/50 77/77 [==============================] - 0s 920us/step - loss: 0.5576 Epoch 34/50 77/77 [==============================] - 0s 907us/step - loss: 0.5576 Epoch 35/50 77/77 [==============================] - 0s 958us/step - loss: 0.5556 Epoch 36/50 77/77 [==============================] - 0s 997us/step - loss: 0.5541 Epoch 37/50 77/77 [==============================] - 0s 920us/step - loss: 0.5547 Epoch 38/50 77/77 [==============================] - 0s 894us/step - loss: 0.5525 Epoch 39/50 77/77 [==============================] - 0s 868us/step - loss: 0.5534 Epoch 40/50 77/77 [==============================] - 0s 920us/step - loss: 0.5523 Epoch 41/50 77/77 [==============================] - 0s 946us/step - loss: 0.5511 Epoch 42/50 77/77 [==============================] - 0s 933us/step - loss: 0.5519 Epoch 43/50 77/77 [==============================] - 0s 894us/step - loss: 0.5483 Epoch 44/50 77/77 [==============================] - 0s 946us/step - loss: 0.5484 Epoch 45/50 77/77 [==============================] - 0s 933us/step - loss: 0.5471 Epoch 46/50 77/77 [==============================] - 0s 958us/step - loss: 0.5471 Epoch 47/50 77/77 [==============================] - 0s 933us/step - loss: 0.5459 Epoch 48/50 77/77 [==============================] - 0s 971us/step - loss: 0.5476 Epoch 49/50 77/77 [==============================] - 0s 933us/step - loss: 0.5459 Epoch 50/50 77/77 [==============================] - 0s 984us/step - loss: 0.5449 ###################################################################### Accuracy: 88.1244352664961 Epoch 1/50 77/77 [==============================] - 0s 958us/step - loss: 1.0130 Epoch 2/50 77/77 [==============================] - 0s 907us/step - loss: 0.9536 Epoch 3/50 77/77 [==============================] - 0s 868us/step - loss: 0.8204 Epoch 4/50 77/77 [==============================] - 0s 868us/step - loss: 0.7204 Epoch 5/50 77/77 [==============================] - 0s 920us/step - loss: 0.6651 Epoch 6/50 77/77 [==============================] - 0s 894us/step - loss: 0.6429 Epoch 7/50 77/77 [==============================] - 0s 920us/step - loss: 0.6340 Epoch 8/50 77/77 [==============================] - 0s 907us/step - loss: 0.6272 Epoch 9/50 77/77 [==============================] - 0s 894us/step - loss: 0.6225 Epoch 10/50 77/77 [==============================] - 0s 894us/step - loss: 0.6181 Epoch 11/50 77/77 [==============================] - 0s 894us/step - loss: 0.6158 Epoch 12/50 77/77 [==============================] - 0s 933us/step - loss: 0.6138 Epoch 13/50 77/77 [==============================] - 0s 868us/step - loss: 0.6098 Epoch 14/50 77/77 [==============================] - 0s 842us/step - loss: 0.6109 Epoch 15/50 77/77 [==============================] - 0s 855us/step - loss: 0.6059 Epoch 16/50 77/77 [==============================] - 0s 881us/step - loss: 0.6045 Epoch 17/50 77/77 [==============================] - 0s 920us/step - loss: 0.6035 Epoch 18/50 77/77 [==============================] - 0s 920us/step - loss: 0.6050 Epoch 19/50 77/77 [==============================] - 0s 920us/step - loss: 0.6014 Epoch 20/50 77/77 [==============================] - 0s 920us/step - loss: 0.6022 Epoch 21/50 77/77 [==============================] - 0s 907us/step - loss: 0.5989 Epoch 22/50 77/77 [==============================] - 0s 946us/step - loss: 0.5972 Epoch 23/50 77/77 [==============================] - 0s 946us/step - loss: 0.5972 Epoch 24/50 77/77 [==============================] - 0s 920us/step - loss: 0.5957 Epoch 25/50 77/77 [==============================] - 0s 946us/step - loss: 0.5937 Epoch 26/50 77/77 [==============================] - 0s 894us/step - loss: 0.5921 Epoch 27/50 77/77 [==============================] - 0s 894us/step - loss: 0.5931 Epoch 28/50 77/77 [==============================] - 0s 946us/step - loss: 0.5909 Epoch 29/50 77/77 [==============================] - 0s 907us/step - loss: 0.5910 Epoch 30/50 77/77 [==============================] - 0s 894us/step - loss: 0.5888 Epoch 31/50 77/77 [==============================] - 0s 894us/step - loss: 0.5877 Epoch 32/50 77/77 [==============================] - 0s 894us/step - loss: 0.5890 Epoch 33/50 77/77 [==============================] - 0s 933us/step - loss: 0.5867 Epoch 34/50 77/77 [==============================] - 0s 920us/step - loss: 0.5861 Epoch 35/50 77/77 [==============================] - 0s 881us/step - loss: 0.5865 Epoch 36/50 77/77 [==============================] - 0s 894us/step - loss: 0.5837 Epoch 37/50 77/77 [==============================] - 0s 907us/step - loss: 0.5833 Epoch 38/50 77/77 [==============================] - 0s 894us/step - loss: 0.5830 Epoch 39/50 77/77 [==============================] - 0s 920us/step - loss: 0.5820 Epoch 40/50 77/77 [==============================] - 0s 946us/step - loss: 0.5815 Epoch 41/50 77/77 [==============================] - 0s 945us/step - loss: 0.5832 Epoch 42/50 77/77 [==============================] - 0s 933us/step - loss: 0.5783 Epoch 43/50 77/77 [==============================] - 0s 958us/step - loss: 0.5765 Epoch 44/50 77/77 [==============================] - 0s 933us/step - loss: 0.5772 Epoch 45/50 77/77 [==============================] - 0s 920us/step - loss: 0.5757 Epoch 46/50 77/77 [==============================] - 0s 933us/step - loss: 0.5752 Epoch 47/50 77/77 [==============================] - 0s 971us/step - loss: 0.5732 Epoch 48/50 77/77 [==============================] - 0s 946us/step - loss: 0.5732 Epoch 49/50 77/77 [==============================] - 0s 946us/step - loss: 0.5726 Epoch 50/50 77/77 [==============================] - 0s 971us/step - loss: 0.5719 ###################################################################### Accuracy: 72.26567685819886 Epoch 1/50 77/77 [==============================] - 0s 853us/step - loss: 0.9966 Epoch 2/50 77/77 [==============================] - 0s 868us/step - loss: 0.9167 Epoch 3/50 77/77 [==============================] - 0s 868us/step - loss: 0.7934 Epoch 4/50 77/77 [==============================] - 0s 855us/step - loss: 0.7585 Epoch 5/50 77/77 [==============================] - 0s 855us/step - loss: 0.7372 Epoch 6/50 77/77 [==============================] - 0s 868us/step - loss: 0.7188 Epoch 7/50 77/77 [==============================] - 0s 842us/step - loss: 0.7031 Epoch 8/50 77/77 [==============================] - 0s 842us/step - loss: 0.6924 Epoch 9/50 77/77 [==============================] - 0s 842us/step - loss: 0.6818 Epoch 10/50 77/77 [==============================] - 0s 855us/step - loss: 0.6735 Epoch 11/50 77/77 [==============================] - 0s 881us/step - loss: 0.6788 Epoch 12/50 77/77 [==============================] - 0s 920us/step - loss: 0.6608 Epoch 13/50 77/77 [==============================] - 0s 945us/step - loss: 0.6561 Epoch 14/50 77/77 [==============================] - 0s 919us/step - loss: 0.6495 Epoch 15/50 77/77 [==============================] - 0s 984us/step - loss: 0.6478 Epoch 16/50 77/77 [==============================] - 0s 958us/step - loss: 0.6431 Epoch 17/50 77/77 [==============================] - 0s 946us/step - loss: 0.6404 Epoch 18/50 77/77 [==============================] - 0s 984us/step - loss: 0.6368 Epoch 19/50 77/77 [==============================] - 0s 920us/step - loss: 0.6349 Epoch 20/50 77/77 [==============================] - 0s 933us/step - loss: 0.6316 Epoch 21/50 77/77 [==============================] - 0s 958us/step - loss: 0.6285 Epoch 22/50 77/77 [==============================] - 0s 881us/step - loss: 0.6254 Epoch 23/50 77/77 [==============================] - 0s 920us/step - loss: 0.6240 Epoch 24/50 77/77 [==============================] - 0s 881us/step - loss: 0.6201 Epoch 25/50 77/77 [==============================] - 0s 816us/step - loss: 0.6217 Epoch 26/50 77/77 [==============================] - 0s 855us/step - loss: 0.6157 Epoch 27/50 77/77 [==============================] - 0s 829us/step - loss: 0.6148 Epoch 28/50 77/77 [==============================] - 0s 855us/step - loss: 0.6154 Epoch 29/50 77/77 [==============================] - 0s 829us/step - loss: 0.6121 Epoch 30/50 77/77 [==============================] - 0s 894us/step - loss: 0.6106 Epoch 31/50 77/77 [==============================] - 0s 933us/step - loss: 0.6123 Epoch 32/50 77/77 [==============================] - 0s 920us/step - loss: 0.6081 Epoch 33/50 77/77 [==============================] - 0s 946us/step - loss: 0.6057 Epoch 34/50 77/77 [==============================] - 0s 894us/step - loss: 0.6063 Epoch 35/50 77/77 [==============================] - 0s 946us/step - loss: 0.6027 Epoch 36/50 77/77 [==============================] - 0s 907us/step - loss: 0.6022 Epoch 37/50 77/77 [==============================] - 0s 958us/step - loss: 0.6013 Epoch 38/50 77/77 [==============================] - 0s 933us/step - loss: 0.5992 Epoch 39/50 77/77 [==============================] - 0s 907us/step - loss: 0.6052 Epoch 40/50 77/77 [==============================] - 0s 920us/step - loss: 0.5979 Epoch 41/50 77/77 [==============================] - 0s 920us/step - loss: 0.6001 Epoch 42/50 77/77 [==============================] - 0s 855us/step - loss: 0.5935 Epoch 43/50 77/77 [==============================] - 0s 920us/step - loss: 0.5929 Epoch 44/50 77/77 [==============================] - 0s 933us/step - loss: 0.5930 Epoch 45/50 77/77 [==============================] - 0s 946us/step - loss: 0.5889 Epoch 46/50 77/77 [==============================] - 0s 958us/step - loss: 0.5894 Epoch 47/50 77/77 [==============================] - 0s 933us/step - loss: 0.5852 Epoch 48/50 77/77 [==============================] - 0s 946us/step - loss: 0.5851 Epoch 49/50 77/77 [==============================] - 0s 958us/step - loss: 0.5841 Epoch 50/50 77/77 [==============================] - 0s 933us/step - loss: 0.5856 ###################################################################### Accuracy: 72.43816972398032 Epoch 1/100 76/76 [==============================] - 0s 980us/step - loss: 1.0151 Epoch 2/100 76/76 [==============================] - 0s 859us/step - loss: 0.9362 Epoch 3/100 76/76 [==============================] - 0s 879us/step - loss: 0.7356 Epoch 4/100 76/76 [==============================] - 0s 866us/step - loss: 0.6499 Epoch 5/100 76/76 [==============================] - 0s 840us/step - loss: 0.6336 Epoch 6/100 76/76 [==============================] - 0s 800us/step - loss: 0.6251 Epoch 7/100 76/76 [==============================] - 0s 853us/step - loss: 0.6182 Epoch 8/100 76/76 [==============================] - 0s 787us/step - loss: 0.6142 Epoch 9/100 76/76 [==============================] - 0s 814us/step - loss: 0.6080 Epoch 10/100 76/76 [==============================] - 0s 827us/step - loss: 0.6043 Epoch 11/100 76/76 [==============================] - 0s 827us/step - loss: 0.5980 Epoch 12/100 76/76 [==============================] - 0s 814us/step - loss: 0.5950 Epoch 13/100 76/76 [==============================] - 0s 800us/step - loss: 0.5937 Epoch 14/100 76/76 [==============================] - 0s 853us/step - loss: 0.5907 Epoch 15/100 76/76 [==============================] - 0s 879us/step - loss: 0.5878 Epoch 16/100 76/76 [==============================] - 0s 853us/step - loss: 0.5836 Epoch 17/100 76/76 [==============================] - 0s 840us/step - loss: 0.5824 Epoch 18/100 76/76 [==============================] - 0s 919us/step - loss: 0.5795 Epoch 19/100 76/76 [==============================] - 0s 905us/step - loss: 0.5759 Epoch 20/100 76/76 [==============================] - 0s 840us/step - loss: 0.5742 Epoch 21/100 76/76 [==============================] - 0s 892us/step - loss: 0.5721 Epoch 22/100 76/76 [==============================] - 0s 892us/step - loss: 0.5703 Epoch 23/100 76/76 [==============================] - 0s 892us/step - loss: 0.5686 Epoch 24/100 76/76 [==============================] - 0s 853us/step - loss: 0.5672 Epoch 25/100 76/76 [==============================] - 0s 853us/step - loss: 0.5680 Epoch 26/100 76/76 [==============================] - 0s 866us/step - loss: 0.5660 Epoch 27/100 76/76 [==============================] - 0s 840us/step - loss: 0.5658 Epoch 28/100 76/76 [==============================] - 0s 814us/step - loss: 0.5619 Epoch 29/100 76/76 [==============================] - 0s 853us/step - loss: 0.5621 Epoch 30/100 76/76 [==============================] - 0s 827us/step - loss: 0.5606 Epoch 31/100 76/76 [==============================] - 0s 1ms/step - loss: 0.5597 Epoch 32/100 76/76 [==============================] - 0s 814us/step - loss: 0.5586 Epoch 33/100 76/76 [==============================] - 0s 814us/step - loss: 0.5575 Epoch 34/100 76/76 [==============================] - 0s 905us/step - loss: 0.5554 Epoch 35/100 76/76 [==============================] - 0s 945us/step - loss: 0.5560 Epoch 36/100 76/76 [==============================] - 0s 932us/step - loss: 0.5555 Epoch 37/100 76/76 [==============================] - 0s 892us/step - loss: 0.5555 Epoch 38/100 76/76 [==============================] - 0s 892us/step - loss: 0.5533 Epoch 39/100 76/76 [==============================] - 0s 892us/step - loss: 0.5534 Epoch 40/100 76/76 [==============================] - 0s 866us/step - loss: 0.5527 Epoch 41/100 76/76 [==============================] - 0s 866us/step - loss: 0.5543 Epoch 42/100 76/76 [==============================] - 0s 840us/step - loss: 0.5517 Epoch 43/100 76/76 [==============================] - 0s 866us/step - loss: 0.5520 Epoch 44/100 76/76 [==============================] - 0s 879us/step - loss: 0.5500 Epoch 45/100 76/76 [==============================] - 0s 840us/step - loss: 0.5497 Epoch 46/100 76/76 [==============================] - 0s 853us/step - loss: 0.5491 Epoch 47/100 76/76 [==============================] - 0s 814us/step - loss: 0.5476 Epoch 48/100 76/76 [==============================] - 0s 840us/step - loss: 0.5487 Epoch 49/100 76/76 [==============================] - 0s 801us/step - loss: 0.5481 Epoch 50/100 76/76 [==============================] - 0s 827us/step - loss: 0.5464 Epoch 51/100 76/76 [==============================] - 0s 827us/step - loss: 0.5469 Epoch 52/100 76/76 [==============================] - 0s 787us/step - loss: 0.5452 Epoch 53/100 76/76 [==============================] - 0s 840us/step - loss: 0.5454 Epoch 54/100 76/76 [==============================] - 0s 814us/step - loss: 0.5449 Epoch 55/100 76/76 [==============================] - 0s 800us/step - loss: 0.5434 Epoch 56/100 76/76 [==============================] - 0s 787us/step - loss: 0.5445 Epoch 57/100 76/76 [==============================] - 0s 827us/step - loss: 0.5441 Epoch 58/100 76/76 [==============================] - 0s 840us/step - loss: 0.5436 Epoch 59/100 76/76 [==============================] - 0s 787us/step - loss: 0.5434 Epoch 60/100 76/76 [==============================] - 0s 814us/step - loss: 0.5424 Epoch 61/100 76/76 [==============================] - 0s 827us/step - loss: 0.5422 Epoch 62/100 76/76 [==============================] - 0s 827us/step - loss: 0.5418 Epoch 63/100 76/76 [==============================] - 0s 840us/step - loss: 0.5414 Epoch 64/100 76/76 [==============================] - 0s 866us/step - loss: 0.5410 Epoch 65/100 76/76 [==============================] - 0s 997us/step - loss: 0.5406 Epoch 66/100 76/76 [==============================] - 0s 958us/step - loss: 0.5406 Epoch 67/100 76/76 [==============================] - 0s 919us/step - loss: 0.5400 Epoch 68/100 76/76 [==============================] - 0s 866us/step - loss: 0.5405 Epoch 69/100 76/76 [==============================] - 0s 840us/step - loss: 0.5401 Epoch 70/100 76/76 [==============================] - 0s 827us/step - loss: 0.5420 Epoch 71/100 76/76 [==============================] - 0s 853us/step - loss: 0.5401 Epoch 72/100 76/76 [==============================] - 0s 853us/step - loss: 0.5381 Epoch 73/100 76/76 [==============================] - 0s 866us/step - loss: 0.5390 Epoch 74/100 76/76 [==============================] - 0s 919us/step - loss: 0.5361 Epoch 75/100 76/76 [==============================] - 0s 971us/step - loss: 0.5375 Epoch 76/100 76/76 [==============================] - 0s 945us/step - loss: 0.5358 Epoch 77/100 76/76 [==============================] - 0s 840us/step - loss: 0.5376 Epoch 78/100 76/76 [==============================] - 0s 853us/step - loss: 0.5350 Epoch 79/100 76/76 [==============================] - 0s 827us/step - loss: 0.5349 Epoch 80/100 76/76 [==============================] - 0s 905us/step - loss: 0.5350 Epoch 81/100 76/76 [==============================] - 0s 879us/step - loss: 0.5335 Epoch 82/100 76/76 [==============================] - 0s 892us/step - loss: 0.5342 Epoch 83/100 76/76 [==============================] - 0s 945us/step - loss: 0.5345 Epoch 84/100 76/76 [==============================] - 0s 932us/step - loss: 0.5334 Epoch 85/100 76/76 [==============================] - 0s 945us/step - loss: 0.5319 Epoch 86/100 76/76 [==============================] - 0s 945us/step - loss: 0.5315 Epoch 87/100 76/76 [==============================] - 0s 945us/step - loss: 0.5339 Epoch 88/100 76/76 [==============================] - 0s 892us/step - loss: 0.5309 Epoch 89/100 76/76 [==============================] - 0s 919us/step - loss: 0.5300 Epoch 90/100 76/76 [==============================] - 0s 945us/step - loss: 0.5302 Epoch 91/100 76/76 [==============================] - 0s 945us/step - loss: 0.5301 Epoch 92/100 76/76 [==============================] - 0s 840us/step - loss: 0.5275 Epoch 93/100 76/76 [==============================] - 0s 919us/step - loss: 0.5303 Epoch 94/100 76/76 [==============================] - 0s 827us/step - loss: 0.5310 Epoch 95/100 76/76 [==============================] - 0s 879us/step - loss: 0.5274 Epoch 96/100 76/76 [==============================] - 0s 905us/step - loss: 0.5276 Epoch 97/100 76/76 [==============================] - 0s 919us/step - loss: 0.5269 Epoch 98/100 76/76 [==============================] - 0s 919us/step - loss: 0.5274 Epoch 99/100 76/76 [==============================] - 0s 971us/step - loss: 0.5259 Epoch 100/100 76/76 [==============================] - 0s 932us/step - loss: 0.5249 ###################################################################### Accuracy: 72.76853303498396 Epoch 1/100 77/77 [==============================] - 0s 907us/step - loss: 0.9804 Epoch 2/100 77/77 [==============================] - 0s 842us/step - loss: 0.8970 Epoch 3/100 77/77 [==============================] - 0s 829us/step - loss: 0.7351 Epoch 4/100 77/77 [==============================] - 0s 868us/step - loss: 0.6613 Epoch 5/100 77/77 [==============================] - 0s 868us/step - loss: 0.6412 Epoch 6/100 77/77 [==============================] - 0s 868us/step - loss: 0.6324 Epoch 7/100 77/77 [==============================] - 0s 829us/step - loss: 0.6264 Epoch 8/100 77/77 [==============================] - 0s 855us/step - loss: 0.6210 Epoch 9/100 77/77 [==============================] - 0s 855us/step - loss: 0.6162 Epoch 10/100 77/77 [==============================] - 0s 803us/step - loss: 0.6122 Epoch 11/100 77/77 [==============================] - 0s 816us/step - loss: 0.6073 Epoch 12/100 77/77 [==============================] - 0s 868us/step - loss: 0.6012 Epoch 13/100 77/77 [==============================] - 0s 842us/step - loss: 0.5973 Epoch 14/100 77/77 [==============================] - 0s 868us/step - loss: 0.5936 Epoch 15/100 77/77 [==============================] - 0s 855us/step - loss: 0.5911 Epoch 16/100 77/77 [==============================] - 0s 842us/step - loss: 0.5889 Epoch 17/100 77/77 [==============================] - 0s 790us/step - loss: 0.5873 Epoch 18/100 77/77 [==============================] - 0s 803us/step - loss: 0.5837 Epoch 19/100 77/77 [==============================] - 0s 842us/step - loss: 0.5827 Epoch 20/100 77/77 [==============================] - 0s 855us/step - loss: 0.5822 Epoch 21/100 77/77 [==============================] - 0s 855us/step - loss: 0.5793 Epoch 22/100 77/77 [==============================] - 0s 842us/step - loss: 0.5776 Epoch 23/100 77/77 [==============================] - 0s 842us/step - loss: 0.5759 Epoch 24/100 77/77 [==============================] - 0s 803us/step - loss: 0.5752 Epoch 25/100 77/77 [==============================] - 0s 868us/step - loss: 0.5741 Epoch 26/100 77/77 [==============================] - 0s 855us/step - loss: 0.5735 Epoch 27/100 77/77 [==============================] - 0s 842us/step - loss: 0.5736 Epoch 28/100 77/77 [==============================] - 0s 829us/step - loss: 0.5702 Epoch 29/100 77/77 [==============================] - 0s 816us/step - loss: 0.5687 Epoch 30/100 77/77 [==============================] - 0s 881us/step - loss: 0.5678 Epoch 31/100 77/77 [==============================] - 0s 842us/step - loss: 0.5693 Epoch 32/100 77/77 [==============================] - 0s 803us/step - loss: 0.5676 Epoch 33/100 77/77 [==============================] - 0s 842us/step - loss: 0.5666 Epoch 34/100 77/77 [==============================] - 0s 894us/step - loss: 0.5654 Epoch 35/100 77/77 [==============================] - 0s 829us/step - loss: 0.5641 Epoch 36/100 77/77 [==============================] - 0s 868us/step - loss: 0.5622 Epoch 37/100 77/77 [==============================] - 0s 829us/step - loss: 0.5629 Epoch 38/100 77/77 [==============================] - 0s 920us/step - loss: 0.5611 Epoch 39/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5611 Epoch 40/100 77/77 [==============================] - 0s 907us/step - loss: 0.5616 Epoch 41/100 77/77 [==============================] - 0s 933us/step - loss: 0.5603 Epoch 42/100 77/77 [==============================] - 0s 855us/step - loss: 0.5603 Epoch 43/100 77/77 [==============================] - 0s 829us/step - loss: 0.5603 Epoch 44/100 77/77 [==============================] - 0s 855us/step - loss: 0.5590 Epoch 45/100 77/77 [==============================] - 0s 855us/step - loss: 0.5585 Epoch 46/100 77/77 [==============================] - 0s 842us/step - loss: 0.5552 Epoch 47/100 77/77 [==============================] - 0s 868us/step - loss: 0.5558 Epoch 48/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5549 Epoch 49/100 77/77 [==============================] - 0s 946us/step - loss: 0.5545 Epoch 50/100 77/77 [==============================] - 0s 984us/step - loss: 0.5542 Epoch 51/100 77/77 [==============================] - 0s 881us/step - loss: 0.5543 Epoch 52/100 77/77 [==============================] - 0s 933us/step - loss: 0.5551 Epoch 53/100 77/77 [==============================] - 0s 946us/step - loss: 0.5541 Epoch 54/100 77/77 [==============================] - 0s 946us/step - loss: 0.5527 Epoch 55/100 77/77 [==============================] - 0s 984us/step - loss: 0.5561 Epoch 56/100 77/77 [==============================] - 0s 946us/step - loss: 0.5536 Epoch 57/100 77/77 [==============================] - 0s 907us/step - loss: 0.5493 Epoch 58/100 77/77 [==============================] - 0s 971us/step - loss: 0.5520 Epoch 59/100 77/77 [==============================] - 0s 958us/step - loss: 0.5505 Epoch 60/100 77/77 [==============================] - 0s 933us/step - loss: 0.5487 Epoch 61/100 77/77 [==============================] - 0s 946us/step - loss: 0.5489 Epoch 62/100 77/77 [==============================] - 0s 894us/step - loss: 0.5482 Epoch 63/100 77/77 [==============================] - 0s 842us/step - loss: 0.5477 Epoch 64/100 77/77 [==============================] - 0s 842us/step - loss: 0.5485 Epoch 65/100 77/77 [==============================] - 0s 855us/step - loss: 0.5470 Epoch 66/100 77/77 [==============================] - 0s 842us/step - loss: 0.5469 Epoch 67/100 77/77 [==============================] - 0s 868us/step - loss: 0.5456 Epoch 68/100 77/77 [==============================] - 0s 829us/step - loss: 0.5438 Epoch 69/100 77/77 [==============================] - 0s 868us/step - loss: 0.5438 Epoch 70/100 77/77 [==============================] - 0s 829us/step - loss: 0.5450 Epoch 71/100 77/77 [==============================] - 0s 868us/step - loss: 0.5434 Epoch 72/100 77/77 [==============================] - 0s 816us/step - loss: 0.5439 Epoch 73/100 77/77 [==============================] - 0s 855us/step - loss: 0.5424 Epoch 74/100 77/77 [==============================] - 0s 829us/step - loss: 0.5411 Epoch 75/100 77/77 [==============================] - 0s 894us/step - loss: 0.5429 Epoch 76/100 77/77 [==============================] - 0s 920us/step - loss: 0.5413 Epoch 77/100 77/77 [==============================] - 0s 984us/step - loss: 0.5411 Epoch 78/100 77/77 [==============================] - 0s 907us/step - loss: 0.5398 Epoch 79/100 77/77 [==============================] - 0s 920us/step - loss: 0.5386 Epoch 80/100 77/77 [==============================] - 0s 946us/step - loss: 0.5391 Epoch 81/100 77/77 [==============================] - 0s 920us/step - loss: 0.5390 Epoch 82/100 77/77 [==============================] - 0s 855us/step - loss: 0.5381 Epoch 83/100 77/77 [==============================] - 0s 855us/step - loss: 0.5377 Epoch 84/100 77/77 [==============================] - 0s 894us/step - loss: 0.5369 Epoch 85/100 77/77 [==============================] - 0s 958us/step - loss: 0.5363 Epoch 86/100 77/77 [==============================] - 0s 958us/step - loss: 0.5356 Epoch 87/100 77/77 [==============================] - 0s 971us/step - loss: 0.5347 Epoch 88/100 77/77 [==============================] - 0s 958us/step - loss: 0.5353 Epoch 89/100 77/77 [==============================] - 0s 933us/step - loss: 0.5359 Epoch 90/100 77/77 [==============================] - 0s 933us/step - loss: 0.5379 Epoch 91/100 77/77 [==============================] - 0s 971us/step - loss: 0.5342 Epoch 92/100 77/77 [==============================] - 0s 984us/step - loss: 0.5325 Epoch 93/100 77/77 [==============================] - 0s 920us/step - loss: 0.5334 Epoch 94/100 77/77 [==============================] - 0s 881us/step - loss: 0.5326 Epoch 95/100 77/77 [==============================] - 0s 881us/step - loss: 0.5349 Epoch 96/100 77/77 [==============================] - 0s 894us/step - loss: 0.5337 Epoch 97/100 77/77 [==============================] - 0s 881us/step - loss: 0.5325 Epoch 98/100 77/77 [==============================] - 0s 881us/step - loss: 0.5306 Epoch 99/100 77/77 [==============================] - 0s 933us/step - loss: 0.5310 Epoch 100/100 77/77 [==============================] - 0s 920us/step - loss: 0.5317 ###################################################################### Accuracy: 71.16671222066292 Epoch 1/100 77/77 [==============================] - 0s 1ms/step - loss: 0.9710 Epoch 2/100 77/77 [==============================] - 0s 907us/step - loss: 0.8870 Epoch 3/100 77/77 [==============================] - 0s 881us/step - loss: 0.7107 Epoch 4/100 77/77 [==============================] - 0s 907us/step - loss: 0.6372 Epoch 5/100 77/77 [==============================] - 0s 881us/step - loss: 0.6259 Epoch 6/100 77/77 [==============================] - 0s 907us/step - loss: 0.6157 Epoch 7/100 77/77 [==============================] - 0s 907us/step - loss: 0.6119 Epoch 8/100 77/77 [==============================] - 0s 933us/step - loss: 0.6058 Epoch 9/100 77/77 [==============================] - 0s 933us/step - loss: 0.6024 Epoch 10/100 77/77 [==============================] - 0s 946us/step - loss: 0.5969 Epoch 11/100 77/77 [==============================] - 0s 984us/step - loss: 0.5954 Epoch 12/100 77/77 [==============================] - 0s 984us/step - loss: 0.5915 Epoch 13/100 77/77 [==============================] - 0s 958us/step - loss: 0.5909 Epoch 14/100 77/77 [==============================] - 0s 971us/step - loss: 0.5898 Epoch 15/100 77/77 [==============================] - ETA: 0s - loss: 0.587 - 0s 946us/step - loss: 0.5863 Epoch 16/100 77/77 [==============================] - 0s 868us/step - loss: 0.5832 Epoch 17/100 77/77 [==============================] - 0s 933us/step - loss: 0.5816 Epoch 18/100 77/77 [==============================] - 0s 881us/step - loss: 0.5798 Epoch 19/100 77/77 [==============================] - 0s 829us/step - loss: 0.5758 Epoch 20/100 77/77 [==============================] - 0s 829us/step - loss: 0.5759 Epoch 21/100 77/77 [==============================] - 0s 868us/step - loss: 0.5739 Epoch 22/100 77/77 [==============================] - 0s 829us/step - loss: 0.5725 Epoch 23/100 77/77 [==============================] - 0s 855us/step - loss: 0.5716 Epoch 24/100 77/77 [==============================] - 0s 868us/step - loss: 0.5710 Epoch 25/100 77/77 [==============================] - 0s 842us/step - loss: 0.5692 Epoch 26/100 77/77 [==============================] - 0s 868us/step - loss: 0.5671 Epoch 27/100 77/77 [==============================] - 0s 868us/step - loss: 0.5675 Epoch 28/100 77/77 [==============================] - 0s 894us/step - loss: 0.5645 Epoch 29/100 77/77 [==============================] - 0s 933us/step - loss: 0.5643 Epoch 30/100 77/77 [==============================] - 0s 907us/step - loss: 0.5624 Epoch 31/100 77/77 [==============================] - 0s 842us/step - loss: 0.5627 Epoch 32/100 77/77 [==============================] - 0s 855us/step - loss: 0.5623 Epoch 33/100 77/77 [==============================] - 0s 894us/step - loss: 0.5606 Epoch 34/100 77/77 [==============================] - 0s 933us/step - loss: 0.5591 Epoch 35/100 77/77 [==============================] - 0s 971us/step - loss: 0.5567 Epoch 36/100 77/77 [==============================] - 0s 894us/step - loss: 0.5585 Epoch 37/100 77/77 [==============================] - 0s 933us/step - loss: 0.5569 Epoch 38/100 77/77 [==============================] - 0s 933us/step - loss: 0.5564 Epoch 39/100 77/77 [==============================] - 0s 997us/step - loss: 0.5537 Epoch 40/100 77/77 [==============================] - 0s 920us/step - loss: 0.5543 Epoch 41/100 77/77 [==============================] - 0s 907us/step - loss: 0.5540 Epoch 42/100 77/77 [==============================] - 0s 933us/step - loss: 0.5532 Epoch 43/100 77/77 [==============================] - 0s 958us/step - loss: 0.5513 Epoch 44/100 77/77 [==============================] - 0s 997us/step - loss: 0.5498 Epoch 45/100 77/77 [==============================] - 0s 920us/step - loss: 0.5509 Epoch 46/100 77/77 [==============================] - 0s 958us/step - loss: 0.5495 Epoch 47/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5478 Epoch 48/100 77/77 [==============================] - 0s 958us/step - loss: 0.5507 Epoch 49/100 77/77 [==============================] - 0s 971us/step - loss: 0.5508 Epoch 50/100 77/77 [==============================] - 0s 984us/step - loss: 0.5499 Epoch 51/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5443 Epoch 52/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5426 Epoch 53/100 77/77 [==============================] - 0s 997us/step - loss: 0.5414 Epoch 54/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5424 Epoch 55/100 77/77 [==============================] - 0s 984us/step - loss: 0.5443 Epoch 56/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5393 Epoch 57/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5408 Epoch 58/100 77/77 [==============================] - 0s 971us/step - loss: 0.5402 Epoch 59/100 77/77 [==============================] - 0s 920us/step - loss: 0.5367 Epoch 60/100 77/77 [==============================] - 0s 855us/step - loss: 0.5369 Epoch 61/100 77/77 [==============================] - 0s 855us/step - loss: 0.5358 Epoch 62/100 77/77 [==============================] - 0s 868us/step - loss: 0.5347 Epoch 63/100 77/77 [==============================] - 0s 868us/step - loss: 0.5370 Epoch 64/100 77/77 [==============================] - 0s 842us/step - loss: 0.5351 Epoch 65/100 77/77 [==============================] - 0s 842us/step - loss: 0.5339 Epoch 66/100 77/77 [==============================] - 0s 829us/step - loss: 0.5349 Epoch 67/100 77/77 [==============================] - 0s 881us/step - loss: 0.5328 Epoch 68/100 77/77 [==============================] - 0s 803us/step - loss: 0.5320 Epoch 69/100 77/77 [==============================] - 0s 894us/step - loss: 0.5330 Epoch 70/100 77/77 [==============================] - 0s 829us/step - loss: 0.5325 Epoch 71/100 77/77 [==============================] - 0s 855us/step - loss: 0.5294 Epoch 72/100 77/77 [==============================] - 0s 829us/step - loss: 0.5303 Epoch 73/100 77/77 [==============================] - 0s 855us/step - loss: 0.5301 Epoch 74/100 77/77 [==============================] - 0s 842us/step - loss: 0.5280 Epoch 75/100 77/77 [==============================] - 0s 855us/step - loss: 0.5311 Epoch 76/100 77/77 [==============================] - 0s 855us/step - loss: 0.5285 Epoch 77/100 77/77 [==============================] - 0s 842us/step - loss: 0.5314 Epoch 78/100 77/77 [==============================] - 0s 842us/step - loss: 0.5280 Epoch 79/100 77/77 [==============================] - 0s 855us/step - loss: 0.5296 Epoch 80/100 77/77 [==============================] - 0s 816us/step - loss: 0.5291 Epoch 81/100 77/77 [==============================] - 0s 855us/step - loss: 0.5256 Epoch 82/100 77/77 [==============================] - 0s 855us/step - loss: 0.5272 Epoch 83/100 77/77 [==============================] - 0s 855us/step - loss: 0.5264 Epoch 84/100 77/77 [==============================] - 0s 894us/step - loss: 0.5267 Epoch 85/100 77/77 [==============================] - 0s 984us/step - loss: 0.5248 Epoch 86/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5232 Epoch 87/100 77/77 [==============================] - 0s 958us/step - loss: 0.5228 Epoch 88/100 77/77 [==============================] - 0s 958us/step - loss: 0.5247 Epoch 89/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5221 Epoch 90/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5226 Epoch 91/100 77/77 [==============================] - 0s 997us/step - loss: 0.5207 Epoch 92/100 77/77 [==============================] - 0s 984us/step - loss: 0.5202 Epoch 93/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5184 Epoch 94/100 77/77 [==============================] - 0s 997us/step - loss: 0.5211 Epoch 95/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5186 Epoch 96/100 77/77 [==============================] - 0s 984us/step - loss: 0.5184 Epoch 97/100 77/77 [==============================] - 0s 907us/step - loss: 0.5170 Epoch 98/100 77/77 [==============================] - 0s 920us/step - loss: 0.5146 Epoch 99/100 77/77 [==============================] - 0s 894us/step - loss: 0.5185 Epoch 100/100 77/77 [==============================] - 0s 868us/step - loss: 0.5143 ###################################################################### Accuracy: 83.2146311784119 Epoch 1/100 77/77 [==============================] - 0s 1ms/step - loss: 1.0130 Epoch 2/100 77/77 [==============================] - 0s 907us/step - loss: 0.9301 Epoch 3/100 77/77 [==============================] - 0s 1ms/step - loss: 0.7232 Epoch 4/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6582 Epoch 5/100 77/77 [==============================] - 0s 958us/step - loss: 0.6497 Epoch 6/100 77/77 [==============================] - 0s 958us/step - loss: 0.6447 Epoch 7/100 77/77 [==============================] - 0s 958us/step - loss: 0.6420 Epoch 8/100 77/77 [==============================] - 0s 907us/step - loss: 0.6387 Epoch 9/100 77/77 [==============================] - 0s 971us/step - loss: 0.6355 Epoch 10/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6323 Epoch 11/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6304 Epoch 12/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6289 Epoch 13/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6264 Epoch 14/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6231 Epoch 15/100 77/77 [==============================] - 0s 1ms/step - loss: 0.6220 Epoch 16/100 77/77 [==============================] - 0s 997us/step - loss: 0.6219 Epoch 17/100 77/77 [==============================] - 0s 881us/step - loss: 0.6171 Epoch 18/100 77/77 [==============================] - 0s 946us/step - loss: 0.6170 Epoch 19/100 77/77 [==============================] - 0s 868us/step - loss: 0.6167 Epoch 20/100 77/77 [==============================] - 0s 984us/step - loss: 0.6130 Epoch 21/100 77/77 [==============================] - 0s 984us/step - loss: 0.6122 Epoch 22/100 77/77 [==============================] - 0s 971us/step - loss: 0.6098 Epoch 23/100 77/77 [==============================] - 0s 868us/step - loss: 0.6081 Epoch 24/100 77/77 [==============================] - 0s 958us/step - loss: 0.6101 Epoch 25/100 77/77 [==============================] - 0s 881us/step - loss: 0.6087 Epoch 26/100 77/77 [==============================] - 0s 984us/step - loss: 0.6065 Epoch 27/100 77/77 [==============================] - 0s 971us/step - loss: 0.6033 Epoch 28/100 77/77 [==============================] - 0s 958us/step - loss: 0.6039 Epoch 29/100 77/77 [==============================] - 0s 933us/step - loss: 0.6011 Epoch 30/100 77/77 [==============================] - 0s 894us/step - loss: 0.6011 Epoch 31/100 77/77 [==============================] - 0s 958us/step - loss: 0.6002 Epoch 32/100 77/77 [==============================] - 0s 907us/step - loss: 0.5994 Epoch 33/100 77/77 [==============================] - 0s 946us/step - loss: 0.5968 Epoch 34/100 77/77 [==============================] - 0s 855us/step - loss: 0.5949 Epoch 35/100 77/77 [==============================] - 0s 907us/step - loss: 0.5944 Epoch 36/100 77/77 [==============================] - 0s 842us/step - loss: 0.5932 Epoch 37/100 77/77 [==============================] - 0s 868us/step - loss: 0.5955 Epoch 38/100 77/77 [==============================] - 0s 920us/step - loss: 0.5922 Epoch 39/100 77/77 [==============================] - 0s 946us/step - loss: 0.5932 Epoch 40/100 77/77 [==============================] - 0s 933us/step - loss: 0.5908 Epoch 41/100 77/77 [==============================] - 0s 946us/step - loss: 0.5915 Epoch 42/100 77/77 [==============================] - 0s 894us/step - loss: 0.5930 Epoch 43/100 77/77 [==============================] - 0s 907us/step - loss: 0.5901 Epoch 44/100 77/77 [==============================] - 0s 971us/step - loss: 0.5876 Epoch 45/100 77/77 [==============================] - 0s 946us/step - loss: 0.5864 Epoch 46/100 77/77 [==============================] - 0s 997us/step - loss: 0.5858 Epoch 47/100 77/77 [==============================] - 0s 894us/step - loss: 0.5844 Epoch 48/100 77/77 [==============================] - 0s 894us/step - loss: 0.5883 Epoch 49/100 77/77 [==============================] - 0s 933us/step - loss: 0.5846 Epoch 50/100 77/77 [==============================] - 0s 958us/step - loss: 0.5834 Epoch 51/100 77/77 [==============================] - 0s 958us/step - loss: 0.5834 Epoch 52/100 77/77 [==============================] - 0s 997us/step - loss: 0.5837 Epoch 53/100 77/77 [==============================] - 0s 920us/step - loss: 0.5840 Epoch 54/100 77/77 [==============================] - 0s 907us/step - loss: 0.5807 Epoch 55/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5813 Epoch 56/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5787 Epoch 57/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5784 Epoch 58/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5764 Epoch 59/100 77/77 [==============================] - 0s 907us/step - loss: 0.5810 Epoch 60/100 77/77 [==============================] - 0s 894us/step - loss: 0.5787 Epoch 61/100 77/77 [==============================] - 0s 997us/step - loss: 0.5756 Epoch 62/100 77/77 [==============================] - 0s 855us/step - loss: 0.5735 Epoch 63/100 77/77 [==============================] - 0s 984us/step - loss: 0.5725 Epoch 64/100 77/77 [==============================] - 0s 997us/step - loss: 0.5743 Epoch 65/100 77/77 [==============================] - 0s 958us/step - loss: 0.5706 Epoch 66/100 77/77 [==============================] - 0s 933us/step - loss: 0.5714 Epoch 67/100 77/77 [==============================] - 0s 971us/step - loss: 0.5700 Epoch 68/100 77/77 [==============================] - 0s 958us/step - loss: 0.5711 Epoch 69/100 77/77 [==============================] - 0s 933us/step - loss: 0.5690 Epoch 70/100 77/77 [==============================] - 0s 933us/step - loss: 0.5661 Epoch 71/100 77/77 [==============================] - 0s 984us/step - loss: 0.5681 Epoch 72/100 77/77 [==============================] - 0s 868us/step - loss: 0.5655 Epoch 73/100 77/77 [==============================] - 0s 907us/step - loss: 0.5665 Epoch 74/100 77/77 [==============================] - 0s 894us/step - loss: 0.5670 Epoch 75/100 77/77 [==============================] - 0s 920us/step - loss: 0.5664 Epoch 76/100 77/77 [==============================] - 0s 984us/step - loss: 0.5645 Epoch 77/100 77/77 [==============================] - 0s 920us/step - loss: 0.5638 Epoch 78/100 77/77 [==============================] - 0s 933us/step - loss: 0.5615 Epoch 79/100 77/77 [==============================] - 0s 946us/step - loss: 0.5634 Epoch 80/100 77/77 [==============================] - 0s 881us/step - loss: 0.5644 Epoch 81/100 77/77 [==============================] - 0s 945us/step - loss: 0.5623 Epoch 82/100 77/77 [==============================] - 0s 920us/step - loss: 0.5666 Epoch 83/100 77/77 [==============================] - 0s 958us/step - loss: 0.5605 Epoch 84/100 77/77 [==============================] - 0s 984us/step - loss: 0.5569 Epoch 85/100 77/77 [==============================] - 0s 920us/step - loss: 0.5595 Epoch 86/100 77/77 [==============================] - 0s 894us/step - loss: 0.5574 Epoch 87/100 77/77 [==============================] - 0s 920us/step - loss: 0.5582 Epoch 88/100 77/77 [==============================] - 0s 894us/step - loss: 0.5541 Epoch 89/100 77/77 [==============================] - 0s 907us/step - loss: 0.5550 Epoch 90/100 77/77 [==============================] - 0s 958us/step - loss: 0.5620 Epoch 91/100 77/77 [==============================] - 0s 946us/step - loss: 0.5565 Epoch 92/100 77/77 [==============================] - 0s 920us/step - loss: 0.5555 Epoch 93/100 77/77 [==============================] - 0s 971us/step - loss: 0.5552 Epoch 94/100 77/77 [==============================] - 0s 933us/step - loss: 0.5519 Epoch 95/100 77/77 [==============================] - 0s 907us/step - loss: 0.5566 Epoch 96/100 77/77 [==============================] - 0s 881us/step - loss: 0.5500 Epoch 97/100 77/77 [==============================] - 0s 997us/step - loss: 0.5495 Epoch 98/100 77/77 [==============================] - 0s 907us/step - loss: 0.5500 Epoch 99/100 77/77 [==============================] - 0s 868us/step - loss: 0.5510 Epoch 100/100 77/77 [==============================] - 0s 984us/step - loss: 0.5472 ###################################################################### Accuracy: 73.05500369026586 Epoch 1/100 77/77 [==============================] - 0s 909us/step - loss: 1.0004 Epoch 2/100 77/77 [==============================] - 0s 894us/step - loss: 0.9475 Epoch 3/100 77/77 [==============================] - 0s 907us/step - loss: 0.7533 Epoch 4/100 77/77 [==============================] - 0s 997us/step - loss: 0.6498 Epoch 5/100 77/77 [==============================] - 0s 946us/step - loss: 0.6352 Epoch 6/100 77/77 [==============================] - 0s 997us/step - loss: 0.6274 Epoch 7/100 77/77 [==============================] - 0s 958us/step - loss: 0.6220 Epoch 8/100 77/77 [==============================] - 0s 920us/step - loss: 0.6175 Epoch 9/100 77/77 [==============================] - 0s 946us/step - loss: 0.6128 Epoch 10/100 77/77 [==============================] - 0s 958us/step - loss: 0.6093 Epoch 11/100 77/77 [==============================] - 0s 894us/step - loss: 0.6065 Epoch 12/100 77/77 [==============================] - 0s 933us/step - loss: 0.6036 Epoch 13/100 77/77 [==============================] - 0s 920us/step - loss: 0.5994 Epoch 14/100 77/77 [==============================] - 0s 958us/step - loss: 0.5997 Epoch 15/100 77/77 [==============================] - 0s 933us/step - loss: 0.5953 Epoch 16/100 77/77 [==============================] - 0s 868us/step - loss: 0.5943 Epoch 17/100 77/77 [==============================] - 0s 894us/step - loss: 0.5923 Epoch 18/100 77/77 [==============================] - 0s 868us/step - loss: 0.5900 Epoch 19/100 77/77 [==============================] - 0s 881us/step - loss: 0.5887 Epoch 20/100 77/77 [==============================] - 0s 868us/step - loss: 0.5867 Epoch 21/100 77/77 [==============================] - 0s 894us/step - loss: 0.5866 Epoch 22/100 77/77 [==============================] - 0s 868us/step - loss: 0.5859 Epoch 23/100 77/77 [==============================] - 0s 855us/step - loss: 0.5825 Epoch 24/100 77/77 [==============================] - 0s 855us/step - loss: 0.5813 Epoch 25/100 77/77 [==============================] - 0s 855us/step - loss: 0.5824 Epoch 26/100 77/77 [==============================] - 0s 868us/step - loss: 0.5807 Epoch 27/100 77/77 [==============================] - 0s 868us/step - loss: 0.5774 Epoch 28/100 77/77 [==============================] - 0s 907us/step - loss: 0.5762 Epoch 29/100 77/77 [==============================] - 0s 881us/step - loss: 0.5768 Epoch 30/100 77/77 [==============================] - 0s 855us/step - loss: 0.5755 Epoch 31/100 77/77 [==============================] - 0s 842us/step - loss: 0.5766 Epoch 32/100 77/77 [==============================] - 0s 842us/step - loss: 0.5771 Epoch 33/100 77/77 [==============================] - 0s 855us/step - loss: 0.5743 Epoch 34/100 77/77 [==============================] - 0s 868us/step - loss: 0.5722 Epoch 35/100 77/77 [==============================] - 0s 842us/step - loss: 0.5745 Epoch 36/100 77/77 [==============================] - 0s 855us/step - loss: 0.5705 Epoch 37/100 77/77 [==============================] - 0s 803us/step - loss: 0.5702 Epoch 38/100 77/77 [==============================] - 0s 842us/step - loss: 0.5707 Epoch 39/100 77/77 [==============================] - 0s 842us/step - loss: 0.5693 Epoch 40/100 77/77 [==============================] - 0s 855us/step - loss: 0.5676 Epoch 41/100 77/77 [==============================] - 0s 816us/step - loss: 0.5694 Epoch 42/100 77/77 [==============================] - 0s 816us/step - loss: 0.5675 Epoch 43/100 77/77 [==============================] - 0s 907us/step - loss: 0.5671 Epoch 44/100 77/77 [==============================] - 0s 881us/step - loss: 0.5662 Epoch 45/100 77/77 [==============================] - 0s 868us/step - loss: 0.5659 Epoch 46/100 77/77 [==============================] - 0s 842us/step - loss: 0.5657 Epoch 47/100 77/77 [==============================] - 0s 855us/step - loss: 0.5641 Epoch 48/100 77/77 [==============================] - 0s 829us/step - loss: 0.5636 Epoch 49/100 77/77 [==============================] - 0s 855us/step - loss: 0.5628 Epoch 50/100 77/77 [==============================] - 0s 881us/step - loss: 0.5628 Epoch 51/100 77/77 [==============================] - 0s 920us/step - loss: 0.5619 Epoch 52/100 77/77 [==============================] - 0s 842us/step - loss: 0.5611 Epoch 53/100 77/77 [==============================] - 0s 829us/step - loss: 0.5613 Epoch 54/100 77/77 [==============================] - 0s 842us/step - loss: 0.5602 Epoch 55/100 77/77 [==============================] - 0s 829us/step - loss: 0.5590 Epoch 56/100 77/77 [==============================] - 0s 842us/step - loss: 0.5616 Epoch 57/100 77/77 [==============================] - 0s 855us/step - loss: 0.5612 Epoch 58/100 77/77 [==============================] - 0s 855us/step - loss: 0.5586 Epoch 59/100 77/77 [==============================] - 0s 829us/step - loss: 0.5577 Epoch 60/100 77/77 [==============================] - 0s 855us/step - loss: 0.5592 Epoch 61/100 77/77 [==============================] - 0s 881us/step - loss: 0.5563 Epoch 62/100 77/77 [==============================] - 0s 842us/step - loss: 0.5557 Epoch 63/100 77/77 [==============================] - 0s 842us/step - loss: 0.5564 Epoch 64/100 77/77 [==============================] - 0s 829us/step - loss: 0.5553 Epoch 65/100 77/77 [==============================] - 0s 868us/step - loss: 0.5531 Epoch 66/100 77/77 [==============================] - 0s 829us/step - loss: 0.5536 Epoch 67/100 77/77 [==============================] - 0s 803us/step - loss: 0.5525 Epoch 68/100 77/77 [==============================] - 0s 920us/step - loss: 0.5515 Epoch 69/100 77/77 [==============================] - 0s 920us/step - loss: 0.5504 Epoch 70/100 77/77 [==============================] - 0s 842us/step - loss: 0.5487 Epoch 71/100 77/77 [==============================] - 0s 842us/step - loss: 0.5503 Epoch 72/100 77/77 [==============================] - 0s 829us/step - loss: 0.5489 Epoch 73/100 77/77 [==============================] - 0s 842us/step - loss: 0.5499 Epoch 74/100 77/77 [==============================] - 0s 881us/step - loss: 0.5469 Epoch 75/100 77/77 [==============================] - 0s 816us/step - loss: 0.5453 Epoch 76/100 77/77 [==============================] - 0s 816us/step - loss: 0.5472 Epoch 77/100 77/77 [==============================] - 0s 855us/step - loss: 0.5448 Epoch 78/100 77/77 [==============================] - 0s 842us/step - loss: 0.5431 Epoch 79/100 77/77 [==============================] - 0s 855us/step - loss: 0.5435 Epoch 80/100 77/77 [==============================] - 0s 842us/step - loss: 0.5448 Epoch 81/100 77/77 [==============================] - 0s 842us/step - loss: 0.5405 Epoch 82/100 77/77 [==============================] - 0s 842us/step - loss: 0.5407 Epoch 83/100 77/77 [==============================] - 0s 803us/step - loss: 0.5410 Epoch 84/100 77/77 [==============================] - 0s 868us/step - loss: 0.5417 Epoch 85/100 77/77 [==============================] - 0s 816us/step - loss: 0.5378 Epoch 86/100 77/77 [==============================] - 0s 816us/step - loss: 0.5398 Epoch 87/100 77/77 [==============================] - 0s 842us/step - loss: 0.5362 Epoch 88/100 77/77 [==============================] - 0s 842us/step - loss: 0.5352 Epoch 89/100 77/77 [==============================] - 0s 855us/step - loss: 0.5405 Epoch 90/100 77/77 [==============================] - 0s 868us/step - loss: 0.5382 Epoch 91/100 77/77 [==============================] - 0s 868us/step - loss: 0.5352 Epoch 92/100 77/77 [==============================] - 0s 829us/step - loss: 0.5347 Epoch 93/100 77/77 [==============================] - 0s 881us/step - loss: 0.5343 Epoch 94/100 77/77 [==============================] - 0s 842us/step - loss: 0.5348 Epoch 95/100 77/77 [==============================] - 0s 868us/step - loss: 0.5324 Epoch 96/100 77/77 [==============================] - 0s 855us/step - loss: 0.5320 Epoch 97/100 77/77 [==============================] - 0s 829us/step - loss: 0.5310 Epoch 98/100 77/77 [==============================] - 0s 894us/step - loss: 0.5305 Epoch 99/100 77/77 [==============================] - 0s 842us/step - loss: 0.5304 Epoch 100/100 77/77 [==============================] - 0s 855us/step - loss: 0.5287 ###################################################################### Accuracy: 72.56861790294796 Epoch 1/150 76/76 [==============================] - 0s 923us/step - loss: 1.0101 Epoch 2/150 76/76 [==============================] - 0s 932us/step - loss: 0.9025 Epoch 3/150 76/76 [==============================] - 0s 853us/step - loss: 0.7070 Epoch 4/150 76/76 [==============================] - 0s 879us/step - loss: 0.6429 Epoch 5/150 76/76 [==============================] - 0s 892us/step - loss: 0.6330 Epoch 6/150 76/76 [==============================] - 0s 945us/step - loss: 0.6265 Epoch 7/150 76/76 [==============================] - 0s 866us/step - loss: 0.6217 Epoch 8/150 76/76 [==============================] - 0s 800us/step - loss: 0.6182 Epoch 9/150 76/76 [==============================] - 0s 866us/step - loss: 0.6132 Epoch 10/150 76/76 [==============================] - 0s 879us/step - loss: 0.6085 Epoch 11/150 76/76 [==============================] - 0s 1ms/step - loss: 0.6052 Epoch 12/150 76/76 [==============================] - 0s 919us/step - loss: 0.6022 Epoch 13/150 76/76 [==============================] - 0s 945us/step - loss: 0.5998 Epoch 14/150 76/76 [==============================] - 0s 840us/step - loss: 0.5973 Epoch 15/150 76/76 [==============================] - 0s 905us/step - loss: 0.5937 Epoch 16/150 76/76 [==============================] - 0s 879us/step - loss: 0.5911 Epoch 17/150 76/76 [==============================] - 0s 840us/step - loss: 0.5882 Epoch 18/150 76/76 [==============================] - 0s 840us/step - loss: 0.5894 Epoch 19/150 76/76 [==============================] - 0s 879us/step - loss: 0.5862 Epoch 20/150 76/76 [==============================] - 0s 853us/step - loss: 0.5837 Epoch 21/150 76/76 [==============================] - 0s 840us/step - loss: 0.5806 Epoch 22/150 76/76 [==============================] - 0s 919us/step - loss: 0.5793 Epoch 23/150 76/76 [==============================] - 0s 945us/step - loss: 0.5768 Epoch 24/150 76/76 [==============================] - 0s 905us/step - loss: 0.5752 Epoch 25/150 76/76 [==============================] - 0s 905us/step - loss: 0.5746 Epoch 26/150 76/76 [==============================] - 0s 919us/step - loss: 0.5736 Epoch 27/150 76/76 [==============================] - 0s 866us/step - loss: 0.5751 Epoch 28/150 76/76 [==============================] - 0s 919us/step - loss: 0.5713 Epoch 29/150 76/76 [==============================] - 0s 919us/step - loss: 0.5692 Epoch 30/150 76/76 [==============================] - 0s 971us/step - loss: 0.5702 Epoch 31/150 76/76 [==============================] - 0s 932us/step - loss: 0.5685 Epoch 32/150 76/76 [==============================] - 0s 866us/step - loss: 0.5671 Epoch 33/150 76/76 [==============================] - 0s 853us/step - loss: 0.5662 Epoch 34/150 76/76 [==============================] - 0s 919us/step - loss: 0.5662 Epoch 35/150 76/76 [==============================] - 0s 840us/step - loss: 0.5659 Epoch 36/150 76/76 [==============================] - 0s 853us/step - loss: 0.5656 Epoch 37/150 76/76 [==============================] - 0s 905us/step - loss: 0.5651 Epoch 38/150 76/76 [==============================] - 0s 853us/step - loss: 0.5636 Epoch 39/150 76/76 [==============================] - 0s 879us/step - loss: 0.5618 Epoch 40/150 76/76 [==============================] - 0s 892us/step - loss: 0.5622 Epoch 41/150 76/76 [==============================] - 0s 892us/step - loss: 0.5608 Epoch 42/150 76/76 [==============================] - 0s 866us/step - loss: 0.5588 Epoch 43/150 76/76 [==============================] - 0s 853us/step - loss: 0.5586 Epoch 44/150 76/76 [==============================] - 0s 814us/step - loss: 0.5588 Epoch 45/150 76/76 [==============================] - 0s 866us/step - loss: 0.5576 Epoch 46/150 76/76 [==============================] - 0s 840us/step - loss: 0.5574 Epoch 47/150 76/76 [==============================] - 0s 997us/step - loss: 0.5570 Epoch 48/150 76/76 [==============================] - 0s 919us/step - loss: 0.5576 Epoch 49/150 76/76 [==============================] - 0s 905us/step - loss: 0.5557 Epoch 50/150 76/76 [==============================] - 0s 919us/step - loss: 0.5568 Epoch 51/150 76/76 [==============================] - 0s 866us/step - loss: 0.5536 Epoch 52/150 76/76 [==============================] - 0s 932us/step - loss: 0.5523 Epoch 53/150 76/76 [==============================] - 0s 919us/step - loss: 0.5520 Epoch 54/150 76/76 [==============================] - 0s 840us/step - loss: 0.5510 Epoch 55/150 76/76 [==============================] - 0s 866us/step - loss: 0.5506 Epoch 56/150 76/76 [==============================] - 0s 866us/step - loss: 0.5544 Epoch 57/150 76/76 [==============================] - 0s 919us/step - loss: 0.5522 Epoch 58/150 76/76 [==============================] - 0s 932us/step - loss: 0.5493 Epoch 59/150 76/76 [==============================] - 0s 892us/step - loss: 0.5479 Epoch 60/150 76/76 [==============================] - 0s 879us/step - loss: 0.5483 Epoch 61/150 76/76 [==============================] - 0s 866us/step - loss: 0.5476 Epoch 62/150 76/76 [==============================] - 0s 932us/step - loss: 0.5464 Epoch 63/150 76/76 [==============================] - 0s 893us/step - loss: 0.5473 Epoch 64/150 76/76 [==============================] - 0s 932us/step - loss: 0.5455 Epoch 65/150 76/76 [==============================] - 0s 997us/step - loss: 0.5457 Epoch 66/150 76/76 [==============================] - 0s 892us/step - loss: 0.5452 Epoch 67/150 76/76 [==============================] - 0s 905us/step - loss: 0.5457 Epoch 68/150 76/76 [==============================] - 0s 840us/step - loss: 0.5447 Epoch 69/150 76/76 [==============================] - 0s 840us/step - loss: 0.5424 Epoch 70/150 76/76 [==============================] - 0s 879us/step - loss: 0.5427 Epoch 71/150 76/76 [==============================] - 0s 800us/step - loss: 0.5442 Epoch 72/150 76/76 [==============================] - 0s 827us/step - loss: 0.5416 Epoch 73/150 76/76 [==============================] - 0s 893us/step - loss: 0.5409 Epoch 74/150 76/76 [==============================] - 0s 905us/step - loss: 0.5415 Epoch 75/150 76/76 [==============================] - 0s 905us/step - loss: 0.5413 Epoch 76/150 76/76 [==============================] - 0s 801us/step - loss: 0.5402 Epoch 77/150 76/76 [==============================] - 0s 853us/step - loss: 0.5400 Epoch 78/150 76/76 [==============================] - 0s 853us/step - loss: 0.5401 0s - loss: 0.544 Epoch 79/150 76/76 [==============================] - 0s 827us/step - loss: 0.5392 Epoch 80/150 76/76 [==============================] - 0s 853us/step - loss: 0.5378 Epoch 81/150 76/76 [==============================] - 0s 827us/step - loss: 0.5351 Epoch 82/150 76/76 [==============================] - 0s 840us/step - loss: 0.5415 Epoch 83/150 76/76 [==============================] - 0s 853us/step - loss: 0.5362 Epoch 84/150 76/76 [==============================] - 0s 945us/step - loss: 0.5376 Epoch 85/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5356 Epoch 86/150 76/76 [==============================] - 0s 827us/step - loss: 0.5341 Epoch 87/150 76/76 [==============================] - 0s 945us/step - loss: 0.5352 Epoch 88/150 76/76 [==============================] - 0s 945us/step - loss: 0.5355 Epoch 89/150 76/76 [==============================] - 0s 866us/step - loss: 0.5341 Epoch 90/150 76/76 [==============================] - 0s 866us/step - loss: 0.5325 Epoch 91/150 76/76 [==============================] - 0s 905us/step - loss: 0.5320 Epoch 92/150 76/76 [==============================] - 0s 853us/step - loss: 0.5330 Epoch 93/150 76/76 [==============================] - 0s 892us/step - loss: 0.5312 Epoch 94/150 76/76 [==============================] - 0s 905us/step - loss: 0.5306 Epoch 95/150 76/76 [==============================] - 0s 932us/step - loss: 0.5294 Epoch 96/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5341 Epoch 97/150 76/76 [==============================] - 0s 2ms/step - loss: 0.5280 Epoch 98/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5288 Epoch 99/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5275 Epoch 100/150 76/76 [==============================] - 0s 932us/step - loss: 0.5275 Epoch 101/150 76/76 [==============================] - 0s 945us/step - loss: 0.5254 Epoch 102/150 76/76 [==============================] - 0s 971us/step - loss: 0.5269 Epoch 103/150 76/76 [==============================] - 0s 945us/step - loss: 0.5262 Epoch 104/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5257 Epoch 105/150 76/76 [==============================] - 0s 892us/step - loss: 0.5247 Epoch 106/150 76/76 [==============================] - 0s 905us/step - loss: 0.5252 Epoch 107/150 76/76 [==============================] - 0s 932us/step - loss: 0.5243 Epoch 108/150 76/76 [==============================] - 0s 827us/step - loss: 0.5223 Epoch 109/150 76/76 [==============================] - 0s 905us/step - loss: 0.5236 Epoch 110/150 76/76 [==============================] - 0s 892us/step - loss: 0.5223 Epoch 111/150 76/76 [==============================] - 0s 919us/step - loss: 0.5233 Epoch 112/150 76/76 [==============================] - 0s 905us/step - loss: 0.5224 Epoch 113/150 76/76 [==============================] - 0s 905us/step - loss: 0.5209 Epoch 114/150 76/76 [==============================] - 0s 919us/step - loss: 0.5218 Epoch 115/150 76/76 [==============================] - 0s 892us/step - loss: 0.5209 Epoch 116/150 76/76 [==============================] - 0s 919us/step - loss: 0.5197 Epoch 117/150 76/76 [==============================] - 0s 814us/step - loss: 0.5204 Epoch 118/150 76/76 [==============================] - 0s 800us/step - loss: 0.5217 Epoch 119/150 76/76 [==============================] - 0s 853us/step - loss: 0.5214 Epoch 120/150 76/76 [==============================] - 0s 879us/step - loss: 0.5212 Epoch 121/150 76/76 [==============================] - 0s 866us/step - loss: 0.5194 Epoch 122/150 76/76 [==============================] - 0s 879us/step - loss: 0.5202 Epoch 123/150 76/76 [==============================] - 0s 892us/step - loss: 0.5189 Epoch 124/150 76/76 [==============================] - 0s 945us/step - loss: 0.5193 Epoch 125/150 76/76 [==============================] - 0s 879us/step - loss: 0.5193 Epoch 126/150 76/76 [==============================] - 0s 905us/step - loss: 0.5194 Epoch 127/150 76/76 [==============================] - 0s 879us/step - loss: 0.5184 Epoch 128/150 76/76 [==============================] - 0s 853us/step - loss: 0.5195 Epoch 129/150 76/76 [==============================] - 0s 853us/step - loss: 0.5179 Epoch 130/150 76/76 [==============================] - 0s 827us/step - loss: 0.5209 Epoch 131/150 76/76 [==============================] - 0s 853us/step - loss: 0.5182 Epoch 132/150 76/76 [==============================] - 0s 905us/step - loss: 0.5161 Epoch 133/150 76/76 [==============================] - 0s 932us/step - loss: 0.5166 Epoch 134/150 76/76 [==============================] - 0s 814us/step - loss: 0.5185 Epoch 135/150 76/76 [==============================] - 0s 958us/step - loss: 0.5182 Epoch 136/150 76/76 [==============================] - 0s 997us/step - loss: 0.5165 Epoch 137/150 76/76 [==============================] - 0s 945us/step - loss: 0.5159 Epoch 138/150 76/76 [==============================] - 0s 866us/step - loss: 0.5139 Epoch 139/150 76/76 [==============================] - 0s 840us/step - loss: 0.5149 Epoch 140/150 76/76 [==============================] - 0s 866us/step - loss: 0.5141 Epoch 141/150 76/76 [==============================] - 0s 958us/step - loss: 0.5148 Epoch 142/150 76/76 [==============================] - 0s 801us/step - loss: 0.5134 Epoch 143/150 76/76 [==============================] - 0s 892us/step - loss: 0.5176 Epoch 144/150 76/76 [==============================] - 0s 984us/step - loss: 0.5127 Epoch 145/150 76/76 [==============================] - 0s 853us/step - loss: 0.5151 Epoch 146/150 76/76 [==============================] - 0s 879us/step - loss: 0.5136 Epoch 147/150 76/76 [==============================] - 0s 958us/step - loss: 0.5137 Epoch 148/150 76/76 [==============================] - 0s 827us/step - loss: 0.5144 Epoch 149/150 76/76 [==============================] - 0s 909us/step - loss: 0.5141 Epoch 150/150 76/76 [==============================] - 0s 892us/step - loss: 0.5132 ###################################################################### Accuracy: 76.19911227167707 Epoch 1/150 77/77 [==============================] - 0s 1ms/step - loss: 0.9821 Epoch 2/150 77/77 [==============================] - 0s 971us/step - loss: 0.8992 Epoch 3/150 77/77 [==============================] - 0s 881us/step - loss: 0.7430 Epoch 4/150 77/77 [==============================] - 0s 920us/step - loss: 0.6712 Epoch 5/150 77/77 [==============================] - 0s 933us/step - loss: 0.6438 Epoch 6/150 77/77 [==============================] - 0s 868us/step - loss: 0.6361 Epoch 7/150 77/77 [==============================] - 0s 920us/step - loss: 0.6319 Epoch 8/150 77/77 [==============================] - 0s 868us/step - loss: 0.6292 Epoch 9/150 77/77 [==============================] - 0s 868us/step - loss: 0.6215 Epoch 10/150 77/77 [==============================] - 0s 881us/step - loss: 0.6176 Epoch 11/150 77/77 [==============================] - 0s 842us/step - loss: 0.6144 Epoch 12/150 77/77 [==============================] - 0s 816us/step - loss: 0.6107 Epoch 13/150 77/77 [==============================] - 0s 881us/step - loss: 0.6089 Epoch 14/150 77/77 [==============================] - 0s 881us/step - loss: 0.6065 Epoch 15/150 77/77 [==============================] - 0s 920us/step - loss: 0.6034 Epoch 16/150 77/77 [==============================] - 0s 920us/step - loss: 0.6024 Epoch 17/150 77/77 [==============================] - 0s 894us/step - loss: 0.5983 Epoch 18/150 77/77 [==============================] - 0s 971us/step - loss: 0.5969 Epoch 19/150 77/77 [==============================] - 0s 868us/step - loss: 0.5937 Epoch 20/150 77/77 [==============================] - 0s 907us/step - loss: 0.5938 Epoch 21/150 77/77 [==============================] - 0s 894us/step - loss: 0.5911 Epoch 22/150 77/77 [==============================] - 0s 816us/step - loss: 0.5914 Epoch 23/150 77/77 [==============================] - 0s 855us/step - loss: 0.5878 Epoch 24/150 77/77 [==============================] - 0s 907us/step - loss: 0.5864 Epoch 25/150 77/77 [==============================] - 0s 958us/step - loss: 0.5859 Epoch 26/150 77/77 [==============================] - 0s 907us/step - loss: 0.5834 Epoch 27/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5823 Epoch 28/150 77/77 [==============================] - 0s 971us/step - loss: 0.5805 Epoch 29/150 77/77 [==============================] - 0s 881us/step - loss: 0.5791 Epoch 30/150 77/77 [==============================] - 0s 971us/step - loss: 0.5814 Epoch 31/150 77/77 [==============================] - 0s 997us/step - loss: 0.5767 Epoch 32/150 77/77 [==============================] - 0s 920us/step - loss: 0.5761 Epoch 33/150 77/77 [==============================] - 0s 907us/step - loss: 0.5757 Epoch 34/150 77/77 [==============================] - 0s 881us/step - loss: 0.5775 Epoch 35/150 77/77 [==============================] - 0s 958us/step - loss: 0.5748 Epoch 36/150 77/77 [==============================] - 0s 946us/step - loss: 0.5740 Epoch 37/150 77/77 [==============================] - 0s 946us/step - loss: 0.5718 Epoch 38/150 77/77 [==============================] - 0s 933us/step - loss: 0.5729 Epoch 39/150 77/77 [==============================] - 0s 958us/step - loss: 0.5693 Epoch 40/150 77/77 [==============================] - 0s 946us/step - loss: 0.5725 Epoch 41/150 77/77 [==============================] - 0s 933us/step - loss: 0.5702 Epoch 42/150 77/77 [==============================] - 0s 946us/step - loss: 0.5677 Epoch 43/150 77/77 [==============================] - 0s 933us/step - loss: 0.5677 Epoch 44/150 77/77 [==============================] - 0s 920us/step - loss: 0.5676 Epoch 45/150 77/77 [==============================] - 0s 984us/step - loss: 0.5692 Epoch 46/150 77/77 [==============================] - 0s 920us/step - loss: 0.5649 Epoch 47/150 77/77 [==============================] - 0s 997us/step - loss: 0.5661 Epoch 48/150 77/77 [==============================] - 0s 971us/step - loss: 0.5647 Epoch 49/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5636 Epoch 50/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5656 Epoch 51/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5654 Epoch 52/150 77/77 [==============================] - 0s 959us/step - loss: 0.5614 Epoch 53/150 77/77 [==============================] - 0s 946us/step - loss: 0.5630 Epoch 54/150 77/77 [==============================] - 0s 971us/step - loss: 0.5612 Epoch 55/150 77/77 [==============================] - 0s 920us/step - loss: 0.5608 Epoch 56/150 77/77 [==============================] - 0s 881us/step - loss: 0.5603 Epoch 57/150 77/77 [==============================] - 0s 958us/step - loss: 0.5601 Epoch 58/150 77/77 [==============================] - 0s 958us/step - loss: 0.5583 Epoch 59/150 77/77 [==============================] - 0s 971us/step - loss: 0.5593 Epoch 60/150 77/77 [==============================] - 0s 894us/step - loss: 0.5603 Epoch 61/150 77/77 [==============================] - 0s 907us/step - loss: 0.5584 Epoch 62/150 77/77 [==============================] - 0s 946us/step - loss: 0.5587 Epoch 63/150 77/77 [==============================] - 0s 933us/step - loss: 0.5612 Epoch 64/150 77/77 [==============================] - 0s 907us/step - loss: 0.5571 Epoch 65/150 77/77 [==============================] - 0s 958us/step - loss: 0.5582 Epoch 66/150 77/77 [==============================] - 0s 933us/step - loss: 0.5563 Epoch 67/150 77/77 [==============================] - 0s 945us/step - loss: 0.5548 Epoch 68/150 77/77 [==============================] - 0s 946us/step - loss: 0.5543 Epoch 69/150 77/77 [==============================] - 0s 958us/step - loss: 0.5538 Epoch 70/150 77/77 [==============================] - 0s 894us/step - loss: 0.5542 Epoch 71/150 77/77 [==============================] - 0s 868us/step - loss: 0.5518 Epoch 72/150 77/77 [==============================] - 0s 894us/step - loss: 0.5543 Epoch 73/150 77/77 [==============================] - 0s 881us/step - loss: 0.5520 Epoch 74/150 77/77 [==============================] - 0s 894us/step - loss: 0.5518 Epoch 75/150 77/77 [==============================] - 0s 842us/step - loss: 0.5524 Epoch 76/150 77/77 [==============================] - 0s 842us/step - loss: 0.5508 Epoch 77/150 77/77 [==============================] - 0s 868us/step - loss: 0.5518 Epoch 78/150 77/77 [==============================] - 0s 816us/step - loss: 0.5503 Epoch 79/150 77/77 [==============================] - 0s 829us/step - loss: 0.5507 Epoch 80/150 77/77 [==============================] - 0s 946us/step - loss: 0.5502 Epoch 81/150 77/77 [==============================] - 0s 842us/step - loss: 0.5497 Epoch 82/150 77/77 [==============================] - 0s 829us/step - loss: 0.5473 Epoch 83/150 77/77 [==============================] - 0s 829us/step - loss: 0.5474 Epoch 84/150 77/77 [==============================] - 0s 855us/step - loss: 0.5461 Epoch 85/150 77/77 [==============================] - 0s 842us/step - loss: 0.5467 Epoch 86/150 77/77 [==============================] - 0s 829us/step - loss: 0.5469 Epoch 87/150 77/77 [==============================] - 0s 894us/step - loss: 0.5458 Epoch 88/150 77/77 [==============================] - 0s 803us/step - loss: 0.5459 Epoch 89/150 77/77 [==============================] - 0s 855us/step - loss: 0.5460 Epoch 90/150 77/77 [==============================] - 0s 829us/step - loss: 0.5450 Epoch 91/150 77/77 [==============================] - 0s 894us/step - loss: 0.5448 Epoch 92/150 77/77 [==============================] - 0s 790us/step - loss: 0.5438 Epoch 93/150 77/77 [==============================] - 0s 855us/step - loss: 0.5443 Epoch 94/150 77/77 [==============================] - 0s 881us/step - loss: 0.5433 Epoch 95/150 77/77 [==============================] - 0s 894us/step - loss: 0.5429 Epoch 96/150 77/77 [==============================] - 0s 790us/step - loss: 0.5432 Epoch 97/150 77/77 [==============================] - 0s 842us/step - loss: 0.5437 Epoch 98/150 77/77 [==============================] - 0s 855us/step - loss: 0.5418 Epoch 99/150 77/77 [==============================] - 0s 829us/step - loss: 0.5431 Epoch 100/150 77/77 [==============================] - 0s 816us/step - loss: 0.5419 Epoch 101/150 77/77 [==============================] - 0s 842us/step - loss: 0.5430 Epoch 102/150 77/77 [==============================] - 0s 868us/step - loss: 0.5415 Epoch 103/150 77/77 [==============================] - 0s 894us/step - loss: 0.5412 Epoch 104/150 77/77 [==============================] - 0s 829us/step - loss: 0.5411 Epoch 105/150 77/77 [==============================] - 0s 894us/step - loss: 0.5393 Epoch 106/150 77/77 [==============================] - 0s 881us/step - loss: 0.5396 Epoch 107/150 77/77 [==============================] - 0s 842us/step - loss: 0.5401 Epoch 108/150 77/77 [==============================] - 0s 842us/step - loss: 0.5409 Epoch 109/150 77/77 [==============================] - 0s 855us/step - loss: 0.5383 Epoch 110/150 77/77 [==============================] - 0s 816us/step - loss: 0.5386 Epoch 111/150 77/77 [==============================] - 0s 842us/step - loss: 0.5391 Epoch 112/150 77/77 [==============================] - 0s 842us/step - loss: 0.5404 Epoch 113/150 77/77 [==============================] - 0s 855us/step - loss: 0.5358 Epoch 114/150 77/77 [==============================] - 0s 842us/step - loss: 0.5375 Epoch 115/150 77/77 [==============================] - 0s 816us/step - loss: 0.5393 Epoch 116/150 77/77 [==============================] - 0s 920us/step - loss: 0.5356 Epoch 117/150 77/77 [==============================] - 0s 868us/step - loss: 0.5362 Epoch 118/150 77/77 [==============================] - 0s 816us/step - loss: 0.5346 Epoch 119/150 77/77 [==============================] - 0s 829us/step - loss: 0.5357 Epoch 120/150 77/77 [==============================] - 0s 842us/step - loss: 0.5360 Epoch 121/150 77/77 [==============================] - 0s 842us/step - loss: 0.5344 Epoch 122/150 77/77 [==============================] - 0s 842us/step - loss: 0.5347 Epoch 123/150 77/77 [==============================] - 0s 829us/step - loss: 0.5332 Epoch 124/150 77/77 [==============================] - 0s 816us/step - loss: 0.5327 Epoch 125/150 77/77 [==============================] - 0s 881us/step - loss: 0.5324 Epoch 126/150 77/77 [==============================] - 0s 855us/step - loss: 0.5326 Epoch 127/150 77/77 [==============================] - 0s 829us/step - loss: 0.5333 Epoch 128/150 77/77 [==============================] - 0s 855us/step - loss: 0.5318 Epoch 129/150 77/77 [==============================] - 0s 894us/step - loss: 0.5300 Epoch 130/150 77/77 [==============================] - 0s 855us/step - loss: 0.5301 Epoch 131/150 77/77 [==============================] - 0s 868us/step - loss: 0.5315 Epoch 132/150 77/77 [==============================] - 0s 868us/step - loss: 0.5369 Epoch 133/150 77/77 [==============================] - 0s 842us/step - loss: 0.5293 Epoch 134/150 77/77 [==============================] - 0s 842us/step - loss: 0.5278 Epoch 135/150 77/77 [==============================] - 0s 842us/step - loss: 0.5278 Epoch 136/150 77/77 [==============================] - 0s 868us/step - loss: 0.5289 Epoch 137/150 77/77 [==============================] - 0s 845us/step - loss: 0.5273 Epoch 138/150 77/77 [==============================] - 0s 868us/step - loss: 0.5273 Epoch 139/150 77/77 [==============================] - 0s 803us/step - loss: 0.5281 Epoch 140/150 77/77 [==============================] - 0s 842us/step - loss: 0.5258 Epoch 141/150 77/77 [==============================] - 0s 881us/step - loss: 0.5266 Epoch 142/150 77/77 [==============================] - 0s 816us/step - loss: 0.5258 Epoch 143/150 77/77 [==============================] - 0s 842us/step - loss: 0.5248 Epoch 144/150 77/77 [==============================] - 0s 842us/step - loss: 0.5252 Epoch 145/150 77/77 [==============================] - 0s 842us/step - loss: 0.5213 Epoch 146/150 77/77 [==============================] - 0s 868us/step - loss: 0.5227 Epoch 147/150 77/77 [==============================] - 0s 816us/step - loss: 0.5239 Epoch 148/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5200 Epoch 149/150 77/77 [==============================] - 0s 933us/step - loss: 0.5232 Epoch 150/150 77/77 [==============================] - 0s 907us/step - loss: 0.5187 ###################################################################### Accuracy: 70.18186578449411 Epoch 1/150 77/77 [==============================] - 0s 1ms/step - loss: 0.9753 Epoch 2/150 77/77 [==============================] - 0s 829us/step - loss: 0.9347 Epoch 3/150 77/77 [==============================] - 0s 842us/step - loss: 0.8003 Epoch 4/150 77/77 [==============================] - 0s 855us/step - loss: 0.6477 Epoch 5/150 77/77 [==============================] - 0s 829us/step - loss: 0.6192 Epoch 6/150 77/77 [==============================] - 0s 829us/step - loss: 0.6105 Epoch 7/150 77/77 [==============================] - 0s 842us/step - loss: 0.6032 Epoch 8/150 77/77 [==============================] - 0s 829us/step - loss: 0.6001 Epoch 9/150 77/77 [==============================] - 0s 868us/step - loss: 0.5965 Epoch 10/150 77/77 [==============================] - 0s 842us/step - loss: 0.5920 Epoch 11/150 77/77 [==============================] - 0s 842us/step - loss: 0.5923 Epoch 12/150 77/77 [==============================] - 0s 907us/step - loss: 0.5834 Epoch 13/150 77/77 [==============================] - 0s 842us/step - loss: 0.5821 Epoch 14/150 77/77 [==============================] - 0s 842us/step - loss: 0.5795 Epoch 15/150 77/77 [==============================] - 0s 829us/step - loss: 0.5751 Epoch 16/150 77/77 [==============================] - 0s 816us/step - loss: 0.5741 Epoch 17/150 77/77 [==============================] - 0s 855us/step - loss: 0.5703 Epoch 18/150 77/77 [==============================] - 0s 855us/step - loss: 0.5691 Epoch 19/150 77/77 [==============================] - 0s 855us/step - loss: 0.5669 Epoch 20/150 77/77 [==============================] - 0s 829us/step - loss: 0.5661 Epoch 21/150 77/77 [==============================] - 0s 829us/step - loss: 0.5645 Epoch 22/150 77/77 [==============================] - 0s 803us/step - loss: 0.5621 Epoch 23/150 77/77 [==============================] - 0s 881us/step - loss: 0.5603 Epoch 24/150 77/77 [==============================] - 0s 894us/step - loss: 0.5616 Epoch 25/150 77/77 [==============================] - 0s 816us/step - loss: 0.5610 Epoch 26/150 77/77 [==============================] - 0s 829us/step - loss: 0.5581 Epoch 27/150 77/77 [==============================] - 0s 868us/step - loss: 0.5564 Epoch 28/150 77/77 [==============================] - 0s 829us/step - loss: 0.5559 Epoch 29/150 77/77 [==============================] - 0s 842us/step - loss: 0.5555 Epoch 30/150 77/77 [==============================] - 0s 829us/step - loss: 0.5549 Epoch 31/150 77/77 [==============================] - 0s 829us/step - loss: 0.5541 Epoch 32/150 77/77 [==============================] - 0s 894us/step - loss: 0.5517 Epoch 33/150 77/77 [==============================] - 0s 842us/step - loss: 0.5527 Epoch 34/150 77/77 [==============================] - 0s 842us/step - loss: 0.5517 Epoch 35/150 77/77 [==============================] - 0s 829us/step - loss: 0.5503 Epoch 36/150 77/77 [==============================] - 0s 829us/step - loss: 0.5512 Epoch 37/150 77/77 [==============================] - 0s 868us/step - loss: 0.5504 Epoch 38/150 77/77 [==============================] - 0s 855us/step - loss: 0.5488 Epoch 39/150 77/77 [==============================] - 0s 829us/step - loss: 0.5481 Epoch 40/150 77/77 [==============================] - 0s 881us/step - loss: 0.5473 Epoch 41/150 77/77 [==============================] - 0s 816us/step - loss: 0.5475 Epoch 42/150 77/77 [==============================] - 0s 868us/step - loss: 0.5481 Epoch 43/150 77/77 [==============================] - 0s 855us/step - loss: 0.5456 Epoch 44/150 77/77 [==============================] - 0s 842us/step - loss: 0.5463 Epoch 45/150 77/77 [==============================] - 0s 868us/step - loss: 0.5454 Epoch 46/150 77/77 [==============================] - 0s 855us/step - loss: 0.5440 Epoch 47/150 77/77 [==============================] - 0s 868us/step - loss: 0.5448 Epoch 48/150 77/77 [==============================] - 0s 881us/step - loss: 0.5421 Epoch 49/150 77/77 [==============================] - 0s 829us/step - loss: 0.5423 Epoch 50/150 77/77 [==============================] - 0s 881us/step - loss: 0.5409 Epoch 51/150 77/77 [==============================] - 0s 907us/step - loss: 0.5410 Epoch 52/150 77/77 [==============================] - 0s 894us/step - loss: 0.5411 Epoch 53/150 77/77 [==============================] - 0s 829us/step - loss: 0.5407 Epoch 54/150 77/77 [==============================] - 0s 829us/step - loss: 0.5406 Epoch 55/150 77/77 [==============================] - 0s 868us/step - loss: 0.5391 Epoch 56/150 77/77 [==============================] - 0s 855us/step - loss: 0.5376 Epoch 57/150 77/77 [==============================] - 0s 842us/step - loss: 0.5390 Epoch 58/150 77/77 [==============================] - 0s 958us/step - loss: 0.5373 Epoch 59/150 77/77 [==============================] - 0s 816us/step - loss: 0.5366 Epoch 60/150 77/77 [==============================] - 0s 855us/step - loss: 0.5378 Epoch 61/150 77/77 [==============================] - 0s 842us/step - loss: 0.5382 Epoch 62/150 77/77 [==============================] - 0s 829us/step - loss: 0.5352 Epoch 63/150 77/77 [==============================] - 0s 855us/step - loss: 0.5351 Epoch 64/150 77/77 [==============================] - 0s 842us/step - loss: 0.5341 Epoch 65/150 77/77 [==============================] - 0s 829us/step - loss: 0.5374 Epoch 66/150 77/77 [==============================] - 0s 855us/step - loss: 0.5329 Epoch 67/150 77/77 [==============================] - 0s 881us/step - loss: 0.5364 Epoch 68/150 77/77 [==============================] - 0s 997us/step - loss: 0.5320 Epoch 69/150 77/77 [==============================] - 0s 842us/step - loss: 0.5330 Epoch 70/150 77/77 [==============================] - 0s 881us/step - loss: 0.5318 Epoch 71/150 77/77 [==============================] - 0s 946us/step - loss: 0.5313 Epoch 72/150 77/77 [==============================] - 0s 920us/step - loss: 0.5326 Epoch 73/150 77/77 [==============================] - 0s 971us/step - loss: 0.5319 Epoch 74/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5292 Epoch 75/150 77/77 [==============================] - 0s 984us/step - loss: 0.5293 Epoch 76/150 77/77 [==============================] - 0s 946us/step - loss: 0.5288 Epoch 77/150 77/77 [==============================] - 0s 920us/step - loss: 0.5288 Epoch 78/150 77/77 [==============================] - 0s 958us/step - loss: 0.5300 Epoch 79/150 77/77 [==============================] - 0s 946us/step - loss: 0.5277 Epoch 80/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5283 Epoch 81/150 77/77 [==============================] - 0s 984us/step - loss: 0.5269 Epoch 82/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5268 Epoch 83/150 77/77 [==============================] - 0s 946us/step - loss: 0.5258 Epoch 84/150 77/77 [==============================] - 0s 971us/step - loss: 0.5262 Epoch 85/150 77/77 [==============================] - 0s 971us/step - loss: 0.5269 Epoch 86/150 77/77 [==============================] - 0s 971us/step - loss: 0.5248 Epoch 87/150 77/77 [==============================] - 0s 946us/step - loss: 0.5254 Epoch 88/150 77/77 [==============================] - 0s 971us/step - loss: 0.5246 Epoch 89/150 77/77 [==============================] - 0s 971us/step - loss: 0.5268 Epoch 90/150 77/77 [==============================] - 0s 958us/step - loss: 0.5243 Epoch 91/150 77/77 [==============================] - 0s 997us/step - loss: 0.5268 Epoch 92/150 77/77 [==============================] - 0s 868us/step - loss: 0.5239 Epoch 93/150 77/77 [==============================] - 0s 868us/step - loss: 0.5227 Epoch 94/150 77/77 [==============================] - 0s 881us/step - loss: 0.5250 Epoch 95/150 77/77 [==============================] - 0s 855us/step - loss: 0.5231 Epoch 96/150 77/77 [==============================] - 0s 842us/step - loss: 0.5229 Epoch 97/150 77/77 [==============================] - 0s 881us/step - loss: 0.5222 Epoch 98/150 77/77 [==============================] - 0s 907us/step - loss: 0.5203 Epoch 99/150 77/77 [==============================] - 0s 881us/step - loss: 0.5222 Epoch 100/150 77/77 [==============================] - 0s 855us/step - loss: 0.5206 Epoch 101/150 77/77 [==============================] - 0s 855us/step - loss: 0.5206 Epoch 102/150 77/77 [==============================] - 0s 894us/step - loss: 0.5192 Epoch 103/150 77/77 [==============================] - 0s 842us/step - loss: 0.5223 Epoch 104/150 77/77 [==============================] - 0s 842us/step - loss: 0.5188 Epoch 105/150 77/77 [==============================] - 0s 855us/step - loss: 0.5176 Epoch 106/150 77/77 [==============================] - 0s 829us/step - loss: 0.5180 Epoch 107/150 77/77 [==============================] - 0s 868us/step - loss: 0.5181 Epoch 108/150 77/77 [==============================] - 0s 842us/step - loss: 0.5167 Epoch 109/150 77/77 [==============================] - 0s 894us/step - loss: 0.5167 Epoch 110/150 77/77 [==============================] - 0s 855us/step - loss: 0.5168 Epoch 111/150 77/77 [==============================] - 0s 881us/step - loss: 0.5179 Epoch 112/150 77/77 [==============================] - 0s 933us/step - loss: 0.5252 Epoch 113/150 77/77 [==============================] - 0s 933us/step - loss: 0.5191 Epoch 114/150 77/77 [==============================] - 0s 971us/step - loss: 0.5157 Epoch 115/150 77/77 [==============================] - 0s 945us/step - loss: 0.5144 Epoch 116/150 77/77 [==============================] - 0s 920us/step - loss: 0.5175 Epoch 117/150 77/77 [==============================] - 0s 971us/step - loss: 0.5138 Epoch 118/150 77/77 [==============================] - 0s 984us/step - loss: 0.5157 Epoch 119/150 77/77 [==============================] - 0s 958us/step - loss: 0.5148 Epoch 120/150 77/77 [==============================] - 0s 946us/step - loss: 0.5151 Epoch 121/150 77/77 [==============================] - 0s 842us/step - loss: 0.5152 Epoch 122/150 77/77 [==============================] - 0s 933us/step - loss: 0.5145 Epoch 123/150 77/77 [==============================] - 0s 855us/step - loss: 0.5133 Epoch 124/150 77/77 [==============================] - 0s 881us/step - loss: 0.5132 Epoch 125/150 77/77 [==============================] - 0s 855us/step - loss: 0.5123 Epoch 126/150 77/77 [==============================] - 0s 829us/step - loss: 0.5124 Epoch 127/150 77/77 [==============================] - 0s 842us/step - loss: 0.5132 Epoch 128/150 77/77 [==============================] - 0s 842us/step - loss: 0.5126 Epoch 129/150 77/77 [==============================] - 0s 842us/step - loss: 0.5125 Epoch 130/150 77/77 [==============================] - 0s 829us/step - loss: 0.5140 Epoch 131/150 77/77 [==============================] - 0s 842us/step - loss: 0.5151 Epoch 132/150 77/77 [==============================] - 0s 842us/step - loss: 0.5123 Epoch 133/150 77/77 [==============================] - 0s 816us/step - loss: 0.5099 Epoch 134/150 77/77 [==============================] - 0s 868us/step - loss: 0.5078 Epoch 135/150 77/77 [==============================] - 0s 855us/step - loss: 0.5065 Epoch 136/150 77/77 [==============================] - 0s 829us/step - loss: 0.5072 Epoch 137/150 77/77 [==============================] - 0s 946us/step - loss: 0.5070 Epoch 138/150 77/77 [==============================] - 0s 868us/step - loss: 0.5060 Epoch 139/150 77/77 [==============================] - 0s 842us/step - loss: 0.5081 Epoch 140/150 77/77 [==============================] - 0s 829us/step - loss: 0.5061 Epoch 141/150 77/77 [==============================] - 0s 842us/step - loss: 0.5036 Epoch 142/150 77/77 [==============================] - 0s 868us/step - loss: 0.5049 Epoch 143/150 77/77 [==============================] - 0s 777us/step - loss: 0.5046 Epoch 144/150 77/77 [==============================] - 0s 803us/step - loss: 0.5024 Epoch 145/150 77/77 [==============================] - 0s 868us/step - loss: 0.5009 Epoch 146/150 77/77 [==============================] - 0s 855us/step - loss: 0.5034 Epoch 147/150 77/77 [==============================] - 0s 881us/step - loss: 0.5021 Epoch 148/150 77/77 [==============================] - 0s 868us/step - loss: 0.4997 Epoch 149/150 77/77 [==============================] - 0s 829us/step - loss: 0.5029 Epoch 150/150 77/77 [==============================] - 0s 855us/step - loss: 0.5003 ###################################################################### Accuracy: 85.75817288253906 Epoch 1/150 77/77 [==============================] - 0s 868us/step - loss: 1.0142 Epoch 2/150 77/77 [==============================] - 0s 933us/step - loss: 0.9333 Epoch 3/150 77/77 [==============================] - 0s 868us/step - loss: 0.7359 Epoch 4/150 77/77 [==============================] - 0s 829us/step - loss: 0.6627 Epoch 5/150 77/77 [==============================] - 0s 868us/step - loss: 0.6488 Epoch 6/150 77/77 [==============================] - 0s 816us/step - loss: 0.6452 Epoch 7/150 77/77 [==============================] - 0s 842us/step - loss: 0.6407 Epoch 8/150 77/77 [==============================] - 0s 894us/step - loss: 0.6359 Epoch 9/150 77/77 [==============================] - 0s 868us/step - loss: 0.6333 Epoch 10/150 77/77 [==============================] - 0s 855us/step - loss: 0.6288 Epoch 11/150 77/77 [==============================] - 0s 894us/step - loss: 0.6257 Epoch 12/150 77/77 [==============================] - 0s 894us/step - loss: 0.6224 Epoch 13/150 77/77 [==============================] - 0s 842us/step - loss: 0.6190 Epoch 14/150 77/77 [==============================] - 0s 855us/step - loss: 0.6174 Epoch 15/150 77/77 [==============================] - 0s 855us/step - loss: 0.6138 Epoch 16/150 77/77 [==============================] - 0s 868us/step - loss: 0.6113 Epoch 17/150 77/77 [==============================] - 0s 855us/step - loss: 0.6097 Epoch 18/150 77/77 [==============================] - 0s 829us/step - loss: 0.6100 Epoch 19/150 77/77 [==============================] - 0s 907us/step - loss: 0.6076 Epoch 20/150 77/77 [==============================] - 0s 881us/step - loss: 0.6052 Epoch 21/150 77/77 [==============================] - 0s 842us/step - loss: 0.6050 Epoch 22/150 77/77 [==============================] - 0s 842us/step - loss: 0.6039 Epoch 23/150 77/77 [==============================] - 0s 868us/step - loss: 0.6001 Epoch 24/150 77/77 [==============================] - 0s 868us/step - loss: 0.6000 Epoch 25/150 77/77 [==============================] - 0s 881us/step - loss: 0.6007 Epoch 26/150 77/77 [==============================] - 0s 842us/step - loss: 0.5983 Epoch 27/150 77/77 [==============================] - 0s 842us/step - loss: 0.5981 Epoch 28/150 77/77 [==============================] - 0s 881us/step - loss: 0.5975 Epoch 29/150 77/77 [==============================] - 0s 868us/step - loss: 0.5970 Epoch 30/150 77/77 [==============================] - 0s 855us/step - loss: 0.5939 Epoch 31/150 77/77 [==============================] - 0s 868us/step - loss: 0.5941 Epoch 32/150 77/77 [==============================] - 0s 868us/step - loss: 0.5919 Epoch 33/150 77/77 [==============================] - 0s 868us/step - loss: 0.5931 Epoch 34/150 77/77 [==============================] - 0s 855us/step - loss: 0.5919 Epoch 35/150 77/77 [==============================] - 0s 894us/step - loss: 0.5886 Epoch 36/150 77/77 [==============================] - 0s 881us/step - loss: 0.5909 Epoch 37/150 77/77 [==============================] - 0s 894us/step - loss: 0.5883 Epoch 38/150 77/77 [==============================] - 0s 855us/step - loss: 0.5870 Epoch 39/150 77/77 [==============================] - 0s 842us/step - loss: 0.5869 Epoch 40/150 77/77 [==============================] - 0s 881us/step - loss: 0.5849 Epoch 41/150 77/77 [==============================] - 0s 868us/step - loss: 0.5848 Epoch 42/150 77/77 [==============================] - 0s 894us/step - loss: 0.5860 Epoch 43/150 77/77 [==============================] - 0s 855us/step - loss: 0.5830 Epoch 44/150 77/77 [==============================] - 0s 855us/step - loss: 0.5825 Epoch 45/150 77/77 [==============================] - 0s 881us/step - loss: 0.5814 Epoch 46/150 77/77 [==============================] - 0s 855us/step - loss: 0.5819 Epoch 47/150 77/77 [==============================] - 0s 842us/step - loss: 0.5776 Epoch 48/150 77/77 [==============================] - 0s 997us/step - loss: 0.5800 Epoch 49/150 77/77 [==============================] - 0s 842us/step - loss: 0.5784 Epoch 50/150 77/77 [==============================] - 0s 842us/step - loss: 0.5775 Epoch 51/150 77/77 [==============================] - 0s 894us/step - loss: 0.5754 Epoch 52/150 77/77 [==============================] - 0s 855us/step - loss: 0.5745 Epoch 53/150 77/77 [==============================] - 0s 855us/step - loss: 0.5762 Epoch 54/150 77/77 [==============================] - 0s 868us/step - loss: 0.5741 Epoch 55/150 77/77 [==============================] - 0s 868us/step - loss: 0.5729 Epoch 56/150 77/77 [==============================] - 0s 855us/step - loss: 0.5727 Epoch 57/150 77/77 [==============================] - 0s 842us/step - loss: 0.5735 Epoch 58/150 77/77 [==============================] - 0s 881us/step - loss: 0.5714 Epoch 59/150 77/77 [==============================] - 0s 907us/step - loss: 0.5701 Epoch 60/150 77/77 [==============================] - 0s 842us/step - loss: 0.5705 Epoch 61/150 77/77 [==============================] - 0s 868us/step - loss: 0.5700 Epoch 62/150 77/77 [==============================] - 0s 881us/step - loss: 0.5679 Epoch 63/150 77/77 [==============================] - 0s 881us/step - loss: 0.5659 Epoch 64/150 77/77 [==============================] - 0s 842us/step - loss: 0.5670 Epoch 65/150 77/77 [==============================] - 0s 868us/step - loss: 0.5671 Epoch 66/150 77/77 [==============================] - 0s 907us/step - loss: 0.5660 Epoch 67/150 77/77 [==============================] - 0s 855us/step - loss: 0.5683 Epoch 68/150 77/77 [==============================] - 0s 933us/step - loss: 0.5630 Epoch 69/150 77/77 [==============================] - 0s 868us/step - loss: 0.5637 Epoch 70/150 77/77 [==============================] - 0s 842us/step - loss: 0.5643 Epoch 71/150 77/77 [==============================] - 0s 855us/step - loss: 0.5630 Epoch 72/150 77/77 [==============================] - 0s 881us/step - loss: 0.5627 Epoch 73/150 77/77 [==============================] - 0s 842us/step - loss: 0.5599 Epoch 74/150 77/77 [==============================] - 0s 855us/step - loss: 0.5626 Epoch 75/150 77/77 [==============================] - 0s 842us/step - loss: 0.5618 Epoch 76/150 77/77 [==============================] - 0s 842us/step - loss: 0.5603 Epoch 77/150 77/77 [==============================] - 0s 881us/step - loss: 0.5585 Epoch 78/150 77/77 [==============================] - 0s 829us/step - loss: 0.5581 Epoch 79/150 77/77 [==============================] - 0s 881us/step - loss: 0.5587 Epoch 80/150 77/77 [==============================] - 0s 803us/step - loss: 0.5602 Epoch 81/150 77/77 [==============================] - 0s 829us/step - loss: 0.5600 Epoch 82/150 77/77 [==============================] - 0s 920us/step - loss: 0.5585 Epoch 83/150 77/77 [==============================] - 0s 842us/step - loss: 0.5561 Epoch 84/150 77/77 [==============================] - 0s 868us/step - loss: 0.5567 Epoch 85/150 77/77 [==============================] - 0s 842us/step - loss: 0.5584 Epoch 86/150 77/77 [==============================] - 0s 868us/step - loss: 0.5558 Epoch 87/150 77/77 [==============================] - 0s 829us/step - loss: 0.5551 Epoch 88/150 77/77 [==============================] - 0s 868us/step - loss: 0.5556 Epoch 89/150 77/77 [==============================] - 0s 790us/step - loss: 0.5547 Epoch 90/150 77/77 [==============================] - 0s 907us/step - loss: 0.5536 Epoch 91/150 77/77 [==============================] - 0s 868us/step - loss: 0.5539 Epoch 92/150 77/77 [==============================] - 0s 855us/step - loss: 0.5586 Epoch 93/150 77/77 [==============================] - 0s 868us/step - loss: 0.5538 Epoch 94/150 77/77 [==============================] - 0s 894us/step - loss: 0.5537 Epoch 95/150 77/77 [==============================] - 0s 842us/step - loss: 0.5513 Epoch 96/150 77/77 [==============================] - 0s 868us/step - loss: 0.5528 Epoch 97/150 77/77 [==============================] - 0s 881us/step - loss: 0.5533 Epoch 98/150 77/77 [==============================] - 0s 829us/step - loss: 0.5525 Epoch 99/150 77/77 [==============================] - 0s 829us/step - loss: 0.5511 Epoch 100/150 77/77 [==============================] - 0s 855us/step - loss: 0.5509 Epoch 101/150 77/77 [==============================] - 0s 855us/step - loss: 0.5488 Epoch 102/150 77/77 [==============================] - 0s 868us/step - loss: 0.5551 Epoch 103/150 77/77 [==============================] - 0s 868us/step - loss: 0.5497 Epoch 104/150 77/77 [==============================] - 0s 855us/step - loss: 0.5504 Epoch 105/150 77/77 [==============================] - 0s 881us/step - loss: 0.5524 Epoch 106/150 77/77 [==============================] - 0s 842us/step - loss: 0.5484 Epoch 107/150 77/77 [==============================] - 0s 881us/step - loss: 0.5481 Epoch 108/150 77/77 [==============================] - 0s 881us/step - loss: 0.5488 Epoch 109/150 77/77 [==============================] - 0s 868us/step - loss: 0.5453 Epoch 110/150 77/77 [==============================] - 0s 855us/step - loss: 0.5524 Epoch 111/150 77/77 [==============================] - 0s 868us/step - loss: 0.5463 Epoch 112/150 77/77 [==============================] - 0s 855us/step - loss: 0.5502 Epoch 113/150 77/77 [==============================] - 0s 868us/step - loss: 0.5465 Epoch 114/150 77/77 [==============================] - 0s 881us/step - loss: 0.5483 Epoch 115/150 77/77 [==============================] - 0s 855us/step - loss: 0.5525 Epoch 116/150 77/77 [==============================] - 0s 894us/step - loss: 0.5464 Epoch 117/150 77/77 [==============================] - 0s 855us/step - loss: 0.5487 Epoch 118/150 77/77 [==============================] - 0s 881us/step - loss: 0.5444 Epoch 119/150 77/77 [==============================] - 0s 855us/step - loss: 0.5478 Epoch 120/150 77/77 [==============================] - 0s 881us/step - loss: 0.5465 Epoch 121/150 77/77 [==============================] - 0s 868us/step - loss: 0.5427 Epoch 122/150 77/77 [==============================] - 0s 855us/step - loss: 0.5447 Epoch 123/150 77/77 [==============================] - 0s 868us/step - loss: 0.5445 Epoch 124/150 77/77 [==============================] - 0s 842us/step - loss: 0.5444 Epoch 125/150 77/77 [==============================] - 0s 855us/step - loss: 0.5448 Epoch 126/150 77/77 [==============================] - 0s 855us/step - loss: 0.5417 Epoch 127/150 77/77 [==============================] - 0s 894us/step - loss: 0.5430 Epoch 128/150 77/77 [==============================] - 0s 855us/step - loss: 0.5394 Epoch 129/150 77/77 [==============================] - 0s 855us/step - loss: 0.5460 Epoch 130/150 77/77 [==============================] - 0s 842us/step - loss: 0.5439 Epoch 131/150 77/77 [==============================] - 0s 855us/step - loss: 0.5426 Epoch 132/150 77/77 [==============================] - 0s 855us/step - loss: 0.5395 Epoch 133/150 77/77 [==============================] - 0s 803us/step - loss: 0.5424 Epoch 134/150 77/77 [==============================] - 0s 881us/step - loss: 0.5408 Epoch 135/150 77/77 [==============================] - 0s 881us/step - loss: 0.5428 Epoch 136/150 77/77 [==============================] - 0s 816us/step - loss: 0.5420 Epoch 137/150 77/77 [==============================] - 0s 803us/step - loss: 0.5407 Epoch 138/150 77/77 [==============================] - 0s 816us/step - loss: 0.5406 Epoch 139/150 77/77 [==============================] - 0s 894us/step - loss: 0.5398 Epoch 140/150 77/77 [==============================] - 0s 881us/step - loss: 0.5391 Epoch 141/150 77/77 [==============================] - 0s 855us/step - loss: 0.5420 Epoch 142/150 77/77 [==============================] - 0s 907us/step - loss: 0.5398 Epoch 143/150 77/77 [==============================] - 0s 855us/step - loss: 0.5376 Epoch 144/150 77/77 [==============================] - 0s 803us/step - loss: 0.5387 Epoch 145/150 77/77 [==============================] - 0s 881us/step - loss: 0.5397 Epoch 146/150 77/77 [==============================] - 0s 855us/step - loss: 0.5378 Epoch 147/150 77/77 [==============================] - 0s 855us/step - loss: 0.5427 Epoch 148/150 77/77 [==============================] - 0s 855us/step - loss: 0.5385 Epoch 149/150 77/77 [==============================] - 0s 868us/step - loss: 0.5397 Epoch 150/150 77/77 [==============================] - 0s 868us/step - loss: 0.5363 ###################################################################### Accuracy: 74.69199612806335 Epoch 1/150 77/77 [==============================] - 0s 1ms/step - loss: 0.9968 Epoch 2/150 77/77 [==============================] - 0s 868us/step - loss: 0.9020 Epoch 3/150 77/77 [==============================] - 0s 829us/step - loss: 0.7096 Epoch 4/150 77/77 [==============================] - 0s 881us/step - loss: 0.6456 Epoch 5/150 77/77 [==============================] - 0s 842us/step - loss: 0.6353 Epoch 6/150 77/77 [==============================] - 0s 894us/step - loss: 0.6294 Epoch 7/150 77/77 [==============================] - 0s 971us/step - loss: 0.6240 Epoch 8/150 77/77 [==============================] - 0s 946us/step - loss: 0.6197 Epoch 9/150 77/77 [==============================] - 0s 971us/step - loss: 0.6166 Epoch 10/150 77/77 [==============================] - 0s 1ms/step - loss: 0.6162 Epoch 11/150 77/77 [==============================] - 0s 829us/step - loss: 0.6136 Epoch 12/150 77/77 [==============================] - 0s 971us/step - loss: 0.6101 Epoch 13/150 77/77 [==============================] - 0s 920us/step - loss: 0.6062 Epoch 14/150 77/77 [==============================] - 0s 894us/step - loss: 0.6036 Epoch 15/150 77/77 [==============================] - 0s 894us/step - loss: 0.6008 Epoch 16/150 77/77 [==============================] - 0s 997us/step - loss: 0.5982 Epoch 17/150 77/77 [==============================] - 0s 958us/step - loss: 0.5964 Epoch 18/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5946 Epoch 19/150 77/77 [==============================] - 0s 739us/step - loss: 0.5935 Epoch 20/150 77/77 [==============================] - 0s 872us/step - loss: 0.5913 Epoch 21/150 77/77 [==============================] - 0s 907us/step - loss: 0.5900 Epoch 22/150 77/77 [==============================] - 0s 971us/step - loss: 0.5874 Epoch 23/150 77/77 [==============================] - 0s 553us/step - loss: 0.5846 Epoch 24/150 77/77 [==============================] - 0s 609us/step - loss: 0.5847 Epoch 25/150 77/77 [==============================] - 0s 812us/step - loss: 0.5820 Epoch 26/150 77/77 [==============================] - 0s 811us/step - loss: 0.5793 Epoch 27/150 77/77 [==============================] - 0s 811us/step - loss: 0.5785 Epoch 28/150 77/77 [==============================] - 0s 811us/step - loss: 0.5785 Epoch 29/150 77/77 [==============================] - 0s 609us/step - loss: 0.5759 Epoch 30/150 77/77 [==============================] - 0s 812us/step - loss: 0.5766 Epoch 31/150 77/77 [==============================] - 0s 811us/step - loss: 0.5722 Epoch 32/150 77/77 [==============================] - 0s 994us/step - loss: 0.5712 Epoch 33/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5712 Epoch 34/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5696 Epoch 35/150 77/77 [==============================] - 0s 907us/step - loss: 0.5686 Epoch 36/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5693 Epoch 37/150 77/77 [==============================] - 0s 920us/step - loss: 0.5671 Epoch 38/150 77/77 [==============================] - 0s 842us/step - loss: 0.5652 Epoch 39/150 77/77 [==============================] - 0s 868us/step - loss: 0.5658 Epoch 40/150 77/77 [==============================] - 0s 842us/step - loss: 0.5647 Epoch 41/150 77/77 [==============================] - 0s 855us/step - loss: 0.5643 Epoch 42/150 77/77 [==============================] - 0s 894us/step - loss: 0.5627 Epoch 43/150 77/77 [==============================] - 0s 907us/step - loss: 0.5624 Epoch 44/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5614 Epoch 45/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5609 Epoch 46/150 77/77 [==============================] - 0s 812us/step - loss: 0.5610 Epoch 47/150 77/77 [==============================] - 0s 811us/step - loss: 0.5598 Epoch 48/150 77/77 [==============================] - 0s 811us/step - loss: 0.5605 Epoch 49/150 77/77 [==============================] - 0s 609us/step - loss: 0.5581 Epoch 50/150 77/77 [==============================] - 0s 609us/step - loss: 0.5565 Epoch 51/150 77/77 [==============================] - 0s 812us/step - loss: 0.5562 Epoch 52/150 77/77 [==============================] - 0s 811us/step - loss: 0.5575 Epoch 53/150 77/77 [==============================] - 0s 609us/step - loss: 0.5563 Epoch 54/150 77/77 [==============================] - 0s 812us/step - loss: 0.5562 Epoch 55/150 77/77 [==============================] - 0s 812us/step - loss: 0.5559 Epoch 56/150 77/77 [==============================] - 0s 811us/step - loss: 0.5551 Epoch 57/150 77/77 [==============================] - 0s 841us/step - loss: 0.5532 Epoch 58/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5529 Epoch 59/150 77/77 [==============================] - 0s 946us/step - loss: 0.5529 Epoch 60/150 77/77 [==============================] - 0s 894us/step - loss: 0.5517 Epoch 61/150 77/77 [==============================] - 0s 920us/step - loss: 0.5533 Epoch 62/150 77/77 [==============================] - 0s 997us/step - loss: 0.5525 Epoch 63/150 77/77 [==============================] - 0s 933us/step - loss: 0.5543 Epoch 64/150 77/77 [==============================] - 0s 907us/step - loss: 0.5525 Epoch 65/150 77/77 [==============================] - 0s 868us/step - loss: 0.5507 Epoch 66/150 77/77 [==============================] - 0s 868us/step - loss: 0.5507 Epoch 67/150 77/77 [==============================] - 0s 881us/step - loss: 0.5496 Epoch 68/150 77/77 [==============================] - 0s 868us/step - loss: 0.5502 Epoch 69/150 77/77 [==============================] - 0s 920us/step - loss: 0.5489 Epoch 70/150 77/77 [==============================] - 0s 920us/step - loss: 0.5489 Epoch 71/150 77/77 [==============================] - 0s 881us/step - loss: 0.5526 Epoch 72/150 77/77 [==============================] - 0s 868us/step - loss: 0.5463 Epoch 73/150 77/77 [==============================] - 0s 894us/step - loss: 0.5483 Epoch 74/150 77/77 [==============================] - 0s 868us/step - loss: 0.5469 Epoch 75/150 77/77 [==============================] - 0s 855us/step - loss: 0.5450 Epoch 76/150 77/77 [==============================] - 0s 881us/step - loss: 0.5463 Epoch 77/150 77/77 [==============================] - 0s 894us/step - loss: 0.5456 Epoch 78/150 77/77 [==============================] - 0s 868us/step - loss: 0.5458 Epoch 79/150 77/77 [==============================] - 0s 868us/step - loss: 0.5459 Epoch 80/150 77/77 [==============================] - 0s 881us/step - loss: 0.5455 Epoch 81/150 77/77 [==============================] - 0s 920us/step - loss: 0.5453 Epoch 82/150 77/77 [==============================] - 0s 894us/step - loss: 0.5421 Epoch 83/150 77/77 [==============================] - 0s 894us/step - loss: 0.5436 Epoch 84/150 77/77 [==============================] - 0s 868us/step - loss: 0.5414 Epoch 85/150 77/77 [==============================] - 0s 920us/step - loss: 0.5418 Epoch 86/150 77/77 [==============================] - 0s 894us/step - loss: 0.5420 Epoch 87/150 77/77 [==============================] - 0s 920us/step - loss: 0.5394 Epoch 88/150 77/77 [==============================] - 0s 868us/step - loss: 0.5414 Epoch 89/150 77/77 [==============================] - 0s 907us/step - loss: 0.5394 Epoch 90/150 77/77 [==============================] - 0s 855us/step - loss: 0.5387 Epoch 91/150 77/77 [==============================] - 0s 894us/step - loss: 0.5388 Epoch 92/150 77/77 [==============================] - 0s 894us/step - loss: 0.5409 Epoch 93/150 77/77 [==============================] - 0s 868us/step - loss: 0.5383 Epoch 94/150 77/77 [==============================] - 0s 881us/step - loss: 0.5390 Epoch 95/150 77/77 [==============================] - 0s 868us/step - loss: 0.5382 Epoch 96/150 77/77 [==============================] - 0s 907us/step - loss: 0.5391 Epoch 97/150 77/77 [==============================] - 0s 829us/step - loss: 0.5364 Epoch 98/150 77/77 [==============================] - 0s 894us/step - loss: 0.5395 Epoch 99/150 77/77 [==============================] - 0s 920us/step - loss: 0.5360 Epoch 100/150 77/77 [==============================] - 0s 881us/step - loss: 0.5405 Epoch 101/150 77/77 [==============================] - 0s 829us/step - loss: 0.5359 Epoch 102/150 77/77 [==============================] - 0s 894us/step - loss: 0.5348 Epoch 103/150 77/77 [==============================] - 0s 894us/step - loss: 0.5346 Epoch 104/150 77/77 [==============================] - 0s 881us/step - loss: 0.5331 Epoch 105/150 77/77 [==============================] - 0s 920us/step - loss: 0.5324 Epoch 106/150 77/77 [==============================] - 0s 842us/step - loss: 0.5336 Epoch 107/150 77/77 [==============================] - 0s 829us/step - loss: 0.5313 Epoch 108/150 77/77 [==============================] - 0s 868us/step - loss: 0.5329 Epoch 109/150 77/77 [==============================] - 0s 842us/step - loss: 0.5326 Epoch 110/150 77/77 [==============================] - 0s 907us/step - loss: 0.5318 Epoch 111/150 77/77 [==============================] - 0s 907us/step - loss: 0.5312 Epoch 112/150 77/77 [==============================] - 0s 881us/step - loss: 0.5316 Epoch 113/150 77/77 [==============================] - 0s 842us/step - loss: 0.5311 Epoch 114/150 77/77 [==============================] - 0s 855us/step - loss: 0.5289 Epoch 115/150 77/77 [==============================] - 0s 868us/step - loss: 0.5324 Epoch 116/150 77/77 [==============================] - 0s 894us/step - loss: 0.5300 Epoch 117/150 77/77 [==============================] - 0s 855us/step - loss: 0.5296 Epoch 118/150 77/77 [==============================] - 0s 868us/step - loss: 0.5297 Epoch 119/150 77/77 [==============================] - 0s 881us/step - loss: 0.5292 Epoch 120/150 77/77 [==============================] - 0s 855us/step - loss: 0.5305 Epoch 121/150 77/77 [==============================] - 0s 868us/step - loss: 0.5298 Epoch 122/150 77/77 [==============================] - 0s 881us/step - loss: 0.5284 Epoch 123/150 77/77 [==============================] - 0s 881us/step - loss: 0.5284 Epoch 124/150 77/77 [==============================] - 0s 868us/step - loss: 0.5270 Epoch 125/150 77/77 [==============================] - 0s 894us/step - loss: 0.5262 Epoch 126/150 77/77 [==============================] - 0s 868us/step - loss: 0.5301 Epoch 127/150 77/77 [==============================] - 0s 920us/step - loss: 0.5302 Epoch 128/150 77/77 [==============================] - 0s 842us/step - loss: 0.5272 Epoch 129/150 77/77 [==============================] - 0s 868us/step - loss: 0.5272 Epoch 130/150 77/77 [==============================] - 0s 881us/step - loss: 0.5276 Epoch 131/150 77/77 [==============================] - 0s 868us/step - loss: 0.5243 Epoch 132/150 77/77 [==============================] - 0s 881us/step - loss: 0.5261 Epoch 133/150 77/77 [==============================] - 0s 842us/step - loss: 0.5258 Epoch 134/150 77/77 [==============================] - 0s 855us/step - loss: 0.5243 Epoch 135/150 77/77 [==============================] - 0s 881us/step - loss: 0.5247 Epoch 136/150 77/77 [==============================] - 0s 868us/step - loss: 0.5246 Epoch 137/150 77/77 [==============================] - 0s 920us/step - loss: 0.5239 Epoch 138/150 77/77 [==============================] - 0s 933us/step - loss: 0.5232 Epoch 139/150 77/77 [==============================] - 0s 868us/step - loss: 0.5229 Epoch 140/150 77/77 [==============================] - 0s 907us/step - loss: 0.5220 Epoch 141/150 77/77 [==============================] - 0s 855us/step - loss: 0.5220 Epoch 142/150 77/77 [==============================] - 0s 868us/step - loss: 0.5208 Epoch 143/150 77/77 [==============================] - 0s 894us/step - loss: 0.5255 Epoch 144/150 77/77 [==============================] - 0s 881us/step - loss: 0.5239 Epoch 145/150 77/77 [==============================] - 0s 894us/step - loss: 0.5191 Epoch 146/150 77/77 [==============================] - 0s 803us/step - loss: 0.5198 Epoch 147/150 77/77 [==============================] - 0s 829us/step - loss: 0.5205 Epoch 148/150 77/77 [==============================] - 0s 894us/step - loss: 0.5212 Epoch 149/150 77/77 [==============================] - 0s 855us/step - loss: 0.5204 Epoch 150/150 77/77 [==============================] - 0s 855us/step - loss: 0.5215 ###################################################################### Accuracy: 74.5544534125219 Epoch 1/10 38/38 [==============================] - 0s 1ms/step - loss: 1.0184 Epoch 2/10 38/38 [==============================] - 0s 893us/step - loss: 1.0076 Epoch 3/10 38/38 [==============================] - 0s 892us/step - loss: 0.9607 Epoch 4/10 38/38 [==============================] - 0s 840us/step - loss: 0.8803 Epoch 5/10 38/38 [==============================] - 0s 866us/step - loss: 0.8406 Epoch 6/10 38/38 [==============================] - 0s 709us/step - loss: 0.8188 Epoch 7/10 38/38 [==============================] - 0s 840us/step - loss: 0.7996 Epoch 8/10 38/38 [==============================] - 0s 787us/step - loss: 0.7831 Epoch 9/10 38/38 [==============================] - 0s 840us/step - loss: 0.7683 Epoch 10/10 38/38 [==============================] - 0s 866us/step - loss: 0.7547 ###################################################################### Accuracy: 62.025273197634164 Epoch 1/10 39/39 [==============================] - 0s 1ms/step - loss: 0.9848 Epoch 2/10 39/39 [==============================] - 0s 2ms/step - loss: 0.9724 Epoch 3/10 39/39 [==============================] - 0s 1ms/step - loss: 0.9186 Epoch 4/10 39/39 [==============================] - 0s 1ms/step - loss: 0.8075 Epoch 5/10 39/39 [==============================] - 0s 1ms/step - loss: 0.6999 Epoch 6/10 39/39 [==============================] - 0s 2ms/step - loss: 0.6551 Epoch 7/10 39/39 [==============================] - 0s 1ms/step - loss: 0.6441 Epoch 8/10 39/39 [==============================] - 0s 1ms/step - loss: 0.6409 Epoch 9/10 39/39 [==============================] - 0s 1ms/step - loss: 0.6344 Epoch 10/10 39/39 [==============================] - 0s 997us/step - loss: 0.6325 ###################################################################### Accuracy: 75.56638101561937 Epoch 1/10 39/39 [==============================] - 0s 1ms/step - loss: 0.9742 Epoch 2/10 39/39 [==============================] - 0s 972us/step - loss: 0.9525 Epoch 3/10 39/39 [==============================] - 0s 869us/step - loss: 0.8762 Epoch 4/10 39/39 [==============================] - 0s 895us/step - loss: 0.7720 Epoch 5/10 39/39 [==============================] - 0s 870us/step - loss: 0.7008 Epoch 6/10 39/39 [==============================] - 0s 895us/step - loss: 0.6626 Epoch 7/10 39/39 [==============================] - 0s 921us/step - loss: 0.6392 Epoch 8/10 39/39 [==============================] - 0s 869us/step - loss: 0.6249 Epoch 9/10 39/39 [==============================] - 0s 921us/step - loss: 0.6172 Epoch 10/10 39/39 [==============================] - 0s 997us/step - loss: 0.6147 ###################################################################### Accuracy: 89.56980255485536 Epoch 1/10 39/39 [==============================] - 0s 945us/step - loss: 1.0178 Epoch 2/10 39/39 [==============================] - 0s 921us/step - loss: 1.0038 Epoch 3/10 39/39 [==============================] - 0s 870us/step - loss: 0.9428 Epoch 4/10 39/39 [==============================] - 0s 844us/step - loss: 0.8273 Epoch 5/10 39/39 [==============================] - 0s 972us/step - loss: 0.7153 Epoch 6/10 39/39 [==============================] - 0s 1ms/step - loss: 0.6627 Epoch 7/10 39/39 [==============================] - 0s 921us/step - loss: 0.6485 Epoch 8/10 39/39 [==============================] - 0s 895us/step - loss: 0.6411 Epoch 9/10 39/39 [==============================] - 0s 895us/step - loss: 0.6388 Epoch 10/10 39/39 [==============================] - 0s 895us/step - loss: 0.6366 ###################################################################### Accuracy: 72.53640348346285 Epoch 1/10 39/39 [==============================] - 0s 1ms/step - loss: 1.0020 Epoch 2/10 39/39 [==============================] - 0s 869us/step - loss: 0.9959 Epoch 3/10 39/39 [==============================] - 0s 869us/step - loss: 0.9604 Epoch 4/10 39/39 [==============================] - 0s 844us/step - loss: 0.8591 Epoch 5/10 39/39 [==============================] - 0s 818us/step - loss: 0.7355 Epoch 6/10 39/39 [==============================] - 0s 818us/step - loss: 0.6661 Epoch 7/10 39/39 [==============================] - 0s 869us/step - loss: 0.6447 Epoch 8/10 39/39 [==============================] - 0s 895us/step - loss: 0.6376 Epoch 9/10 39/39 [==============================] - 0s 895us/step - loss: 0.6315 Epoch 10/10 39/39 [==============================] - 0s 895us/step - loss: 0.6260 ###################################################################### Accuracy: 75.60680497793138 Epoch 1/20 38/38 [==============================] - 0s 1ms/step - loss: 1.0189 Epoch 2/20 38/38 [==============================] - 0s 850us/step - loss: 1.0135 Epoch 3/20 38/38 [==============================] - 0s 840us/step - loss: 0.9807 Epoch 4/20 38/38 [==============================] - 0s 892us/step - loss: 0.8978 Epoch 5/20 38/38 [==============================] - 0s 814us/step - loss: 0.8125 Epoch 6/20 38/38 [==============================] - 0s 814us/step - loss: 0.7416 Epoch 7/20 38/38 [==============================] - 0s 814us/step - loss: 0.6862 Epoch 8/20 38/38 [==============================] - 0s 814us/step - loss: 0.6491 Epoch 9/20 38/38 [==============================] - 0s 840us/step - loss: 0.6322 Epoch 10/20 38/38 [==============================] - 0s 866us/step - loss: 0.6225 Epoch 11/20 38/38 [==============================] - 0s 814us/step - loss: 0.6152 Epoch 12/20 38/38 [==============================] - 0s 1ms/step - loss: 0.6098 Epoch 13/20 38/38 [==============================] - 0s 840us/step - loss: 0.6036 Epoch 14/20 38/38 [==============================] - 0s 866us/step - loss: 0.5994 Epoch 15/20 38/38 [==============================] - 0s 1ms/step - loss: 0.5970 Epoch 16/20 38/38 [==============================] - 0s 1ms/step - loss: 0.5911 Epoch 17/20 38/38 [==============================] - 0s 945us/step - loss: 0.5872 Epoch 18/20 38/38 [==============================] - 0s 892us/step - loss: 0.5847 Epoch 19/20 38/38 [==============================] - 0s 787us/step - loss: 0.5810 Epoch 20/20 38/38 [==============================] - 0s 840us/step - loss: 0.5783 ###################################################################### Accuracy: 69.9633629622387 Epoch 1/20 39/39 [==============================] - 0s 1ms/step - loss: 0.9843 Epoch 2/20 39/39 [==============================] - 0s 869us/step - loss: 0.9715 Epoch 3/20 39/39 [==============================] - 0s 911us/step - loss: 0.9370 Epoch 4/20 39/39 [==============================] - 0s 972us/step - loss: 0.8711 Epoch 5/20 39/39 [==============================] - 0s 793us/step - loss: 0.7938 Epoch 6/20 39/39 [==============================] - 0s 844us/step - loss: 0.7254 Epoch 7/20 39/39 [==============================] - 0s 869us/step - loss: 0.6799 Epoch 8/20 39/39 [==============================] - 0s 869us/step - loss: 0.6560 Epoch 9/20 39/39 [==============================] - 0s 895us/step - loss: 0.6408 Epoch 10/20 39/39 [==============================] - 0s 869us/step - loss: 0.6341 Epoch 11/20 39/39 [==============================] - 0s 895us/step - loss: 0.6269 Epoch 12/20 39/39 [==============================] - 0s 869us/step - loss: 0.6225 Epoch 13/20 39/39 [==============================] - 0s 869us/step - loss: 0.6198 Epoch 14/20 39/39 [==============================] - 0s 818us/step - loss: 0.6151 Epoch 15/20 39/39 [==============================] - 0s 869us/step - loss: 0.6128 Epoch 16/20 39/39 [==============================] - 0s 946us/step - loss: 0.6099 Epoch 17/20 39/39 [==============================] - 0s 895us/step - loss: 0.6054 Epoch 18/20 39/39 [==============================] - 0s 844us/step - loss: 0.6066 Epoch 19/20 39/39 [==============================] - 0s 869us/step - loss: 0.6024 Epoch 20/20 39/39 [==============================] - 0s 869us/step - loss: 0.6005 ###################################################################### Accuracy: 72.9097036991539 Epoch 1/20 39/39 [==============================] - 0s 1ms/step - loss: 0.9728 Epoch 2/20 39/39 [==============================] - 0s 895us/step - loss: 0.9511 Epoch 3/20 39/39 [==============================] - 0s 895us/step - loss: 0.8832 Epoch 4/20 39/39 [==============================] - 0s 874us/step - loss: 0.7755 Epoch 5/20 39/39 [==============================] - 0s 869us/step - loss: 0.7016 Epoch 6/20 39/39 [==============================] - 0s 844us/step - loss: 0.6596 Epoch 7/20 39/39 [==============================] - 0s 844us/step - loss: 0.6395 Epoch 8/20 39/39 [==============================] - 0s 895us/step - loss: 0.6277 Epoch 9/20 39/39 [==============================] - 0s 895us/step - loss: 0.6237 Epoch 10/20 39/39 [==============================] - 0s 844us/step - loss: 0.6209 Epoch 11/20 39/39 [==============================] - 0s 844us/step - loss: 0.6153 Epoch 12/20 39/39 [==============================] - 0s 844us/step - loss: 0.6122 Epoch 13/20 39/39 [==============================] - 0s 869us/step - loss: 0.6103 Epoch 14/20 39/39 [==============================] - 0s 844us/step - loss: 0.6098 Epoch 15/20 39/39 [==============================] - 0s 869us/step - loss: 0.6070 Epoch 16/20 39/39 [==============================] - 0s 869us/step - loss: 0.6044 Epoch 17/20 39/39 [==============================] - 0s 844us/step - loss: 0.6001 Epoch 18/20 39/39 [==============================] - 0s 869us/step - loss: 0.5992 Epoch 19/20 39/39 [==============================] - 0s 895us/step - loss: 0.5975 Epoch 20/20 39/39 [==============================] - 0s 1ms/step - loss: 0.5958 ###################################################################### Accuracy: 89.08371859150722 Epoch 1/20 39/39 [==============================] - 0s 959us/step - loss: 1.0170 Epoch 2/20 39/39 [==============================] - 0s 921us/step - loss: 0.9992 Epoch 3/20 39/39 [==============================] - 0s 844us/step - loss: 0.9337 Epoch 4/20 39/39 [==============================] - 0s 895us/step - loss: 0.8126 Epoch 5/20 39/39 [==============================] - 0s 844us/step - loss: 0.7149 Epoch 6/20 39/39 [==============================] - 0s 869us/step - loss: 0.6683 Epoch 7/20 39/39 [==============================] - 0s 869us/step - loss: 0.6522 Epoch 8/20 39/39 [==============================] - 0s 895us/step - loss: 0.6470 Epoch 9/20 39/39 [==============================] - 0s 895us/step - loss: 0.6429 Epoch 10/20 39/39 [==============================] - 0s 844us/step - loss: 0.6401 Epoch 11/20 39/39 [==============================] - 0s 869us/step - loss: 0.6393 Epoch 12/20 39/39 [==============================] - 0s 869us/step - loss: 0.6337 Epoch 13/20 39/39 [==============================] - 0s 895us/step - loss: 0.6327 Epoch 14/20 39/39 [==============================] - 0s 869us/step - loss: 0.6294 Epoch 15/20 39/39 [==============================] - 0s 921us/step - loss: 0.6282 Epoch 16/20 39/39 [==============================] - 0s 946us/step - loss: 0.6252 Epoch 17/20 39/39 [==============================] - 0s 818us/step - loss: 0.6233 Epoch 18/20 39/39 [==============================] - 0s 844us/step - loss: 0.6224 Epoch 19/20 39/39 [==============================] - 0s 844us/step - loss: 0.6204 Epoch 20/20 39/39 [==============================] - 0s 793us/step - loss: 0.6184 ###################################################################### Accuracy: 72.49967968019901 Epoch 1/20 39/39 [==============================] - 0s 1ms/step - loss: 1.0008 Epoch 2/20 39/39 [==============================] - 0s 941us/step - loss: 0.9868 Epoch 3/20 39/39 [==============================] - 0s 844us/step - loss: 0.9383 Epoch 4/20 39/39 [==============================] - 0s 844us/step - loss: 0.8559 Epoch 5/20 39/39 [==============================] - 0s 869us/step - loss: 0.7533 Epoch 6/20 39/39 [==============================] - 0s 895us/step - loss: 0.6798 Epoch 7/20 39/39 [==============================] - 0s 869us/step - loss: 0.6520 Epoch 8/20 39/39 [==============================] - 0s 844us/step - loss: 0.6418 Epoch 9/20 39/39 [==============================] - 0s 895us/step - loss: 0.6370 Epoch 10/20 39/39 [==============================] - 0s 895us/step - loss: 0.6340 Epoch 11/20 39/39 [==============================] - 0s 895us/step - loss: 0.6313 Epoch 12/20 39/39 [==============================] - 0s 972us/step - loss: 0.6278 Epoch 13/20 39/39 [==============================] - 0s 869us/step - loss: 0.6246 Epoch 14/20 39/39 [==============================] - 0s 870us/step - loss: 0.6224 Epoch 15/20 39/39 [==============================] - 0s 793us/step - loss: 0.6203 Epoch 16/20 39/39 [==============================] - 0s 844us/step - loss: 0.6181 Epoch 17/20 39/39 [==============================] - 0s 895us/step - loss: 0.6162 Epoch 18/20 39/39 [==============================] - 0s 844us/step - loss: 0.6129 Epoch 19/20 39/39 [==============================] - 0s 946us/step - loss: 0.6106 Epoch 20/20 39/39 [==============================] - 0s 921us/step - loss: 0.6072 ###################################################################### Accuracy: 73.99244253610084 Epoch 1/50 38/38 [==============================] - 0s 917us/step - loss: 1.0182 Epoch 2/50 38/38 [==============================] - 0s 893us/step - loss: 1.0057 Epoch 3/50 38/38 [==============================] - 0s 877us/step - loss: 0.9436 Epoch 4/50 38/38 [==============================] - 0s 892us/step - loss: 0.8180 Epoch 5/50 38/38 [==============================] - 0s 840us/step - loss: 0.7226 Epoch 6/50 38/38 [==============================] - 0s 919us/step - loss: 0.6748 Epoch 7/50 38/38 [==============================] - 0s 866us/step - loss: 0.6500 Epoch 8/50 38/38 [==============================] - 0s 840us/step - loss: 0.6404 Epoch 9/50 38/38 [==============================] - 0s 840us/step - loss: 0.6342 Epoch 10/50 38/38 [==============================] - 0s 840us/step - loss: 0.6293 Epoch 11/50 38/38 [==============================] - 0s 840us/step - loss: 0.6257 Epoch 12/50 38/38 [==============================] - 0s 840us/step - loss: 0.6239 Epoch 13/50 38/38 [==============================] - 0s 866us/step - loss: 0.6217 Epoch 14/50 38/38 [==============================] - 0s 814us/step - loss: 0.6170 Epoch 15/50 38/38 [==============================] - 0s 787us/step - loss: 0.6181 Epoch 16/50 38/38 [==============================] - 0s 840us/step - loss: 0.6130 Epoch 17/50 38/38 [==============================] - 0s 787us/step - loss: 0.6110 Epoch 18/50 38/38 [==============================] - 0s 814us/step - loss: 0.6084 Epoch 19/50 38/38 [==============================] - 0s 866us/step - loss: 0.6057 Epoch 20/50 38/38 [==============================] - 0s 814us/step - loss: 0.6048 Epoch 21/50 38/38 [==============================] - 0s 814us/step - loss: 0.6022 Epoch 22/50 38/38 [==============================] - 0s 814us/step - loss: 0.6013 Epoch 23/50 38/38 [==============================] - 0s 814us/step - loss: 0.5996 Epoch 24/50 38/38 [==============================] - 0s 840us/step - loss: 0.5976 Epoch 25/50 38/38 [==============================] - 0s 866us/step - loss: 0.5960 Epoch 26/50 38/38 [==============================] - 0s 840us/step - loss: 0.5936 Epoch 27/50 38/38 [==============================] - 0s 814us/step - loss: 0.5926 Epoch 28/50 38/38 [==============================] - 0s 814us/step - loss: 0.5919 Epoch 29/50 38/38 [==============================] - 0s 814us/step - loss: 0.5896 Epoch 30/50 38/38 [==============================] - 0s 892us/step - loss: 0.5881 Epoch 31/50 38/38 [==============================] - 0s 787us/step - loss: 0.5873 Epoch 32/50 38/38 [==============================] - 0s 814us/step - loss: 0.5856 Epoch 33/50 38/38 [==============================] - 0s 840us/step - loss: 0.5845 Epoch 34/50 38/38 [==============================] - 0s 919us/step - loss: 0.5843 Epoch 35/50 38/38 [==============================] - 0s 840us/step - loss: 0.5826 Epoch 36/50 38/38 [==============================] - 0s 840us/step - loss: 0.5815 Epoch 37/50 38/38 [==============================] - 0s 840us/step - loss: 0.5806 Epoch 38/50 38/38 [==============================] - 0s 866us/step - loss: 0.5785 Epoch 39/50 38/38 [==============================] - 0s 866us/step - loss: 0.5778 Epoch 40/50 38/38 [==============================] - 0s 892us/step - loss: 0.5770 Epoch 41/50 38/38 [==============================] - 0s 814us/step - loss: 0.5760 Epoch 42/50 38/38 [==============================] - 0s 840us/step - loss: 0.5782 Epoch 43/50 38/38 [==============================] - 0s 892us/step - loss: 0.5742 Epoch 44/50 38/38 [==============================] - 0s 866us/step - loss: 0.5724 Epoch 45/50 38/38 [==============================] - 0s 866us/step - loss: 0.5717 Epoch 46/50 38/38 [==============================] - 0s 788us/step - loss: 0.5720 Epoch 47/50 38/38 [==============================] - 0s 814us/step - loss: 0.5714 Epoch 48/50 38/38 [==============================] - 0s 866us/step - loss: 0.5694 Epoch 49/50 38/38 [==============================] - 0s 892us/step - loss: 0.5687 Epoch 50/50 38/38 [==============================] - 0s 787us/step - loss: 0.5685 ###################################################################### Accuracy: 70.55744650859899 Epoch 1/50 39/39 [==============================] - 0s 1ms/step - loss: 0.9840 Epoch 2/50 39/39 [==============================] - 0s 895us/step - loss: 0.9719 Epoch 3/50 39/39 [==============================] - 0s 844us/step - loss: 0.9340 Epoch 4/50 39/39 [==============================] - 0s 869us/step - loss: 0.8519 Epoch 5/50 39/39 [==============================] - 0s 921us/step - loss: 0.7361 Epoch 6/50 39/39 [==============================] - 0s 921us/step - loss: 0.6668 Epoch 7/50 39/39 [==============================] - 0s 844us/step - loss: 0.6393 Epoch 8/50 39/39 [==============================] - 0s 767us/step - loss: 0.6305 Epoch 9/50 39/39 [==============================] - 0s 895us/step - loss: 0.6263 Epoch 10/50 39/39 [==============================] - 0s 895us/step - loss: 0.6160 Epoch 11/50 39/39 [==============================] - 0s 895us/step - loss: 0.6129 Epoch 12/50 39/39 [==============================] - 0s 946us/step - loss: 0.6093 Epoch 13/50 39/39 [==============================] - 0s 946us/step - loss: 0.6060 Epoch 14/50 39/39 [==============================] - 0s 869us/step - loss: 0.6029 Epoch 15/50 39/39 [==============================] - 0s 895us/step - loss: 0.6006 Epoch 16/50 39/39 [==============================] - 0s 869us/step - loss: 0.5965 Epoch 17/50 39/39 [==============================] - 0s 895us/step - loss: 0.5938 Epoch 18/50 39/39 [==============================] - 0s 921us/step - loss: 0.5910 Epoch 19/50 39/39 [==============================] - 0s 921us/step - loss: 0.5905 Epoch 20/50 39/39 [==============================] - 0s 869us/step - loss: 0.5877 Epoch 21/50 39/39 [==============================] - 0s 946us/step - loss: 0.5869 Epoch 22/50 39/39 [==============================] - 0s 946us/step - loss: 0.5855 Epoch 23/50 39/39 [==============================] - 0s 946us/step - loss: 0.5821 Epoch 24/50 39/39 [==============================] - 0s 895us/step - loss: 0.5825 Epoch 25/50 39/39 [==============================] - 0s 895us/step - loss: 0.5807 Epoch 26/50 39/39 [==============================] - 0s 895us/step - loss: 0.5782 Epoch 27/50 39/39 [==============================] - 0s 946us/step - loss: 0.5777 Epoch 28/50 39/39 [==============================] - 0s 895us/step - loss: 0.5756 Epoch 29/50 39/39 [==============================] - 0s 921us/step - loss: 0.5742 Epoch 30/50 39/39 [==============================] - 0s 946us/step - loss: 0.5743 Epoch 31/50 39/39 [==============================] - 0s 972us/step - loss: 0.5739 Epoch 32/50 39/39 [==============================] - 0s 844us/step - loss: 0.5746 Epoch 33/50 39/39 [==============================] - 0s 869us/step - loss: 0.5723 Epoch 34/50 39/39 [==============================] - 0s 844us/step - loss: 0.5718 Epoch 35/50 39/39 [==============================] - 0s 895us/step - loss: 0.5714 Epoch 36/50 39/39 [==============================] - 0s 869us/step - loss: 0.5734 Epoch 37/50 39/39 [==============================] - 0s 844us/step - loss: 0.5719 Epoch 38/50 39/39 [==============================] - 0s 895us/step - loss: 0.5695 Epoch 39/50 39/39 [==============================] - 0s 895us/step - loss: 0.5688 Epoch 40/50 39/39 [==============================] - 0s 895us/step - loss: 0.5680 Epoch 41/50 39/39 [==============================] - 0s 921us/step - loss: 0.5721 Epoch 42/50 39/39 [==============================] - 0s 921us/step - loss: 0.5672 Epoch 43/50 39/39 [==============================] - 0s 921us/step - loss: 0.5660 Epoch 44/50 39/39 [==============================] - 0s 844us/step - loss: 0.5660 Epoch 45/50 39/39 [==============================] - 0s 844us/step - loss: 0.5652 Epoch 46/50 39/39 [==============================] - 0s 895us/step - loss: 0.5658 Epoch 47/50 39/39 [==============================] - 0s 946us/step - loss: 0.5643 Epoch 48/50 39/39 [==============================] - 0s 844us/step - loss: 0.5646 Epoch 49/50 39/39 [==============================] - 0s 946us/step - loss: 0.5637 Epoch 50/50 39/39 [==============================] - 0s 946us/step - loss: 0.5650 ###################################################################### Accuracy: 73.30504064299207 Epoch 1/50 39/39 [==============================] - 0s 1ms/step - loss: 0.9707 Epoch 2/50 39/39 [==============================] - 0s 895us/step - loss: 0.9476 Epoch 3/50 39/39 [==============================] - 0s 891us/step - loss: 0.8855 Epoch 4/50 39/39 [==============================] - 0s 895us/step - loss: 0.7729 Epoch 5/50 39/39 [==============================] - 0s 921us/step - loss: 0.6815 Epoch 6/50 39/39 [==============================] - 0s 869us/step - loss: 0.6389 Epoch 7/50 39/39 [==============================] - 0s 844us/step - loss: 0.6300 Epoch 8/50 39/39 [==============================] - 0s 921us/step - loss: 0.6278 Epoch 9/50 39/39 [==============================] - 0s 869us/step - loss: 0.6221 Epoch 10/50 39/39 [==============================] - 0s 895us/step - loss: 0.6202 Epoch 11/50 39/39 [==============================] - 0s 895us/step - loss: 0.6184 Epoch 12/50 39/39 [==============================] - 0s 895us/step - loss: 0.6174 Epoch 13/50 39/39 [==============================] - 0s 895us/step - loss: 0.6146 Epoch 14/50 39/39 [==============================] - 0s 972us/step - loss: 0.6128 Epoch 15/50 39/39 [==============================] - 0s 869us/step - loss: 0.6109 Epoch 16/50 39/39 [==============================] - 0s 895us/step - loss: 0.6090 Epoch 17/50 39/39 [==============================] - 0s 946us/step - loss: 0.6076 Epoch 18/50 39/39 [==============================] - 0s 895us/step - loss: 0.6068 Epoch 19/50 39/39 [==============================] - 0s 869us/step - loss: 0.6052 Epoch 20/50 39/39 [==============================] - 0s 869us/step - loss: 0.6034 Epoch 21/50 39/39 [==============================] - 0s 895us/step - loss: 0.6007 Epoch 22/50 39/39 [==============================] - 0s 895us/step - loss: 0.6024 Epoch 23/50 39/39 [==============================] - 0s 844us/step - loss: 0.6000 Epoch 24/50 39/39 [==============================] - 0s 869us/step - loss: 0.5998 Epoch 25/50 39/39 [==============================] - 0s 921us/step - loss: 0.5977 Epoch 26/50 39/39 [==============================] - 0s 844us/step - loss: 0.5949 Epoch 27/50 39/39 [==============================] - 0s 869us/step - loss: 0.5934 Epoch 28/50 39/39 [==============================] - 0s 895us/step - loss: 0.5940 Epoch 29/50 39/39 [==============================] - 0s 844us/step - loss: 0.5909 Epoch 30/50 39/39 [==============================] - 0s 921us/step - loss: 0.5887 Epoch 31/50 39/39 [==============================] - 0s 869us/step - loss: 0.5865 Epoch 32/50 39/39 [==============================] - 0s 870us/step - loss: 0.5856 Epoch 33/50 39/39 [==============================] - 0s 869us/step - loss: 0.5830 Epoch 34/50 39/39 [==============================] - 0s 895us/step - loss: 0.5809 Epoch 35/50 39/39 [==============================] - 0s 895us/step - loss: 0.5784 Epoch 36/50 39/39 [==============================] - 0s 844us/step - loss: 0.5764 Epoch 37/50 39/39 [==============================] - 0s 869us/step - loss: 0.5753 Epoch 38/50 39/39 [==============================] - 0s 895us/step - loss: 0.5732 Epoch 39/50 39/39 [==============================] - 0s 921us/step - loss: 0.5714 Epoch 40/50 39/39 [==============================] - 0s 2ms/step - loss: 0.5704 Epoch 41/50 39/39 [==============================] - 0s 1ms/step - loss: 0.5694 Epoch 42/50 39/39 [==============================] - 0s 869us/step - loss: 0.5688 Epoch 43/50 39/39 [==============================] - 0s 869us/step - loss: 0.5665 Epoch 44/50 39/39 [==============================] - 0s 844us/step - loss: 0.5674 Epoch 45/50 39/39 [==============================] - 0s 921us/step - loss: 0.5657 Epoch 46/50 39/39 [==============================] - 0s 869us/step - loss: 0.5648 Epoch 47/50 39/39 [==============================] - 0s 895us/step - loss: 0.5646 Epoch 48/50 39/39 [==============================] - 0s 818us/step - loss: 0.5648 Epoch 49/50 39/39 [==============================] - 0s 869us/step - loss: 0.5612 Epoch 50/50 39/39 [==============================] - 0s 895us/step - loss: 0.5634 ###################################################################### Accuracy: 88.86099994033823 Epoch 1/50 39/39 [==============================] - 0s 1ms/step - loss: 1.0170 Epoch 2/50 39/39 [==============================] - 0s 869us/step - loss: 1.0023 Epoch 3/50 39/39 [==============================] - 0s 869us/step - loss: 0.9511 Epoch 4/50 39/39 [==============================] - 0s 921us/step - loss: 0.8477 Epoch 5/50 39/39 [==============================] - 0s 895us/step - loss: 0.7411 Epoch 6/50 39/39 [==============================] - 0s 844us/step - loss: 0.6761 Epoch 7/50 39/39 [==============================] - 0s 921us/step - loss: 0.6602 Epoch 8/50 39/39 [==============================] - 0s 818us/step - loss: 0.6544 Epoch 9/50 39/39 [==============================] - 0s 844us/step - loss: 0.6478 Epoch 10/50 39/39 [==============================] - 0s 895us/step - loss: 0.6478 Epoch 11/50 39/39 [==============================] - 0s 895us/step - loss: 0.6424 Epoch 12/50 39/39 [==============================] - 0s 895us/step - loss: 0.6408 Epoch 13/50 39/39 [==============================] - 0s 921us/step - loss: 0.6393 Epoch 14/50 39/39 [==============================] - 0s 895us/step - loss: 0.6356 Epoch 15/50 39/39 [==============================] - 0s 869us/step - loss: 0.6326 Epoch 16/50 39/39 [==============================] - 0s 869us/step - loss: 0.6303 Epoch 17/50 39/39 [==============================] - 0s 844us/step - loss: 0.6278 Epoch 18/50 39/39 [==============================] - 0s 895us/step - loss: 0.6264 Epoch 19/50 39/39 [==============================] - 0s 895us/step - loss: 0.6244 Epoch 20/50 39/39 [==============================] - 0s 921us/step - loss: 0.6244 Epoch 21/50 39/39 [==============================] - 0s 946us/step - loss: 0.6217 Epoch 22/50 39/39 [==============================] - 0s 895us/step - loss: 0.6188 Epoch 23/50 39/39 [==============================] - 0s 844us/step - loss: 0.6171 Epoch 24/50 39/39 [==============================] - 0s 895us/step - loss: 0.6165 Epoch 25/50 39/39 [==============================] - 0s 869us/step - loss: 0.6152 Epoch 26/50 39/39 [==============================] - 0s 895us/step - loss: 0.6132 Epoch 27/50 39/39 [==============================] - 0s 869us/step - loss: 0.6130 Epoch 28/50 39/39 [==============================] - 0s 895us/step - loss: 0.6113 Epoch 29/50 39/39 [==============================] - 0s 921us/step - loss: 0.6101 Epoch 30/50 39/39 [==============================] - 0s 946us/step - loss: 0.6090 Epoch 31/50 39/39 [==============================] - 0s 921us/step - loss: 0.6077 Epoch 32/50 39/39 [==============================] - 0s 921us/step - loss: 0.6077 Epoch 33/50 39/39 [==============================] - 0s 844us/step - loss: 0.6059 Epoch 34/50 39/39 [==============================] - 0s 844us/step - loss: 0.6066 Epoch 35/50 39/39 [==============================] - 0s 844us/step - loss: 0.6047 Epoch 36/50 39/39 [==============================] - 0s 844us/step - loss: 0.6020 Epoch 37/50 39/39 [==============================] - 0s 869us/step - loss: 0.6023 Epoch 38/50 39/39 [==============================] - 0s 869us/step - loss: 0.6011 Epoch 39/50 39/39 [==============================] - 0s 869us/step - loss: 0.6006 Epoch 40/50 39/39 [==============================] - 0s 869us/step - loss: 0.5979 Epoch 41/50 39/39 [==============================] - 0s 818us/step - loss: 0.5983 Epoch 42/50 39/39 [==============================] - 0s 946us/step - loss: 0.5991 Epoch 43/50 39/39 [==============================] - 0s 869us/step - loss: 0.5963 Epoch 44/50 39/39 [==============================] - 0s 895us/step - loss: 0.5963 Epoch 45/50 39/39 [==============================] - 0s 972us/step - loss: 0.5959 Epoch 46/50 39/39 [==============================] - 0s 818us/step - loss: 0.5940 Epoch 47/50 39/39 [==============================] - 0s 895us/step - loss: 0.5951 Epoch 48/50 39/39 [==============================] - 0s 818us/step - loss: 0.5927 Epoch 49/50 39/39 [==============================] - 0s 818us/step - loss: 0.5919 Epoch 50/50 39/39 [==============================] - 0s 895us/step - loss: 0.5933 ###################################################################### Accuracy: 72.9310655996997 Epoch 1/50 39/39 [==============================] - 0s 1ms/step - loss: 1.0022 Epoch 2/50 39/39 [==============================] - 0s 921us/step - loss: 0.9965 Epoch 3/50 39/39 [==============================] - 0s 869us/step - loss: 0.9655 Epoch 4/50 39/39 [==============================] - 0s 895us/step - loss: 0.9033 Epoch 5/50 39/39 [==============================] - 0s 895us/step - loss: 0.8460 Epoch 6/50 39/39 [==============================] - 0s 895us/step - loss: 0.8180 Epoch 7/50 39/39 [==============================] - 0s 869us/step - loss: 0.7979 Epoch 8/50 39/39 [==============================] - 0s 844us/step - loss: 0.7807 Epoch 9/50 39/39 [==============================] - 0s 869us/step - loss: 0.7654 Epoch 10/50 39/39 [==============================] - 0s 869us/step - loss: 0.7517 Epoch 11/50 39/39 [==============================] - 0s 895us/step - loss: 0.7409 Epoch 12/50 39/39 [==============================] - 0s 869us/step - loss: 0.7293 Epoch 13/50 39/39 [==============================] - 0s 921us/step - loss: 0.7214 Epoch 14/50 39/39 [==============================] - 0s 869us/step - loss: 0.7128 Epoch 15/50 39/39 [==============================] - 0s 869us/step - loss: 0.7061 Epoch 16/50 39/39 [==============================] - 0s 870us/step - loss: 0.6972 Epoch 17/50 39/39 [==============================] - 0s 844us/step - loss: 0.6899 Epoch 18/50 39/39 [==============================] - 0s 895us/step - loss: 0.6831 Epoch 19/50 39/39 [==============================] - 0s 921us/step - loss: 0.6765 Epoch 20/50 39/39 [==============================] - 0s 869us/step - loss: 0.6711 Epoch 21/50 39/39 [==============================] - 0s 869us/step - loss: 0.6652 Epoch 22/50 39/39 [==============================] - 0s 895us/step - loss: 0.6581 Epoch 23/50 39/39 [==============================] - 0s 895us/step - loss: 0.6562 Epoch 24/50 39/39 [==============================] - 0s 869us/step - loss: 0.6489 Epoch 25/50 39/39 [==============================] - 0s 895us/step - loss: 0.6444 Epoch 26/50 39/39 [==============================] - 0s 895us/step - loss: 0.6396 Epoch 27/50 39/39 [==============================] - 0s 895us/step - loss: 0.6381 Epoch 28/50 39/39 [==============================] - 0s 869us/step - loss: 0.6347 Epoch 29/50 39/39 [==============================] - 0s 921us/step - loss: 0.6288 Epoch 30/50 39/39 [==============================] - 0s 844us/step - loss: 0.6284 Epoch 31/50 39/39 [==============================] - 0s 869us/step - loss: 0.6234 Epoch 32/50 39/39 [==============================] - 0s 869us/step - loss: 0.6194 Epoch 33/50 39/39 [==============================] - 0s 946us/step - loss: 0.6192 Epoch 34/50 39/39 [==============================] - 0s 946us/step - loss: 0.6164 Epoch 35/50 39/39 [==============================] - 0s 921us/step - loss: 0.6126 Epoch 36/50 39/39 [==============================] - 0s 895us/step - loss: 0.6170 Epoch 37/50 39/39 [==============================] - 0s 844us/step - loss: 0.6134 Epoch 38/50 39/39 [==============================] - 0s 946us/step - loss: 0.6094 Epoch 39/50 39/39 [==============================] - 0s 895us/step - loss: 0.6070 Epoch 40/50 39/39 [==============================] - 0s 895us/step - loss: 0.6050 Epoch 41/50 39/39 [==============================] - 0s 895us/step - loss: 0.6012 Epoch 42/50 39/39 [==============================] - 0s 869us/step - loss: 0.5997 Epoch 43/50 39/39 [==============================] - 0s 895us/step - loss: 0.5984 Epoch 44/50 39/39 [==============================] - 0s 921us/step - loss: 0.5971 Epoch 45/50 39/39 [==============================] - 0s 921us/step - loss: 0.5951 Epoch 46/50 39/39 [==============================] - 0s 895us/step - loss: 0.5928 Epoch 47/50 39/39 [==============================] - 0s 869us/step - loss: 0.5917 Epoch 48/50 39/39 [==============================] - 0s 921us/step - loss: 0.5942 Epoch 49/50 39/39 [==============================] - 0s 818us/step - loss: 0.5911 Epoch 50/50 39/39 [==============================] - 0s 818us/step - loss: 0.5881 ###################################################################### Accuracy: 76.6475329910678 Epoch 1/100 38/38 [==============================] - 0s 1ms/step - loss: 1.0166 Epoch 2/100 38/38 [==============================] - 0s 866us/step - loss: 0.9986 Epoch 3/100 38/38 [==============================] - 0s 840us/step - loss: 0.9258 Epoch 4/100 38/38 [==============================] - 0s 866us/step - loss: 0.7835 Epoch 5/100 38/38 [==============================] - 0s 840us/step - loss: 0.6698 Epoch 6/100 38/38 [==============================] - 0s 892us/step - loss: 0.6395 Epoch 7/100 38/38 [==============================] - 0s 814us/step - loss: 0.6322 Epoch 8/100 38/38 [==============================] - 0s 840us/step - loss: 0.6240 Epoch 9/100 38/38 [==============================] - 0s 919us/step - loss: 0.6176 Epoch 10/100 38/38 [==============================] - 0s 787us/step - loss: 0.6149 Epoch 11/100 38/38 [==============================] - 0s 787us/step - loss: 0.6106 Epoch 12/100 38/38 [==============================] - 0s 840us/step - loss: 0.6047 Epoch 13/100 38/38 [==============================] - 0s 840us/step - loss: 0.6006 Epoch 14/100 38/38 [==============================] - 0s 866us/step - loss: 0.5976 Epoch 15/100 38/38 [==============================] - 0s 892us/step - loss: 0.5946 Epoch 16/100 38/38 [==============================] - 0s 840us/step - loss: 0.5898 Epoch 17/100 38/38 [==============================] - 0s 892us/step - loss: 0.5876 Epoch 18/100 38/38 [==============================] - 0s 840us/step - loss: 0.5869 Epoch 19/100 38/38 [==============================] - 0s 840us/step - loss: 0.5822 Epoch 20/100 38/38 [==============================] - 0s 814us/step - loss: 0.5799 Epoch 21/100 38/38 [==============================] - 0s 761us/step - loss: 0.5782 Epoch 22/100 38/38 [==============================] - 0s 814us/step - loss: 0.5774 Epoch 23/100 38/38 [==============================] - 0s 814us/step - loss: 0.5756 Epoch 24/100 38/38 [==============================] - 0s 814us/step - loss: 0.5739 Epoch 25/100 38/38 [==============================] - 0s 866us/step - loss: 0.5723 Epoch 26/100 38/38 [==============================] - 0s 892us/step - loss: 0.5701 Epoch 27/100 38/38 [==============================] - 0s 866us/step - loss: 0.5682 Epoch 28/100 38/38 [==============================] - 0s 814us/step - loss: 0.5679 Epoch 29/100 38/38 [==============================] - 0s 866us/step - loss: 0.5666 Epoch 30/100 38/38 [==============================] - 0s 892us/step - loss: 0.5655 Epoch 31/100 38/38 [==============================] - 0s 814us/step - loss: 0.5649 Epoch 32/100 38/38 [==============================] - 0s 814us/step - loss: 0.5641 Epoch 33/100 38/38 [==============================] - 0s 735us/step - loss: 0.5624 Epoch 34/100 38/38 [==============================] - 0s 814us/step - loss: 0.5614 Epoch 35/100 38/38 [==============================] - 0s 787us/step - loss: 0.5598 Epoch 36/100 38/38 [==============================] - 0s 814us/step - loss: 0.5591 Epoch 37/100 38/38 [==============================] - 0s 814us/step - loss: 0.5581 Epoch 38/100 38/38 [==============================] - 0s 814us/step - loss: 0.5567 Epoch 39/100 38/38 [==============================] - 0s 787us/step - loss: 0.5570 Epoch 40/100 38/38 [==============================] - 0s 814us/step - loss: 0.5565 Epoch 41/100 38/38 [==============================] - 0s 866us/step - loss: 0.5546 Epoch 42/100 38/38 [==============================] - 0s 866us/step - loss: 0.5555 Epoch 43/100 38/38 [==============================] - 0s 866us/step - loss: 0.5542 Epoch 44/100 38/38 [==============================] - 0s 814us/step - loss: 0.5533 Epoch 45/100 38/38 [==============================] - 0s 787us/step - loss: 0.5528 Epoch 46/100 38/38 [==============================] - 0s 866us/step - loss: 0.5518 Epoch 47/100 38/38 [==============================] - 0s 814us/step - loss: 0.5515 Epoch 48/100 38/38 [==============================] - 0s 866us/step - loss: 0.5499 Epoch 49/100 38/38 [==============================] - 0s 893us/step - loss: 0.5493 Epoch 50/100 38/38 [==============================] - 0s 866us/step - loss: 0.5487 Epoch 51/100 38/38 [==============================] - 0s 840us/step - loss: 0.5478 Epoch 52/100 38/38 [==============================] - 0s 840us/step - loss: 0.5481 Epoch 53/100 38/38 [==============================] - 0s 814us/step - loss: 0.5491 Epoch 54/100 38/38 [==============================] - 0s 866us/step - loss: 0.5466 Epoch 55/100 38/38 [==============================] - 0s 892us/step - loss: 0.5470 Epoch 56/100 38/38 [==============================] - 0s 840us/step - loss: 0.5461 Epoch 57/100 38/38 [==============================] - 0s 892us/step - loss: 0.5462 Epoch 58/100 38/38 [==============================] - 0s 945us/step - loss: 0.5449 Epoch 59/100 38/38 [==============================] - 0s 840us/step - loss: 0.5440 Epoch 60/100 38/38 [==============================] - 0s 814us/step - loss: 0.5432 Epoch 61/100 38/38 [==============================] - 0s 866us/step - loss: 0.5417 Epoch 62/100 38/38 [==============================] - 0s 840us/step - loss: 0.5409 Epoch 63/100 38/38 [==============================] - 0s 787us/step - loss: 0.5417 Epoch 64/100 38/38 [==============================] - 0s 814us/step - loss: 0.5395 Epoch 65/100 38/38 [==============================] - 0s 840us/step - loss: 0.5395 Epoch 66/100 38/38 [==============================] - 0s 866us/step - loss: 0.5385 Epoch 67/100 38/38 [==============================] - 0s 840us/step - loss: 0.5387 Epoch 68/100 38/38 [==============================] - 0s 761us/step - loss: 0.5372 Epoch 69/100 38/38 [==============================] - 0s 840us/step - loss: 0.5387 Epoch 70/100 38/38 [==============================] - 0s 892us/step - loss: 0.5385 Epoch 71/100 38/38 [==============================] - 0s 787us/step - loss: 0.5374 Epoch 72/100 38/38 [==============================] - 0s 840us/step - loss: 0.5357 Epoch 73/100 38/38 [==============================] - 0s 840us/step - loss: 0.5370 Epoch 74/100 38/38 [==============================] - 0s 840us/step - loss: 0.5366 Epoch 75/100 38/38 [==============================] - 0s 787us/step - loss: 0.5339 Epoch 76/100 38/38 [==============================] - 0s 840us/step - loss: 0.5340 Epoch 77/100 38/38 [==============================] - 0s 840us/step - loss: 0.5355 Epoch 78/100 38/38 [==============================] - 0s 814us/step - loss: 0.5346 Epoch 79/100 38/38 [==============================] - 0s 840us/step - loss: 0.5327 Epoch 80/100 38/38 [==============================] - 0s 866us/step - loss: 0.5324 Epoch 81/100 38/38 [==============================] - 0s 866us/step - loss: 0.5311 Epoch 82/100 38/38 [==============================] - 0s 866us/step - loss: 0.5333 Epoch 83/100 38/38 [==============================] - 0s 840us/step - loss: 0.5310 Epoch 84/100 38/38 [==============================] - 0s 840us/step - loss: 0.5320 Epoch 85/100 38/38 [==============================] - 0s 866us/step - loss: 0.5310 Epoch 86/100 38/38 [==============================] - 0s 840us/step - loss: 0.5314 Epoch 87/100 38/38 [==============================] - 0s 840us/step - loss: 0.5289 Epoch 88/100 38/38 [==============================] - 0s 814us/step - loss: 0.5295 Epoch 89/100 38/38 [==============================] - 0s 787us/step - loss: 0.5291 Epoch 90/100 38/38 [==============================] - 0s 814us/step - loss: 0.5298 Epoch 91/100 38/38 [==============================] - 0s 840us/step - loss: 0.5277 Epoch 92/100 38/38 [==============================] - 0s 866us/step - loss: 0.5267 Epoch 93/100 38/38 [==============================] - 0s 840us/step - loss: 0.5290 Epoch 94/100 38/38 [==============================] - 0s 919us/step - loss: 0.5263 Epoch 95/100 38/38 [==============================] - 0s 866us/step - loss: 0.5278 Epoch 96/100 38/38 [==============================] - 0s 814us/step - loss: 0.5260 Epoch 97/100 38/38 [==============================] - 0s 814us/step - loss: 0.5270 Epoch 98/100 38/38 [==============================] - ETA: 0s - loss: 0.585 - 0s 814us/step - loss: 0.5258 Epoch 99/100 38/38 [==============================] - 0s 866us/step - loss: 0.5259 Epoch 100/100 38/38 [==============================] - 0s 787us/step - loss: 0.5253 ###################################################################### Accuracy: 71.88640277092745 Epoch 1/100 39/39 [==============================] - 0s 1ms/step - loss: 0.9822 Epoch 2/100 39/39 [==============================] - 0s 869us/step - loss: 0.9568 Epoch 3/100 39/39 [==============================] - 0s 793us/step - loss: 0.8803 Epoch 4/100 39/39 [==============================] - 0s 870us/step - loss: 0.7689 Epoch 5/100 39/39 [==============================] - 0s 895us/step - loss: 0.6904 Epoch 6/100 39/39 [==============================] - 0s 895us/step - loss: 0.6544 Epoch 7/100 39/39 [==============================] - 0s 895us/step - loss: 0.6410 Epoch 8/100 39/39 [==============================] - 0s 895us/step - loss: 0.6332 Epoch 9/100 39/39 [==============================] - 0s 895us/step - loss: 0.6273 Epoch 10/100 39/39 [==============================] - 0s 869us/step - loss: 0.6239 Epoch 11/100 39/39 [==============================] - 0s 895us/step - loss: 0.6204 Epoch 12/100 39/39 [==============================] - 0s 869us/step - loss: 0.6164 Epoch 13/100 39/39 [==============================] - 0s 844us/step - loss: 0.6126 Epoch 14/100 39/39 [==============================] - 0s 869us/step - loss: 0.6095 Epoch 15/100 39/39 [==============================] - 0s 895us/step - loss: 0.6058 Epoch 16/100 39/39 [==============================] - 0s 921us/step - loss: 0.6024 Epoch 17/100 39/39 [==============================] - 0s 921us/step - loss: 0.5994 Epoch 18/100 39/39 [==============================] - 0s 869us/step - loss: 0.5955 Epoch 19/100 39/39 [==============================] - 0s 895us/step - loss: 0.5927 Epoch 20/100 39/39 [==============================] - 0s 844us/step - loss: 0.5918 Epoch 21/100 39/39 [==============================] - 0s 844us/step - loss: 0.5881 Epoch 22/100 39/39 [==============================] - 0s 818us/step - loss: 0.5882 Epoch 23/100 39/39 [==============================] - 0s 844us/step - loss: 0.5845 Epoch 24/100 39/39 [==============================] - 0s 869us/step - loss: 0.5841 Epoch 25/100 39/39 [==============================] - 0s 895us/step - loss: 0.5815 Epoch 26/100 39/39 [==============================] - 0s 972us/step - loss: 0.5812 Epoch 27/100 39/39 [==============================] - 0s 921us/step - loss: 0.5784 Epoch 28/100 39/39 [==============================] - 0s 921us/step - loss: 0.5770 Epoch 29/100 39/39 [==============================] - 0s 921us/step - loss: 0.5761 Epoch 30/100 39/39 [==============================] - 0s 844us/step - loss: 0.5748 Epoch 31/100 39/39 [==============================] - 0s 818us/step - loss: 0.5744 Epoch 32/100 39/39 [==============================] - 0s 844us/step - loss: 0.5730 Epoch 33/100 39/39 [==============================] - 0s 793us/step - loss: 0.5711 Epoch 34/100 39/39 [==============================] - 0s 844us/step - loss: 0.5719 Epoch 35/100 39/39 [==============================] - 0s 869us/step - loss: 0.5709 Epoch 36/100 39/39 [==============================] - 0s 921us/step - loss: 0.5691 Epoch 37/100 39/39 [==============================] - 0s 921us/step - loss: 0.5696 Epoch 38/100 39/39 [==============================] - 0s 869us/step - loss: 0.5689 Epoch 39/100 39/39 [==============================] - 0s 895us/step - loss: 0.5675 Epoch 40/100 39/39 [==============================] - 0s 921us/step - loss: 0.5683 Epoch 41/100 39/39 [==============================] - 0s 895us/step - loss: 0.5705 Epoch 42/100 39/39 [==============================] - 0s 895us/step - loss: 0.5656 Epoch 43/100 39/39 [==============================] - 0s 921us/step - loss: 0.5649 Epoch 44/100 39/39 [==============================] - 0s 844us/step - loss: 0.5652 Epoch 45/100 39/39 [==============================] - 0s 844us/step - loss: 0.5644 Epoch 46/100 39/39 [==============================] - 0s 946us/step - loss: 0.5674 Epoch 47/100 39/39 [==============================] - 0s 895us/step - loss: 0.5650 Epoch 48/100 39/39 [==============================] - 0s 921us/step - loss: 0.5645 Epoch 49/100 39/39 [==============================] - 0s 895us/step - loss: 0.5636 Epoch 50/100 39/39 [==============================] - 0s 870us/step - loss: 0.5626 Epoch 51/100 39/39 [==============================] - 0s 869us/step - loss: 0.5624 Epoch 52/100 39/39 [==============================] - 0s 946us/step - loss: 0.5622 Epoch 53/100 39/39 [==============================] - 0s 895us/step - loss: 0.5624 Epoch 54/100 39/39 [==============================] - 0s 869us/step - loss: 0.5623 Epoch 55/100 39/39 [==============================] - 0s 895us/step - loss: 0.5629 Epoch 56/100 39/39 [==============================] - 0s 895us/step - loss: 0.5619 Epoch 57/100 39/39 [==============================] - 0s 895us/step - loss: 0.5616 Epoch 58/100 39/39 [==============================] - 0s 895us/step - loss: 0.5643 Epoch 59/100 39/39 [==============================] - 0s 869us/step - loss: 0.5607 Epoch 60/100 39/39 [==============================] - 0s 844us/step - loss: 0.5603 Epoch 61/100 39/39 [==============================] - 0s 946us/step - loss: 0.5581 Epoch 62/100 39/39 [==============================] - 0s 895us/step - loss: 0.5601 Epoch 63/100 39/39 [==============================] - 0s 921us/step - loss: 0.5627 Epoch 64/100 39/39 [==============================] - 0s 869us/step - loss: 0.5610 Epoch 65/100 39/39 [==============================] - 0s 869us/step - loss: 0.5572 Epoch 66/100 39/39 [==============================] - 0s 946us/step - loss: 0.5577 Epoch 67/100 39/39 [==============================] - 0s 869us/step - loss: 0.5559 Epoch 68/100 39/39 [==============================] - 0s 869us/step - loss: 0.5619 Epoch 69/100 39/39 [==============================] - 0s 869us/step - loss: 0.5580 Epoch 70/100 39/39 [==============================] - 0s 946us/step - loss: 0.5617 Epoch 71/100 39/39 [==============================] - 0s 869us/step - loss: 0.5572 Epoch 72/100 39/39 [==============================] - 0s 869us/step - loss: 0.5558 Epoch 73/100 39/39 [==============================] - 0s 895us/step - loss: 0.5567 Epoch 74/100 39/39 [==============================] - 0s 946us/step - loss: 0.5553 Epoch 75/100 39/39 [==============================] - 0s 972us/step - loss: 0.5548 Epoch 76/100 39/39 [==============================] - 0s 844us/step - loss: 0.5526 Epoch 77/100 39/39 [==============================] - 0s 895us/step - loss: 0.5533 Epoch 78/100 39/39 [==============================] - 0s 921us/step - loss: 0.5520 Epoch 79/100 39/39 [==============================] - 0s 844us/step - loss: 0.5533 Epoch 80/100 39/39 [==============================] - 0s 869us/step - loss: 0.5523 Epoch 81/100 39/39 [==============================] - 0s 921us/step - loss: 0.5519 Epoch 82/100 39/39 [==============================] - 0s 895us/step - loss: 0.5545 Epoch 83/100 39/39 [==============================] - 0s 921us/step - loss: 0.5515 Epoch 84/100 39/39 [==============================] - 0s 921us/step - loss: 0.5513 Epoch 85/100 39/39 [==============================] - 0s 869us/step - loss: 0.5514 Epoch 86/100 39/39 [==============================] - 0s 869us/step - loss: 0.5535 Epoch 87/100 39/39 [==============================] - 0s 895us/step - loss: 0.5513 Epoch 88/100 39/39 [==============================] - 0s 921us/step - loss: 0.5489 Epoch 89/100 39/39 [==============================] - 0s 895us/step - loss: 0.5498 Epoch 90/100 39/39 [==============================] - 0s 972us/step - loss: 0.5521 Epoch 91/100 39/39 [==============================] - 0s 869us/step - loss: 0.5505 Epoch 92/100 39/39 [==============================] - 0s 793us/step - loss: 0.5477 Epoch 93/100 39/39 [==============================] - 0s 844us/step - loss: 0.5478 Epoch 94/100 39/39 [==============================] - 0s 895us/step - loss: 0.5496 Epoch 95/100 39/39 [==============================] - 0s 869us/step - loss: 0.5479 Epoch 96/100 39/39 [==============================] - 0s 895us/step - loss: 0.5474 Epoch 97/100 39/39 [==============================] - 0s 921us/step - loss: 0.5477 Epoch 98/100 39/39 [==============================] - 0s 895us/step - loss: 0.5514 Epoch 99/100 39/39 [==============================] - 0s 895us/step - loss: 0.5480 Epoch 100/100 39/39 [==============================] - 0s 869us/step - loss: 0.5467 ###################################################################### Accuracy: 75.63679144155404 Epoch 1/100 39/39 [==============================] - 0s 934us/step - loss: 0.9762 Epoch 2/100 39/39 [==============================] - 0s 921us/step - loss: 0.9660 Epoch 3/100 39/39 [==============================] - 0s 844us/step - loss: 0.9264 Epoch 4/100 39/39 [==============================] - 0s 845us/step - loss: 0.8455 Epoch 5/100 39/39 [==============================] - 0s 869us/step - loss: 0.7464 Epoch 6/100 39/39 [==============================] - 0s 895us/step - loss: 0.6747 Epoch 7/100 39/39 [==============================] - 0s 870us/step - loss: 0.6423 Epoch 8/100 39/39 [==============================] - 0s 946us/step - loss: 0.6326 Epoch 9/100 39/39 [==============================] - 0s 869us/step - loss: 0.6285 Epoch 10/100 39/39 [==============================] - 0s 869us/step - loss: 0.6276 Epoch 11/100 39/39 [==============================] - 0s 818us/step - loss: 0.6242 Epoch 12/100 39/39 [==============================] - 0s 818us/step - loss: 0.6226 Epoch 13/100 39/39 [==============================] - ETA: 0s - loss: 0.256 - 0s 895us/step - loss: 0.6205 Epoch 14/100 39/39 [==============================] - 0s 869us/step - loss: 0.6167 Epoch 15/100 39/39 [==============================] - 0s 869us/step - loss: 0.6159 Epoch 16/100 39/39 [==============================] - 0s 946us/step - loss: 0.6147 Epoch 17/100 39/39 [==============================] - 0s 895us/step - loss: 0.6108 Epoch 18/100 39/39 [==============================] - 0s 818us/step - loss: 0.6086 Epoch 19/100 39/39 [==============================] - 0s 844us/step - loss: 0.6057 Epoch 20/100 39/39 [==============================] - 0s 818us/step - loss: 0.6036 Epoch 21/100 39/39 [==============================] - 0s 767us/step - loss: 0.5993 Epoch 22/100 39/39 [==============================] - 0s 844us/step - loss: 0.5990 Epoch 23/100 39/39 [==============================] - 0s 895us/step - loss: 0.5957 Epoch 24/100 39/39 [==============================] - 0s 869us/step - loss: 0.5934 Epoch 25/100 39/39 [==============================] - 0s 869us/step - loss: 0.5924 Epoch 26/100 39/39 [==============================] - 0s 869us/step - loss: 0.5899 Epoch 27/100 39/39 [==============================] - 0s 921us/step - loss: 0.5887 Epoch 28/100 39/39 [==============================] - 0s 1ms/step - loss: 0.5875 Epoch 29/100 39/39 [==============================] - 0s 921us/step - loss: 0.5838 Epoch 30/100 39/39 [==============================] - 0s 895us/step - loss: 0.5819 Epoch 31/100 39/39 [==============================] - 0s 818us/step - loss: 0.5810 Epoch 32/100 39/39 [==============================] - 0s 793us/step - loss: 0.5814 Epoch 33/100 39/39 [==============================] - 0s 921us/step - loss: 0.5781 Epoch 34/100 39/39 [==============================] - 0s 946us/step - loss: 0.5764 Epoch 35/100 39/39 [==============================] - 0s 946us/step - loss: 0.5746 Epoch 36/100 39/39 [==============================] - 0s 895us/step - loss: 0.5744 Epoch 37/100 39/39 [==============================] - 0s 972us/step - loss: 0.5738 Epoch 38/100 39/39 [==============================] - 0s 1ms/step - loss: 0.5725 Epoch 39/100 39/39 [==============================] - 0s 869us/step - loss: 0.5712 Epoch 40/100 39/39 [==============================] - 0s 818us/step - loss: 0.5715 Epoch 41/100 39/39 [==============================] - 0s 844us/step - loss: 0.5687 Epoch 42/100 39/39 [==============================] - 0s 895us/step - loss: 0.5669 Epoch 43/100 39/39 [==============================] - 0s 869us/step - loss: 0.5687 Epoch 44/100 39/39 [==============================] - 0s 895us/step - loss: 0.5651 Epoch 45/100 39/39 [==============================] - 0s 921us/step - loss: 0.5652 Epoch 46/100 39/39 [==============================] - 0s 895us/step - loss: 0.5656 Epoch 47/100 39/39 [==============================] - 0s 895us/step - loss: 0.5636 Epoch 48/100 39/39 [==============================] - 0s 869us/step - loss: 0.5641 Epoch 49/100 39/39 [==============================] - 0s 869us/step - loss: 0.5651 Epoch 50/100 39/39 [==============================] - 0s 869us/step - loss: 0.5639 Epoch 51/100 39/39 [==============================] - 0s 870us/step - loss: 0.5604 Epoch 52/100 39/39 [==============================] - 0s 844us/step - loss: 0.5600 Epoch 53/100 39/39 [==============================] - 0s 921us/step - loss: 0.5606 Epoch 54/100 39/39 [==============================] - 0s 869us/step - loss: 0.5589 Epoch 55/100 39/39 [==============================] - 0s 895us/step - loss: 0.5586 Epoch 56/100 39/39 [==============================] - 0s 844us/step - loss: 0.5598 Epoch 57/100 39/39 [==============================] - 0s 921us/step - loss: 0.5587 Epoch 58/100 39/39 [==============================] - 0s 844us/step - loss: 0.5570 Epoch 59/100 39/39 [==============================] - 0s 844us/step - loss: 0.5574 Epoch 60/100 39/39 [==============================] - 0s 921us/step - loss: 0.5581 Epoch 61/100 39/39 [==============================] - 0s 844us/step - loss: 0.5561 Epoch 62/100 39/39 [==============================] - 0s 895us/step - loss: 0.5555 Epoch 63/100 39/39 [==============================] - 0s 818us/step - loss: 0.5548 Epoch 64/100 39/39 [==============================] - 0s 869us/step - loss: 0.5545 Epoch 65/100 39/39 [==============================] - 0s 895us/step - loss: 0.5532 Epoch 66/100 39/39 [==============================] - 0s 895us/step - loss: 0.5545 Epoch 67/100 39/39 [==============================] - 0s 869us/step - loss: 0.5529 Epoch 68/100 39/39 [==============================] - 0s 869us/step - loss: 0.5535 Epoch 69/100 39/39 [==============================] - 0s 870us/step - loss: 0.5508 Epoch 70/100 39/39 [==============================] - 0s 895us/step - loss: 0.5517 Epoch 71/100 39/39 [==============================] - 0s 895us/step - loss: 0.5509 Epoch 72/100 39/39 [==============================] - 0s 844us/step - loss: 0.5527 Epoch 73/100 39/39 [==============================] - 0s 844us/step - loss: 0.5591 Epoch 74/100 39/39 [==============================] - 0s 869us/step - loss: 0.5506 Epoch 75/100 39/39 [==============================] - 0s 869us/step - loss: 0.5502 Epoch 76/100 39/39 [==============================] - 0s 921us/step - loss: 0.5487 Epoch 77/100 39/39 [==============================] - 0s 844us/step - loss: 0.5492 Epoch 78/100 39/39 [==============================] - 0s 869us/step - loss: 0.5519 Epoch 79/100 39/39 [==============================] - 0s 895us/step - loss: 0.5498 Epoch 80/100 39/39 [==============================] - 0s 844us/step - loss: 0.5465 Epoch 81/100 39/39 [==============================] - 0s 895us/step - loss: 0.5472 Epoch 82/100 39/39 [==============================] - 0s 844us/step - loss: 0.5466 Epoch 83/100 39/39 [==============================] - 0s 869us/step - loss: 0.5466 Epoch 84/100 39/39 [==============================] - 0s 921us/step - loss: 0.5458 Epoch 85/100 39/39 [==============================] - 0s 895us/step - loss: 0.5493 Epoch 86/100 39/39 [==============================] - 0s 895us/step - loss: 0.5442 Epoch 87/100 39/39 [==============================] - 0s 921us/step - loss: 0.5451 Epoch 88/100 39/39 [==============================] - 0s 1ms/step - loss: 0.5438 Epoch 89/100 39/39 [==============================] - 0s 895us/step - loss: 0.5441 Epoch 90/100 39/39 [==============================] - 0s 767us/step - loss: 0.5430 Epoch 91/100 39/39 [==============================] - 0s 844us/step - loss: 0.5425 Epoch 92/100 39/39 [==============================] - 0s 844us/step - loss: 0.5423 Epoch 93/100 39/39 [==============================] - 0s 895us/step - loss: 0.5434 Epoch 94/100 39/39 [==============================] - 0s 869us/step - loss: 0.5416 Epoch 95/100 39/39 [==============================] - 0s 921us/step - loss: 0.5435 Epoch 96/100 39/39 [==============================] - 0s 869us/step - loss: 0.5407 Epoch 97/100 39/39 [==============================] - 0s 844us/step - loss: 0.5407 Epoch 98/100 39/39 [==============================] - 0s 818us/step - loss: 0.5392 Epoch 99/100 39/39 [==============================] - 0s 818us/step - loss: 0.5407 Epoch 100/100 39/39 [==============================] - 0s 869us/step - loss: 0.5408 ###################################################################### Accuracy: 89.80237776625765 Epoch 1/100 39/39 [==============================] - 0s 1ms/step - loss: 1.0167 Epoch 2/100 39/39 [==============================] - 0s 844us/step - loss: 0.9984 Epoch 3/100 39/39 [==============================] - 0s 870us/step - loss: 0.9309 Epoch 4/100 39/39 [==============================] - 0s 921us/step - loss: 0.8166 Epoch 5/100 39/39 [==============================] - 0s 921us/step - loss: 0.7091 Epoch 6/100 39/39 [==============================] - 0s 869us/step - loss: 0.6590 Epoch 7/100 39/39 [==============================] - 0s 921us/step - loss: 0.6419 Epoch 8/100 39/39 [==============================] - 0s 895us/step - loss: 0.6363 Epoch 9/100 39/39 [==============================] - 0s 844us/step - loss: 0.6343 Epoch 10/100 39/39 [==============================] - 0s 818us/step - loss: 0.6282 Epoch 11/100 39/39 [==============================] - 0s 818us/step - loss: 0.6264 Epoch 12/100 39/39 [==============================] - 0s 844us/step - loss: 0.6237 Epoch 13/100 39/39 [==============================] - 0s 844us/step - loss: 0.6253 Epoch 14/100 39/39 [==============================] - 0s 869us/step - loss: 0.6221 Epoch 15/100 39/39 [==============================] - 0s 869us/step - loss: 0.6201 Epoch 16/100 39/39 [==============================] - 0s 869us/step - loss: 0.6185 Epoch 17/100 39/39 [==============================] - 0s 869us/step - loss: 0.6181 Epoch 18/100 39/39 [==============================] - 0s 921us/step - loss: 0.6163 Epoch 19/100 39/39 [==============================] - 0s 818us/step - loss: 0.6156 Epoch 20/100 39/39 [==============================] - 0s 869us/step - loss: 0.6144 Epoch 21/100 39/39 [==============================] - 0s 793us/step - loss: 0.6133 Epoch 22/100 39/39 [==============================] - 0s 793us/step - loss: 0.6121 Epoch 23/100 39/39 [==============================] - 0s 844us/step - loss: 0.6097 Epoch 24/100 39/39 [==============================] - 0s 869us/step - loss: 0.6080 Epoch 25/100 39/39 [==============================] - 0s 818us/step - loss: 0.6076 Epoch 26/100 39/39 [==============================] - 0s 844us/step - loss: 0.6129 Epoch 27/100 39/39 [==============================] - 0s 869us/step - loss: 0.6074 Epoch 28/100 39/39 [==============================] - 0s 921us/step - loss: 0.6062 Epoch 29/100 39/39 [==============================] - 0s 844us/step - loss: 0.6053 Epoch 30/100 39/39 [==============================] - 0s 793us/step - loss: 0.6039 Epoch 31/100 39/39 [==============================] - 0s 895us/step - loss: 0.6061 Epoch 32/100 39/39 [==============================] - 0s 869us/step - loss: 0.6019 Epoch 33/100 39/39 [==============================] - 0s 895us/step - loss: 0.6008 Epoch 34/100 39/39 [==============================] - 0s 972us/step - loss: 0.5987 Epoch 35/100 39/39 [==============================] - 0s 869us/step - loss: 0.5983 Epoch 36/100 39/39 [==============================] - 0s 869us/step - loss: 0.5989 Epoch 37/100 39/39 [==============================] - 0s 2ms/step - loss: 0.5969 Epoch 38/100 39/39 [==============================] - 0s 1ms/step - loss: 0.5982 Epoch 39/100 39/39 [==============================] - 0s 946us/step - loss: 0.5950 Epoch 40/100 39/39 [==============================] - 0s 946us/step - loss: 0.5942 Epoch 41/100 39/39 [==============================] - 0s 869us/step - loss: 0.5931 Epoch 42/100 39/39 [==============================] - 0s 921us/step - loss: 0.5940 Epoch 43/100 39/39 [==============================] - 0s 869us/step - loss: 0.5933 Epoch 44/100 39/39 [==============================] - 0s 844us/step - loss: 0.5936 Epoch 45/100 39/39 [==============================] - 0s 869us/step - loss: 0.5902 Epoch 46/100 39/39 [==============================] - 0s 921us/step - loss: 0.5915 Epoch 47/100 39/39 [==============================] - 0s 869us/step - loss: 0.5929 Epoch 48/100 39/39 [==============================] - 0s 895us/step - loss: 0.5935 Epoch 49/100 39/39 [==============================] - 0s 921us/step - loss: 0.5896 Epoch 50/100 39/39 [==============================] - 0s 844us/step - loss: 0.5875 Epoch 51/100 39/39 [==============================] - 0s 844us/step - loss: 0.5876 Epoch 52/100 39/39 [==============================] - 0s 869us/step - loss: 0.5863 Epoch 53/100 39/39 [==============================] - 0s 921us/step - loss: 0.5860 Epoch 54/100 39/39 [==============================] - 0s 844us/step - loss: 0.5860 Epoch 55/100 39/39 [==============================] - 0s 818us/step - loss: 0.5850 Epoch 56/100 39/39 [==============================] - 0s 869us/step - loss: 0.5843 Epoch 57/100 39/39 [==============================] - 0s 869us/step - loss: 0.5833 Epoch 58/100 39/39 [==============================] - 0s 869us/step - loss: 0.5828 Epoch 59/100 39/39 [==============================] - 0s 844us/step - loss: 0.5827 Epoch 60/100 39/39 [==============================] - 0s 844us/step - loss: 0.5819 Epoch 61/100 39/39 [==============================] - 0s 869us/step - loss: 0.5816 Epoch 62/100 39/39 [==============================] - 0s 895us/step - loss: 0.5812 Epoch 63/100 39/39 [==============================] - 0s 818us/step - loss: 0.5808 Epoch 64/100 39/39 [==============================] - 0s 869us/step - loss: 0.5816 Epoch 65/100 39/39 [==============================] - 0s 844us/step - loss: 0.5797 Epoch 66/100 39/39 [==============================] - 0s 869us/step - loss: 0.5812 Epoch 67/100 39/39 [==============================] - 0s 921us/step - loss: 0.5792 Epoch 68/100 39/39 [==============================] - 0s 844us/step - loss: 0.5803 Epoch 69/100 39/39 [==============================] - 0s 844us/step - loss: 0.5784 Epoch 70/100 39/39 [==============================] - 0s 844us/step - loss: 0.5792 Epoch 71/100 39/39 [==============================] - 0s 895us/step - loss: 0.5777 Epoch 72/100 39/39 [==============================] - 0s 895us/step - loss: 0.5763 Epoch 73/100 39/39 [==============================] - 0s 818us/step - loss: 0.5762 Epoch 74/100 39/39 [==============================] - 0s 869us/step - loss: 0.5758 Epoch 75/100 39/39 [==============================] - 0s 895us/step - loss: 0.5768 Epoch 76/100 39/39 [==============================] - 0s 895us/step - loss: 0.5797 Epoch 77/100 39/39 [==============================] - 0s 869us/step - loss: 0.5785 Epoch 78/100 39/39 [==============================] - 0s 921us/step - loss: 0.5748 Epoch 79/100 39/39 [==============================] - 0s 818us/step - loss: 0.5748 Epoch 80/100 39/39 [==============================] - 0s 844us/step - loss: 0.5740 Epoch 81/100 39/39 [==============================] - 0s 869us/step - loss: 0.5749 Epoch 82/100 39/39 [==============================] - 0s 895us/step - loss: 0.5736 Epoch 83/100 39/39 [==============================] - 0s 921us/step - loss: 0.5729 Epoch 84/100 39/39 [==============================] - 0s 793us/step - loss: 0.5727 Epoch 85/100 39/39 [==============================] - 0s 793us/step - loss: 0.5737 Epoch 86/100 39/39 [==============================] - 0s 946us/step - loss: 0.5703 Epoch 87/100 39/39 [==============================] - 0s 869us/step - loss: 0.5709 Epoch 88/100 39/39 [==============================] - 0s 869us/step - loss: 0.5716 Epoch 89/100 39/39 [==============================] - 0s 869us/step - loss: 0.5690 Epoch 90/100 39/39 [==============================] - 0s 921us/step - loss: 0.5689 Epoch 91/100 39/39 [==============================] - 0s 946us/step - loss: 0.5706 Epoch 92/100 39/39 [==============================] - 0s 844us/step - loss: 0.5695 Epoch 93/100 39/39 [==============================] - 0s 844us/step - loss: 0.5683 Epoch 94/100 39/39 [==============================] - 0s 869us/step - loss: 0.5669 Epoch 95/100 39/39 [==============================] - 0s 869us/step - loss: 0.5699 Epoch 96/100 39/39 [==============================] - 0s 844us/step - loss: 0.5677 Epoch 97/100 39/39 [==============================] - 0s 869us/step - loss: 0.5660 Epoch 98/100 39/39 [==============================] - 0s 895us/step - loss: 0.5659 Epoch 99/100 39/39 [==============================] - 0s 869us/step - loss: 0.5675 Epoch 100/100 39/39 [==============================] - 0s 869us/step - loss: 0.5704 ###################################################################### Accuracy: 67.59906662763632 Epoch 1/100 39/39 [==============================] - 0s 978us/step - loss: 1.0014 Epoch 2/100 39/39 [==============================] - 0s 869us/step - loss: 0.9907 Epoch 3/100 39/39 [==============================] - 0s 870us/step - loss: 0.9520 Epoch 4/100 39/39 [==============================] - 0s 845us/step - loss: 0.8471 Epoch 5/100 39/39 [==============================] - 0s 895us/step - loss: 0.7202 Epoch 6/100 39/39 [==============================] - 0s 793us/step - loss: 0.6613 Epoch 7/100 39/39 [==============================] - 0s 844us/step - loss: 0.6454 Epoch 8/100 39/39 [==============================] - 0s 844us/step - loss: 0.6363 Epoch 9/100 39/39 [==============================] - 0s 895us/step - loss: 0.6306 Epoch 10/100 39/39 [==============================] - 0s 895us/step - loss: 0.6256 Epoch 11/100 39/39 [==============================] - 0s 946us/step - loss: 0.6224 Epoch 12/100 39/39 [==============================] - 0s 921us/step - loss: 0.6193 Epoch 13/100 39/39 [==============================] - 0s 869us/step - loss: 0.6168 Epoch 14/100 39/39 [==============================] - 0s 921us/step - loss: 0.6133 Epoch 15/100 39/39 [==============================] - 0s 869us/step - loss: 0.6113 Epoch 16/100 39/39 [==============================] - 0s 844us/step - loss: 0.6080 Epoch 17/100 39/39 [==============================] - 0s 818us/step - loss: 0.6056 Epoch 18/100 39/39 [==============================] - 0s 869us/step - loss: 0.6038 Epoch 19/100 39/39 [==============================] - 0s 818us/step - loss: 0.6012 Epoch 20/100 39/39 [==============================] - 0s 869us/step - loss: 0.5992 Epoch 21/100 39/39 [==============================] - 0s 869us/step - loss: 0.5984 Epoch 22/100 39/39 [==============================] - 0s 895us/step - loss: 0.5954 Epoch 23/100 39/39 [==============================] - 0s 895us/step - loss: 0.5948 Epoch 24/100 39/39 [==============================] - 0s 921us/step - loss: 0.5942 Epoch 25/100 39/39 [==============================] - 0s 921us/step - loss: 0.5916 Epoch 26/100 39/39 [==============================] - 0s 921us/step - loss: 0.5908 Epoch 27/100 39/39 [==============================] - 0s 869us/step - loss: 0.5890 Epoch 28/100 39/39 [==============================] - 0s 844us/step - loss: 0.5881 Epoch 29/100 39/39 [==============================] - 0s 895us/step - loss: 0.5867 Epoch 30/100 39/39 [==============================] - 0s 844us/step - loss: 0.5859 Epoch 31/100 39/39 [==============================] - 0s 869us/step - loss: 0.5853 Epoch 32/100 39/39 [==============================] - 0s 818us/step - loss: 0.5829 Epoch 33/100 39/39 [==============================] - 0s 946us/step - loss: 0.5813 Epoch 34/100 39/39 [==============================] - 0s 844us/step - loss: 0.5798 Epoch 35/100 39/39 [==============================] - 0s 869us/step - loss: 0.5784 Epoch 36/100 39/39 [==============================] - 0s 869us/step - loss: 0.5785 Epoch 37/100 39/39 [==============================] - 0s 895us/step - loss: 0.5767 Epoch 38/100 39/39 [==============================] - 0s 844us/step - loss: 0.5761 Epoch 39/100 39/39 [==============================] - 0s 869us/step - loss: 0.5760 Epoch 40/100 39/39 [==============================] - 0s 869us/step - loss: 0.5737 Epoch 41/100 39/39 [==============================] - 0s 895us/step - loss: 0.5741 Epoch 42/100 39/39 [==============================] - 0s 869us/step - loss: 0.5734 Epoch 43/100 39/39 [==============================] - 0s 869us/step - loss: 0.5738 Epoch 44/100 39/39 [==============================] - 0s 895us/step - loss: 0.5708 Epoch 45/100 39/39 [==============================] - 0s 972us/step - loss: 0.5701 Epoch 46/100 39/39 [==============================] - 0s 869us/step - loss: 0.5694 Epoch 47/100 39/39 [==============================] - 0s 895us/step - loss: 0.5691 Epoch 48/100 39/39 [==============================] - 0s 921us/step - loss: 0.5692 Epoch 49/100 39/39 [==============================] - 0s 844us/step - loss: 0.5704 Epoch 50/100 39/39 [==============================] - 0s 869us/step - loss: 0.5689 Epoch 51/100 39/39 [==============================] - 0s 921us/step - loss: 0.5666 Epoch 52/100 39/39 [==============================] - 0s 844us/step - loss: 0.5655 Epoch 53/100 39/39 [==============================] - 0s 895us/step - loss: 0.5659 Epoch 54/100 39/39 [==============================] - 0s 869us/step - loss: 0.5639 Epoch 55/100 39/39 [==============================] - 0s 869us/step - loss: 0.5625 Epoch 56/100 39/39 [==============================] - 0s 895us/step - loss: 0.5616 Epoch 57/100 39/39 [==============================] - 0s 921us/step - loss: 0.5603 Epoch 58/100 39/39 [==============================] - 0s 818us/step - loss: 0.5614 Epoch 59/100 39/39 [==============================] - 0s 869us/step - loss: 0.5602 Epoch 60/100 39/39 [==============================] - 0s 921us/step - loss: 0.5589 Epoch 61/100 39/39 [==============================] - 0s 895us/step - loss: 0.5584 Epoch 62/100 39/39 [==============================] - 0s 844us/step - loss: 0.5637 Epoch 63/100 39/39 [==============================] - 0s 869us/step - loss: 0.5564 Epoch 64/100 39/39 [==============================] - 0s 869us/step - loss: 0.5573 Epoch 65/100 39/39 [==============================] - 0s 895us/step - loss: 0.5568 Epoch 66/100 39/39 [==============================] - 0s 921us/step - loss: 0.5587 Epoch 67/100 39/39 [==============================] - 0s 844us/step - loss: 0.5552 Epoch 68/100 39/39 [==============================] - 0s 869us/step - loss: 0.5534 Epoch 69/100 39/39 [==============================] - 0s 869us/step - loss: 0.5522 Epoch 70/100 39/39 [==============================] - 0s 895us/step - loss: 0.5521 Epoch 71/100 39/39 [==============================] - 0s 921us/step - loss: 0.5547 Epoch 72/100 39/39 [==============================] - 0s 869us/step - loss: 0.5508 Epoch 73/100 39/39 [==============================] - 0s 870us/step - loss: 0.5508 Epoch 74/100 39/39 [==============================] - 0s 869us/step - loss: 0.5527 Epoch 75/100 39/39 [==============================] - 0s 895us/step - loss: 0.5494 Epoch 76/100 39/39 [==============================] - 0s 895us/step - loss: 0.5484 Epoch 77/100 39/39 [==============================] - 0s 895us/step - loss: 0.5473 Epoch 78/100 39/39 [==============================] - 0s 895us/step - loss: 0.5473 Epoch 79/100 39/39 [==============================] - 0s 869us/step - loss: 0.5549 Epoch 80/100 39/39 [==============================] - 0s 869us/step - loss: 0.5484 Epoch 81/100 39/39 [==============================] - 0s 921us/step - loss: 0.5451 Epoch 82/100 39/39 [==============================] - 0s 921us/step - loss: 0.5455 Epoch 83/100 39/39 [==============================] - 0s 844us/step - loss: 0.5438 Epoch 84/100 39/39 [==============================] - 0s 895us/step - loss: 0.5434 Epoch 85/100 39/39 [==============================] - 0s 895us/step - loss: 0.5426 Epoch 86/100 39/39 [==============================] - 0s 818us/step - loss: 0.5437 Epoch 87/100 39/39 [==============================] - 0s 921us/step - loss: 0.5430 Epoch 88/100 39/39 [==============================] - 0s 869us/step - loss: 0.5464 Epoch 89/100 39/39 [==============================] - 0s 895us/step - loss: 0.5422 Epoch 90/100 39/39 [==============================] - 0s 895us/step - loss: 0.5402 Epoch 91/100 39/39 [==============================] - 0s 895us/step - loss: 0.5411 Epoch 92/100 39/39 [==============================] - 0s 869us/step - loss: 0.5395 Epoch 93/100 39/39 [==============================] - 0s 869us/step - loss: 0.5387 Epoch 94/100 39/39 [==============================] - 0s 870us/step - loss: 0.5437 Epoch 95/100 39/39 [==============================] - 0s 895us/step - loss: 0.5417 Epoch 96/100 39/39 [==============================] - 0s 818us/step - loss: 0.5390 Epoch 97/100 39/39 [==============================] - 0s 921us/step - loss: 0.5382 Epoch 98/100 39/39 [==============================] - 0s 921us/step - loss: 0.5363 Epoch 99/100 39/39 [==============================] - 0s 921us/step - loss: 0.5353 Epoch 100/100 39/39 [==============================] - 0s 921us/step - loss: 0.5350 ###################################################################### Accuracy: 74.11572183785381 Epoch 1/150 38/38 [==============================] - 0s 1ms/step - loss: 1.0165 Epoch 2/150 38/38 [==============================] - 0s 840us/step - loss: 1.0010 Epoch 3/150 38/38 [==============================] - 0s 866us/step - loss: 0.9399 Epoch 4/150 38/38 [==============================] - 0s 814us/step - loss: 0.8228 Epoch 5/150 38/38 [==============================] - 0s 814us/step - loss: 0.7085 Epoch 6/150 38/38 [==============================] - 0s 840us/step - loss: 0.6538 Epoch 7/150 38/38 [==============================] - 0s 892us/step - loss: 0.6414 Epoch 8/150 38/38 [==============================] - 0s 814us/step - loss: 0.6387 Epoch 9/150 38/38 [==============================] - 0s 892us/step - loss: 0.6329 Epoch 10/150 38/38 [==============================] - 0s 919us/step - loss: 0.6313 Epoch 11/150 38/38 [==============================] - 0s 892us/step - loss: 0.6282 Epoch 12/150 38/38 [==============================] - 0s 840us/step - loss: 0.6253 Epoch 13/150 38/38 [==============================] - 0s 787us/step - loss: 0.6244 Epoch 14/150 38/38 [==============================] - 0s 787us/step - loss: 0.6198 Epoch 15/150 38/38 [==============================] - 0s 814us/step - loss: 0.6180 Epoch 16/150 38/38 [==============================] - 0s 866us/step - loss: 0.6154 Epoch 17/150 38/38 [==============================] - 0s 761us/step - loss: 0.6137 Epoch 18/150 38/38 [==============================] - 0s 840us/step - loss: 0.6113 Epoch 19/150 38/38 [==============================] - 0s 840us/step - loss: 0.6105 Epoch 20/150 38/38 [==============================] - 0s 866us/step - loss: 0.6066 Epoch 21/150 38/38 [==============================] - 0s 840us/step - loss: 0.6034 Epoch 22/150 38/38 [==============================] - 0s 919us/step - loss: 0.6018 Epoch 23/150 38/38 [==============================] - 0s 866us/step - loss: 0.5987 Epoch 24/150 38/38 [==============================] - 0s 814us/step - loss: 0.5971 Epoch 25/150 38/38 [==============================] - 0s 840us/step - loss: 0.5958 Epoch 26/150 38/38 [==============================] - 0s 814us/step - loss: 0.5925 Epoch 27/150 38/38 [==============================] - 0s 787us/step - loss: 0.5904 Epoch 28/150 38/38 [==============================] - 0s 840us/step - loss: 0.5886 Epoch 29/150 38/38 [==============================] - 0s 840us/step - loss: 0.5874 Epoch 30/150 38/38 [==============================] - 0s 840us/step - loss: 0.5849 Epoch 31/150 38/38 [==============================] - 0s 866us/step - loss: 0.5823 Epoch 32/150 38/38 [==============================] - 0s 814us/step - loss: 0.5812 Epoch 33/150 38/38 [==============================] - 0s 814us/step - loss: 0.5799 Epoch 34/150 38/38 [==============================] - 0s 892us/step - loss: 0.5796 Epoch 35/150 38/38 [==============================] - 0s 840us/step - loss: 0.5760 Epoch 36/150 38/38 [==============================] - 0s 840us/step - loss: 0.5750 Epoch 37/150 38/38 [==============================] - 0s 840us/step - loss: 0.5748 Epoch 38/150 38/38 [==============================] - 0s 919us/step - loss: 0.5721 Epoch 39/150 38/38 [==============================] - 0s 866us/step - loss: 0.5713 Epoch 40/150 38/38 [==============================] - 0s 840us/step - loss: 0.5699 Epoch 41/150 38/38 [==============================] - 0s 761us/step - loss: 0.5681 Epoch 42/150 38/38 [==============================] - 0s 866us/step - loss: 0.5687 Epoch 43/150 38/38 [==============================] - 0s 814us/step - loss: 0.5684 Epoch 44/150 38/38 [==============================] - 0s 787us/step - loss: 0.5660 Epoch 45/150 38/38 [==============================] - 0s 892us/step - loss: 0.5653 Epoch 46/150 38/38 [==============================] - 0s 892us/step - loss: 0.5647 Epoch 47/150 38/38 [==============================] - 0s 866us/step - loss: 0.5628 Epoch 48/150 38/38 [==============================] - 0s 892us/step - loss: 0.5631 Epoch 49/150 38/38 [==============================] - 0s 840us/step - loss: 0.5616 Epoch 50/150 38/38 [==============================] - 0s 840us/step - loss: 0.5619 Epoch 51/150 38/38 [==============================] - 0s 866us/step - loss: 0.5613 Epoch 52/150 38/38 [==============================] - 0s 919us/step - loss: 0.5585 Epoch 53/150 38/38 [==============================] - 0s 814us/step - loss: 0.5573 Epoch 54/150 38/38 [==============================] - 0s 866us/step - loss: 0.5584 Epoch 55/150 38/38 [==============================] - 0s 840us/step - loss: 0.5552 Epoch 56/150 38/38 [==============================] - 0s 866us/step - loss: 0.5546 Epoch 57/150 38/38 [==============================] - 0s 866us/step - loss: 0.5556 Epoch 58/150 38/38 [==============================] - 0s 840us/step - loss: 0.5538 Epoch 59/150 38/38 [==============================] - 0s 840us/step - loss: 0.5530 Epoch 60/150 38/38 [==============================] - 0s 866us/step - loss: 0.5527 Epoch 61/150 38/38 [==============================] - 0s 892us/step - loss: 0.5518 Epoch 62/150 38/38 [==============================] - 0s 892us/step - loss: 0.5513 Epoch 63/150 38/38 [==============================] - 0s 840us/step - loss: 0.5513 Epoch 64/150 38/38 [==============================] - 0s 840us/step - loss: 0.5505 Epoch 65/150 38/38 [==============================] - 0s 892us/step - loss: 0.5493 Epoch 66/150 38/38 [==============================] - 0s 945us/step - loss: 0.5508 Epoch 67/150 38/38 [==============================] - 0s 840us/step - loss: 0.5510 Epoch 68/150 38/38 [==============================] - 0s 866us/step - loss: 0.5486 Epoch 69/150 38/38 [==============================] - 0s 814us/step - loss: 0.5481 Epoch 70/150 38/38 [==============================] - 0s 866us/step - loss: 0.5470 Epoch 71/150 38/38 [==============================] - 0s 840us/step - loss: 0.5470 Epoch 72/150 38/38 [==============================] - 0s 840us/step - loss: 0.5476 Epoch 73/150 38/38 [==============================] - 0s 919us/step - loss: 0.5458 Epoch 74/150 38/38 [==============================] - 0s 814us/step - loss: 0.5478 Epoch 75/150 38/38 [==============================] - 0s 840us/step - loss: 0.5452 Epoch 76/150 38/38 [==============================] - 0s 814us/step - loss: 0.5437 Epoch 77/150 38/38 [==============================] - 0s 840us/step - loss: 0.5444 Epoch 78/150 38/38 [==============================] - 0s 892us/step - loss: 0.5439 Epoch 79/150 38/38 [==============================] - 0s 866us/step - loss: 0.5416 Epoch 80/150 38/38 [==============================] - 0s 866us/step - loss: 0.5416 Epoch 81/150 38/38 [==============================] - 0s 866us/step - loss: 0.5395 Epoch 82/150 38/38 [==============================] - 0s 787us/step - loss: 0.5403 Epoch 83/150 38/38 [==============================] - 0s 814us/step - loss: 0.5404 Epoch 84/150 38/38 [==============================] - 0s 814us/step - loss: 0.5373 Epoch 85/150 38/38 [==============================] - 0s 866us/step - loss: 0.5376 Epoch 86/150 38/38 [==============================] - 0s 866us/step - loss: 0.5374 Epoch 87/150 38/38 [==============================] - 0s 919us/step - loss: 0.5367 Epoch 88/150 38/38 [==============================] - 0s 866us/step - loss: 0.5363 Epoch 89/150 38/38 [==============================] - 0s 814us/step - loss: 0.5364 Epoch 90/150 38/38 [==============================] - 0s 840us/step - loss: 0.5359 Epoch 91/150 38/38 [==============================] - 0s 866us/step - loss: 0.5371 Epoch 92/150 38/38 [==============================] - 0s 787us/step - loss: 0.5353 Epoch 93/150 38/38 [==============================] - 0s 840us/step - loss: 0.5345 Epoch 94/150 38/38 [==============================] - 0s 866us/step - loss: 0.5345 Epoch 95/150 38/38 [==============================] - 0s 840us/step - loss: 0.5325 Epoch 96/150 38/38 [==============================] - 0s 814us/step - loss: 0.5323 Epoch 97/150 38/38 [==============================] - 0s 866us/step - loss: 0.5322 Epoch 98/150 38/38 [==============================] - 0s 840us/step - loss: 0.5317 Epoch 99/150 38/38 [==============================] - 0s 840us/step - loss: 0.5314 Epoch 100/150 38/38 [==============================] - 0s 814us/step - loss: 0.5312 Epoch 101/150 38/38 [==============================] - 0s 814us/step - loss: 0.5301 Epoch 102/150 38/38 [==============================] - 0s 814us/step - loss: 0.5298 Epoch 103/150 38/38 [==============================] - 0s 814us/step - loss: 0.5316 Epoch 104/150 38/38 [==============================] - 0s 840us/step - loss: 0.5292 Epoch 105/150 38/38 [==============================] - 0s 866us/step - loss: 0.5312 Epoch 106/150 38/38 [==============================] - 0s 866us/step - loss: 0.5300 Epoch 107/150 38/38 [==============================] - 0s 866us/step - loss: 0.5289 Epoch 108/150 38/38 [==============================] - 0s 892us/step - loss: 0.5261 Epoch 109/150 38/38 [==============================] - 0s 919us/step - loss: 0.5277 Epoch 110/150 38/38 [==============================] - 0s 892us/step - loss: 0.5266 Epoch 111/150 38/38 [==============================] - 0s 866us/step - loss: 0.5276 Epoch 112/150 38/38 [==============================] - 0s 892us/step - loss: 0.5269 Epoch 113/150 38/38 [==============================] - 0s 787us/step - loss: 0.5278 Epoch 114/150 38/38 [==============================] - 0s 787us/step - loss: 0.5249 Epoch 115/150 38/38 [==============================] - 0s 761us/step - loss: 0.5259 Epoch 116/150 38/38 [==============================] - 0s 814us/step - loss: 0.5243 Epoch 117/150 38/38 [==============================] - 0s 814us/step - loss: 0.5248 Epoch 118/150 38/38 [==============================] - 0s 814us/step - loss: 0.5241 Epoch 119/150 38/38 [==============================] - 0s 892us/step - loss: 0.5227 Epoch 120/150 38/38 [==============================] - 0s 866us/step - loss: 0.5235 Epoch 121/150 38/38 [==============================] - 0s 840us/step - loss: 0.5238 Epoch 122/150 38/38 [==============================] - 0s 761us/step - loss: 0.5216 Epoch 123/150 38/38 [==============================] - 0s 866us/step - loss: 0.5209 Epoch 124/150 38/38 [==============================] - 0s 866us/step - loss: 0.5214 Epoch 125/150 38/38 [==============================] - 0s 787us/step - loss: 0.5212 Epoch 126/150 38/38 [==============================] - 0s 814us/step - loss: 0.5210 Epoch 127/150 38/38 [==============================] - 0s 866us/step - loss: 0.5209 Epoch 128/150 38/38 [==============================] - 0s 919us/step - loss: 0.5198 Epoch 129/150 38/38 [==============================] - 0s 735us/step - loss: 0.5187 Epoch 130/150 38/38 [==============================] - 0s 840us/step - loss: 0.5195 Epoch 131/150 38/38 [==============================] - 0s 892us/step - loss: 0.5181 Epoch 132/150 38/38 [==============================] - 0s 840us/step - loss: 0.5179 Epoch 133/150 38/38 [==============================] - 0s 840us/step - loss: 0.5185 Epoch 134/150 38/38 [==============================] - 0s 840us/step - loss: 0.5171 Epoch 135/150 38/38 [==============================] - 0s 866us/step - loss: 0.5164 Epoch 136/150 38/38 [==============================] - 0s 840us/step - loss: 0.5174 Epoch 137/150 38/38 [==============================] - 0s 787us/step - loss: 0.5169 Epoch 138/150 38/38 [==============================] - 0s 840us/step - loss: 0.5168 Epoch 139/150 38/38 [==============================] - 0s 866us/step - loss: 0.5146 Epoch 140/150 38/38 [==============================] - 0s 814us/step - loss: 0.5152 Epoch 141/150 38/38 [==============================] - 0s 814us/step - loss: 0.5145 Epoch 142/150 38/38 [==============================] - 0s 814us/step - loss: 0.5146 Epoch 143/150 38/38 [==============================] - 0s 840us/step - loss: 0.5149 Epoch 144/150 38/38 [==============================] - 0s 814us/step - loss: 0.5151 Epoch 145/150 38/38 [==============================] - 0s 840us/step - loss: 0.5144 Epoch 146/150 38/38 [==============================] - 0s 787us/step - loss: 0.5148 Epoch 147/150 38/38 [==============================] - 0s 866us/step - loss: 0.5139 Epoch 148/150 38/38 [==============================] - 0s 840us/step - loss: 0.5139 Epoch 149/150 38/38 [==============================] - 0s 919us/step - loss: 0.5126 Epoch 150/150 38/38 [==============================] - 0s 840us/step - loss: 0.5130 ###################################################################### Accuracy: 72.52825163362085 Epoch 1/150 39/39 [==============================] - 0s 977us/step - loss: 0.9823 Epoch 2/150 39/39 [==============================] - 0s 844us/step - loss: 0.9578 Epoch 3/150 39/39 [==============================] - 0s 895us/step - loss: 0.8813 Epoch 4/150 39/39 [==============================] - 0s 997us/step - loss: 0.7685 Epoch 5/150 39/39 [==============================] - 0s 921us/step - loss: 0.6746 Epoch 6/150 39/39 [==============================] - 0s 946us/step - loss: 0.6441 Epoch 7/150 39/39 [==============================] - 0s 844us/step - loss: 0.6338 Epoch 8/150 39/39 [==============================] - 0s 869us/step - loss: 0.6283 Epoch 9/150 39/39 [==============================] - 0s 895us/step - loss: 0.6234 Epoch 10/150 39/39 [==============================] - 0s 895us/step - loss: 0.6194 Epoch 11/150 39/39 [==============================] - 0s 895us/step - loss: 0.6156 Epoch 12/150 39/39 [==============================] - 0s 972us/step - loss: 0.6127 Epoch 13/150 39/39 [==============================] - 0s 869us/step - loss: 0.6102 Epoch 14/150 39/39 [==============================] - 0s 869us/step - loss: 0.6147 Epoch 15/150 39/39 [==============================] - 0s 869us/step - loss: 0.6063 Epoch 16/150 39/39 [==============================] - 0s 921us/step - loss: 0.6009 Epoch 17/150 39/39 [==============================] - 0s 895us/step - loss: 0.5988 Epoch 18/150 39/39 [==============================] - 0s 895us/step - loss: 0.5972 Epoch 19/150 39/39 [==============================] - 0s 869us/step - loss: 0.5953 Epoch 20/150 39/39 [==============================] - 0s 818us/step - loss: 0.5934 Epoch 21/150 39/39 [==============================] - 0s 895us/step - loss: 0.5928 Epoch 22/150 39/39 [==============================] - 0s 895us/step - loss: 0.5929 Epoch 23/150 39/39 [==============================] - 0s 972us/step - loss: 0.5895 Epoch 24/150 39/39 [==============================] - 0s 869us/step - loss: 0.5900 Epoch 25/150 39/39 [==============================] - 0s 869us/step - loss: 0.5870 Epoch 26/150 39/39 [==============================] - 0s 921us/step - loss: 0.5854 Epoch 27/150 39/39 [==============================] - 0s 895us/step - loss: 0.5856 Epoch 28/150 39/39 [==============================] - 0s 869us/step - loss: 0.5825 Epoch 29/150 39/39 [==============================] - 0s 946us/step - loss: 0.5826 Epoch 30/150 39/39 [==============================] - 0s 895us/step - loss: 0.5816 Epoch 31/150 39/39 [==============================] - 0s 844us/step - loss: 0.5817 Epoch 32/150 39/39 [==============================] - 0s 844us/step - loss: 0.5824 Epoch 33/150 39/39 [==============================] - 0s 921us/step - loss: 0.5789 Epoch 34/150 39/39 [==============================] - 0s 869us/step - loss: 0.5803 Epoch 35/150 39/39 [==============================] - 0s 895us/step - loss: 0.5812 Epoch 36/150 39/39 [==============================] - 0s 946us/step - loss: 0.5770 Epoch 37/150 39/39 [==============================] - 0s 946us/step - loss: 0.5762 Epoch 38/150 39/39 [==============================] - 0s 972us/step - loss: 0.5759 Epoch 39/150 39/39 [==============================] - 0s 818us/step - loss: 0.5738 Epoch 40/150 39/39 [==============================] - 0s 869us/step - loss: 0.5740 Epoch 41/150 39/39 [==============================] - 0s 844us/step - loss: 0.5723 Epoch 42/150 39/39 [==============================] - 0s 895us/step - loss: 0.5724 Epoch 43/150 39/39 [==============================] - 0s 818us/step - loss: 0.5728 Epoch 44/150 39/39 [==============================] - 0s 921us/step - loss: 0.5738 Epoch 45/150 39/39 [==============================] - 0s 895us/step - loss: 0.5713 Epoch 46/150 39/39 [==============================] - 0s 895us/step - loss: 0.5739 Epoch 47/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5717 Epoch 48/150 39/39 [==============================] - 0s 921us/step - loss: 0.5736 Epoch 49/150 39/39 [==============================] - 0s 844us/step - loss: 0.5720 Epoch 50/150 39/39 [==============================] - 0s 793us/step - loss: 0.5719 Epoch 51/150 39/39 [==============================] - 0s 793us/step - loss: 0.5687 Epoch 52/150 39/39 [==============================] - 0s 844us/step - loss: 0.5684 Epoch 53/150 39/39 [==============================] - 0s 818us/step - loss: 0.5687 Epoch 54/150 39/39 [==============================] - 0s 844us/step - loss: 0.5685 Epoch 55/150 39/39 [==============================] - 0s 869us/step - loss: 0.5668 Epoch 56/150 39/39 [==============================] - 0s 869us/step - loss: 0.5676 Epoch 57/150 39/39 [==============================] - 0s 895us/step - loss: 0.5670 Epoch 58/150 39/39 [==============================] - 0s 844us/step - loss: 0.5659 Epoch 59/150 39/39 [==============================] - 0s 895us/step - loss: 0.5684 Epoch 60/150 39/39 [==============================] - 0s 921us/step - loss: 0.5665 Epoch 61/150 39/39 [==============================] - 0s 895us/step - loss: 0.5665 Epoch 62/150 39/39 [==============================] - 0s 921us/step - loss: 0.5660 Epoch 63/150 39/39 [==============================] - 0s 869us/step - loss: 0.5646 Epoch 64/150 39/39 [==============================] - 0s 869us/step - loss: 0.5643 Epoch 65/150 39/39 [==============================] - 0s 844us/step - loss: 0.5641 Epoch 66/150 39/39 [==============================] - 0s 921us/step - loss: 0.5636 Epoch 67/150 39/39 [==============================] - 0s 844us/step - loss: 0.5635 Epoch 68/150 39/39 [==============================] - 0s 818us/step - loss: 0.5636 Epoch 69/150 39/39 [==============================] - 0s 895us/step - loss: 0.5626 Epoch 70/150 39/39 [==============================] - 0s 844us/step - loss: 0.5629 Epoch 71/150 39/39 [==============================] - 0s 869us/step - loss: 0.5639 Epoch 72/150 39/39 [==============================] - 0s 895us/step - loss: 0.5627 Epoch 73/150 39/39 [==============================] - 0s 869us/step - loss: 0.5638 Epoch 74/150 39/39 [==============================] - 0s 869us/step - loss: 0.5681 Epoch 75/150 39/39 [==============================] - 0s 869us/step - loss: 0.5718 Epoch 76/150 39/39 [==============================] - 0s 870us/step - loss: 0.5644 Epoch 77/150 39/39 [==============================] - 0s 844us/step - loss: 0.5615 Epoch 78/150 39/39 [==============================] - 0s 895us/step - loss: 0.5615 Epoch 79/150 39/39 [==============================] - 0s 895us/step - loss: 0.5609 Epoch 80/150 39/39 [==============================] - 0s 870us/step - loss: 0.5607 Epoch 81/150 39/39 [==============================] - 0s 895us/step - loss: 0.5592 Epoch 82/150 39/39 [==============================] - 0s 869us/step - loss: 0.5588 Epoch 83/150 39/39 [==============================] - 0s 844us/step - loss: 0.5602 Epoch 84/150 39/39 [==============================] - 0s 895us/step - loss: 0.5619 Epoch 85/150 39/39 [==============================] - 0s 844us/step - loss: 0.5604 Epoch 86/150 39/39 [==============================] - 0s 869us/step - loss: 0.5585 Epoch 87/150 39/39 [==============================] - 0s 895us/step - loss: 0.5594 Epoch 88/150 39/39 [==============================] - 0s 895us/step - loss: 0.5579 Epoch 89/150 39/39 [==============================] - 0s 869us/step - loss: 0.5627 Epoch 90/150 39/39 [==============================] - 0s 869us/step - loss: 0.5610 Epoch 91/150 39/39 [==============================] - 0s 869us/step - loss: 0.5578 Epoch 92/150 39/39 [==============================] - 0s 869us/step - loss: 0.5579 Epoch 93/150 39/39 [==============================] - 0s 895us/step - loss: 0.5569 Epoch 94/150 39/39 [==============================] - 0s 921us/step - loss: 0.5565 Epoch 95/150 39/39 [==============================] - 0s 869us/step - loss: 0.5561 Epoch 96/150 39/39 [==============================] - 0s 869us/step - loss: 0.5585 Epoch 97/150 39/39 [==============================] - 0s 921us/step - loss: 0.5556 Epoch 98/150 39/39 [==============================] - 0s 895us/step - loss: 0.5595 Epoch 99/150 39/39 [==============================] - 0s 869us/step - loss: 0.5557 Epoch 100/150 39/39 [==============================] - 0s 895us/step - loss: 0.5566 Epoch 101/150 39/39 [==============================] - 0s 921us/step - loss: 0.5560 Epoch 102/150 39/39 [==============================] - 0s 895us/step - loss: 0.5546 Epoch 103/150 39/39 [==============================] - 0s 844us/step - loss: 0.5724 Epoch 104/150 39/39 [==============================] - 0s 869us/step - loss: 0.5569 Epoch 105/150 39/39 [==============================] - 0s 844us/step - loss: 0.5540 Epoch 106/150 39/39 [==============================] - 0s 946us/step - loss: 0.5572 Epoch 107/150 39/39 [==============================] - 0s 844us/step - loss: 0.5542 Epoch 108/150 39/39 [==============================] - 0s 895us/step - loss: 0.5545 Epoch 109/150 39/39 [==============================] - 0s 818us/step - loss: 0.5589 Epoch 110/150 39/39 [==============================] - 0s 895us/step - loss: 0.5539 Epoch 111/150 39/39 [==============================] - 0s 895us/step - loss: 0.5571 Epoch 112/150 39/39 [==============================] - 0s 921us/step - loss: 0.5585 Epoch 113/150 39/39 [==============================] - 0s 818us/step - loss: 0.5555 Epoch 114/150 39/39 [==============================] - 0s 869us/step - loss: 0.5569 Epoch 115/150 39/39 [==============================] - 0s 844us/step - loss: 0.5541 Epoch 116/150 39/39 [==============================] - 0s 921us/step - loss: 0.5546 Epoch 117/150 39/39 [==============================] - 0s 946us/step - loss: 0.5536 Epoch 118/150 39/39 [==============================] - 0s 895us/step - loss: 0.5533 Epoch 119/150 39/39 [==============================] - 0s 895us/step - loss: 0.5531 Epoch 120/150 39/39 [==============================] - 0s 921us/step - loss: 0.5534 Epoch 121/150 39/39 [==============================] - 0s 869us/step - loss: 0.5590 Epoch 122/150 39/39 [==============================] - 0s 818us/step - loss: 0.5547 Epoch 123/150 39/39 [==============================] - 0s 844us/step - loss: 0.5519 Epoch 124/150 39/39 [==============================] - 0s 895us/step - loss: 0.5569 Epoch 125/150 39/39 [==============================] - 0s 895us/step - loss: 0.5532 Epoch 126/150 39/39 [==============================] - 0s 895us/step - loss: 0.5511 Epoch 127/150 39/39 [==============================] - 0s 921us/step - loss: 0.5506 Epoch 128/150 39/39 [==============================] - 0s 844us/step - loss: 0.5529 Epoch 129/150 39/39 [==============================] - 0s 844us/step - loss: 0.5549 Epoch 130/150 39/39 [==============================] - 0s 793us/step - loss: 0.5514 Epoch 131/150 39/39 [==============================] - 0s 870us/step - loss: 0.5511 Epoch 132/150 39/39 [==============================] - 0s 844us/step - loss: 0.5522 Epoch 133/150 39/39 [==============================] - 0s 921us/step - loss: 0.5522 Epoch 134/150 39/39 [==============================] - 0s 895us/step - loss: 0.5502 Epoch 135/150 39/39 [==============================] - 0s 972us/step - loss: 0.5511 Epoch 136/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5500 Epoch 137/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5502 Epoch 138/150 39/39 [==============================] - 0s 972us/step - loss: 0.5495 Epoch 139/150 39/39 [==============================] - 0s 972us/step - loss: 0.5504 Epoch 140/150 39/39 [==============================] - 0s 946us/step - loss: 0.5495 Epoch 141/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5510 Epoch 142/150 39/39 [==============================] - 0s 997us/step - loss: 0.5500 Epoch 143/150 39/39 [==============================] - 0s 921us/step - loss: 0.5507 Epoch 144/150 39/39 [==============================] - 0s 972us/step - loss: 0.5494 Epoch 145/150 39/39 [==============================] - 0s 921us/step - loss: 0.5554 Epoch 146/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5497 Epoch 147/150 39/39 [==============================] - 0s 946us/step - loss: 0.5506 Epoch 148/150 39/39 [==============================] - 0s 921us/step - loss: 0.5502 Epoch 149/150 39/39 [==============================] - 0s 997us/step - loss: 0.5472 Epoch 150/150 39/39 [==============================] - 0s 921us/step - loss: 0.5503 ###################################################################### Accuracy: 72.75240236515974 Epoch 1/150 39/39 [==============================] - 0s 1ms/step - loss: 0.9738 Epoch 2/150 39/39 [==============================] - 0s 921us/step - loss: 0.9544 Epoch 3/150 39/39 [==============================] - 0s 895us/step - loss: 0.8909 Epoch 4/150 39/39 [==============================] - 0s 946us/step - loss: 0.7725 Epoch 5/150 39/39 [==============================] - 0s 869us/step - loss: 0.6767 Epoch 6/150 39/39 [==============================] - 0s 946us/step - loss: 0.6342 Epoch 7/150 39/39 [==============================] - 0s 869us/step - loss: 0.6259 Epoch 8/150 39/39 [==============================] - 0s 793us/step - loss: 0.6209 Epoch 9/150 39/39 [==============================] - 0s 818us/step - loss: 0.6191 Epoch 10/150 39/39 [==============================] - 0s 767us/step - loss: 0.6141 Epoch 11/150 39/39 [==============================] - 0s 869us/step - loss: 0.6112 Epoch 12/150 39/39 [==============================] - 0s 819us/step - loss: 0.6093 Epoch 13/150 39/39 [==============================] - 0s 793us/step - loss: 0.6060 Epoch 14/150 39/39 [==============================] - 0s 844us/step - loss: 0.6054 Epoch 15/150 39/39 [==============================] - 0s 895us/step - loss: 0.6039 Epoch 16/150 39/39 [==============================] - 0s 767us/step - loss: 0.6025 Epoch 17/150 39/39 [==============================] - 0s 895us/step - loss: 0.6002 Epoch 18/150 39/39 [==============================] - 0s 870us/step - loss: 0.5987 Epoch 19/150 39/39 [==============================] - 0s 818us/step - loss: 0.5980 Epoch 20/150 39/39 [==============================] - 0s 921us/step - loss: 0.5929 Epoch 21/150 39/39 [==============================] - 0s 818us/step - loss: 0.5916 Epoch 22/150 39/39 [==============================] - 0s 895us/step - loss: 0.5913 Epoch 23/150 39/39 [==============================] - 0s 818us/step - loss: 0.5885 Epoch 24/150 39/39 [==============================] - 0s 869us/step - loss: 0.5870 Epoch 25/150 39/39 [==============================] - 0s 921us/step - loss: 0.5862 Epoch 26/150 39/39 [==============================] - 0s 869us/step - loss: 0.5852 Epoch 27/150 39/39 [==============================] - 0s 869us/step - loss: 0.5843 Epoch 28/150 39/39 [==============================] - 0s 997us/step - loss: 0.5828 Epoch 29/150 39/39 [==============================] - 0s 869us/step - loss: 0.5826 Epoch 30/150 39/39 [==============================] - 0s 895us/step - loss: 0.5796 Epoch 31/150 39/39 [==============================] - 0s 869us/step - loss: 0.5811 Epoch 32/150 39/39 [==============================] - 0s 818us/step - loss: 0.5782 Epoch 33/150 39/39 [==============================] - 0s 895us/step - loss: 0.5761 Epoch 34/150 39/39 [==============================] - 0s 895us/step - loss: 0.5745 Epoch 35/150 39/39 [==============================] - 0s 869us/step - loss: 0.5738 Epoch 36/150 39/39 [==============================] - 0s 895us/step - loss: 0.5755 Epoch 37/150 39/39 [==============================] - 0s 921us/step - loss: 0.5725 Epoch 38/150 39/39 [==============================] - 0s 844us/step - loss: 0.5731 Epoch 39/150 39/39 [==============================] - 0s 869us/step - loss: 0.5710 Epoch 40/150 39/39 [==============================] - 0s 844us/step - loss: 0.5700 Epoch 41/150 39/39 [==============================] - 0s 869us/step - loss: 0.5695 Epoch 42/150 39/39 [==============================] - 0s 844us/step - loss: 0.5702 Epoch 43/150 39/39 [==============================] - 0s 869us/step - loss: 0.5729 Epoch 44/150 39/39 [==============================] - 0s 869us/step - loss: 0.5667 Epoch 45/150 39/39 [==============================] - 0s 921us/step - loss: 0.5653 Epoch 46/150 39/39 [==============================] - 0s 844us/step - loss: 0.5648 Epoch 47/150 39/39 [==============================] - 0s 844us/step - loss: 0.5642 Epoch 48/150 39/39 [==============================] - 0s 869us/step - loss: 0.5632 Epoch 49/150 39/39 [==============================] - 0s 895us/step - loss: 0.5633 Epoch 50/150 39/39 [==============================] - 0s 895us/step - loss: 0.5627 Epoch 51/150 39/39 [==============================] - 0s 869us/step - loss: 0.5618 Epoch 52/150 39/39 [==============================] - 0s 844us/step - loss: 0.5600 Epoch 53/150 39/39 [==============================] - 0s 869us/step - loss: 0.5604 Epoch 54/150 39/39 [==============================] - 0s 921us/step - loss: 0.5604 Epoch 55/150 39/39 [==============================] - 0s 895us/step - loss: 0.5595 Epoch 56/150 39/39 [==============================] - 0s 869us/step - loss: 0.5596 Epoch 57/150 39/39 [==============================] - 0s 921us/step - loss: 0.5583 Epoch 58/150 39/39 [==============================] - 0s 844us/step - loss: 0.5588 Epoch 59/150 39/39 [==============================] - 0s 844us/step - loss: 0.5581 Epoch 60/150 39/39 [==============================] - 0s 869us/step - loss: 0.5566 Epoch 61/150 39/39 [==============================] - 0s 869us/step - loss: 0.5569 Epoch 62/150 39/39 [==============================] - 0s 921us/step - loss: 0.5572 Epoch 63/150 39/39 [==============================] - 0s 895us/step - loss: 0.5553 Epoch 64/150 39/39 [==============================] - 0s 844us/step - loss: 0.5565 Epoch 65/150 39/39 [==============================] - 0s 869us/step - loss: 0.5543 Epoch 66/150 39/39 [==============================] - 0s 869us/step - loss: 0.5561 Epoch 67/150 39/39 [==============================] - 0s 895us/step - loss: 0.5545 Epoch 68/150 39/39 [==============================] - 0s 869us/step - loss: 0.5627 Epoch 69/150 39/39 [==============================] - 0s 895us/step - loss: 0.5558 Epoch 70/150 39/39 [==============================] - 0s 895us/step - loss: 0.5546 Epoch 71/150 39/39 [==============================] - 0s 870us/step - loss: 0.5536 Epoch 72/150 39/39 [==============================] - 0s 793us/step - loss: 0.5522 Epoch 73/150 39/39 [==============================] - 0s 844us/step - loss: 0.5544 Epoch 74/150 39/39 [==============================] - 0s 869us/step - loss: 0.5543 Epoch 75/150 39/39 [==============================] - 0s 818us/step - loss: 0.5513 Epoch 76/150 39/39 [==============================] - 0s 895us/step - loss: 0.5528 Epoch 77/150 39/39 [==============================] - 0s 895us/step - loss: 0.5525 Epoch 78/150 39/39 [==============================] - 0s 895us/step - loss: 0.5513 Epoch 79/150 39/39 [==============================] - 0s 921us/step - loss: 0.5517 Epoch 80/150 39/39 [==============================] - 0s 895us/step - loss: 0.5504 Epoch 81/150 39/39 [==============================] - 0s 818us/step - loss: 0.5500 Epoch 82/150 39/39 [==============================] - 0s 844us/step - loss: 0.5488 Epoch 83/150 39/39 [==============================] - 0s 869us/step - loss: 0.5497 Epoch 84/150 39/39 [==============================] - 0s 869us/step - loss: 0.5490 Epoch 85/150 39/39 [==============================] - 0s 869us/step - loss: 0.5474 Epoch 86/150 39/39 [==============================] - 0s 895us/step - loss: 0.5475 Epoch 87/150 39/39 [==============================] - 0s 921us/step - loss: 0.5476 Epoch 88/150 39/39 [==============================] - 0s 895us/step - loss: 0.5458 Epoch 89/150 39/39 [==============================] - 0s 869us/step - loss: 0.5465 Epoch 90/150 39/39 [==============================] - 0s 818us/step - loss: 0.5454 Epoch 91/150 39/39 [==============================] - 0s 895us/step - loss: 0.5441 Epoch 92/150 39/39 [==============================] - 0s 844us/step - loss: 0.5544 Epoch 93/150 39/39 [==============================] - 0s 869us/step - loss: 0.5433 Epoch 94/150 39/39 [==============================] - 0s 818us/step - loss: 0.5433 Epoch 95/150 39/39 [==============================] - 0s 869us/step - loss: 0.5455 Epoch 96/150 39/39 [==============================] - 0s 793us/step - loss: 0.5412 Epoch 97/150 39/39 [==============================] - 0s 869us/step - loss: 0.5428 Epoch 98/150 39/39 [==============================] - 0s 869us/step - loss: 0.5423 Epoch 99/150 39/39 [==============================] - 0s 895us/step - loss: 0.5417 Epoch 100/150 39/39 [==============================] - 0s 844us/step - loss: 0.5417 Epoch 101/150 39/39 [==============================] - 0s 921us/step - loss: 0.5406 Epoch 102/150 39/39 [==============================] - 0s 921us/step - loss: 0.5397 Epoch 103/150 39/39 [==============================] - 0s 895us/step - loss: 0.5402 Epoch 104/150 39/39 [==============================] - 0s 844us/step - loss: 0.5431 Epoch 105/150 39/39 [==============================] - 0s 818us/step - loss: 0.5425 Epoch 106/150 39/39 [==============================] - 0s 818us/step - loss: 0.5413 Epoch 107/150 39/39 [==============================] - 0s 895us/step - loss: 0.5388 Epoch 108/150 39/39 [==============================] - 0s 844us/step - loss: 0.5403 Epoch 109/150 39/39 [==============================] - 0s 844us/step - loss: 0.5428 Epoch 110/150 39/39 [==============================] - 0s 818us/step - loss: 0.5379 Epoch 111/150 39/39 [==============================] - 0s 818us/step - loss: 0.5369 Epoch 112/150 39/39 [==============================] - 0s 818us/step - loss: 0.5365 Epoch 113/150 39/39 [==============================] - 0s 844us/step - loss: 0.5357 Epoch 114/150 39/39 [==============================] - 0s 869us/step - loss: 0.5353 Epoch 115/150 39/39 [==============================] - 0s 895us/step - loss: 0.5368 Epoch 116/150 39/39 [==============================] - 0s 895us/step - loss: 0.5364 Epoch 117/150 39/39 [==============================] - 0s 895us/step - loss: 0.5353 Epoch 118/150 39/39 [==============================] - 0s 869us/step - loss: 0.5344 Epoch 119/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5341 Epoch 120/150 39/39 [==============================] - 0s 895us/step - loss: 0.5341 Epoch 121/150 39/39 [==============================] - 0s 972us/step - loss: 0.5346 Epoch 122/150 39/39 [==============================] - 0s 921us/step - loss: 0.5338 Epoch 123/150 39/39 [==============================] - 0s 870us/step - loss: 0.5361 Epoch 124/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5339 Epoch 125/150 39/39 [==============================] - 0s 869us/step - loss: 0.5326 Epoch 126/150 39/39 [==============================] - 0s 869us/step - loss: 0.5342 Epoch 127/150 39/39 [==============================] - 0s 869us/step - loss: 0.5350 Epoch 128/150 39/39 [==============================] - 0s 844us/step - loss: 0.5337 Epoch 129/150 39/39 [==============================] - 0s 895us/step - loss: 0.5342 Epoch 130/150 39/39 [==============================] - 0s 895us/step - loss: 0.5333 Epoch 131/150 39/39 [==============================] - 0s 844us/step - loss: 0.5351 Epoch 132/150 39/39 [==============================] - 0s 869us/step - loss: 0.5333 Epoch 133/150 39/39 [==============================] - 0s 946us/step - loss: 0.5316 Epoch 134/150 39/39 [==============================] - 0s 895us/step - loss: 0.5326 Epoch 135/150 39/39 [==============================] - 0s 844us/step - loss: 0.5309 Epoch 136/150 39/39 [==============================] - 0s 844us/step - loss: 0.5303 Epoch 137/150 39/39 [==============================] - 0s 895us/step - loss: 0.5300 Epoch 138/150 39/39 [==============================] - 0s 869us/step - loss: 0.5297 Epoch 139/150 39/39 [==============================] - 0s 869us/step - loss: 0.5303 Epoch 140/150 39/39 [==============================] - 0s 869us/step - loss: 0.5284 Epoch 141/150 39/39 [==============================] - 0s 844us/step - loss: 0.5283 Epoch 142/150 39/39 [==============================] - 0s 870us/step - loss: 0.5280 Epoch 143/150 39/39 [==============================] - 0s 921us/step - loss: 0.5283 Epoch 144/150 39/39 [==============================] - 0s 895us/step - loss: 0.5275 Epoch 145/150 39/39 [==============================] - 0s 921us/step - loss: 0.5310 Epoch 146/150 39/39 [==============================] - 0s 844us/step - loss: 0.5319 Epoch 147/150 39/39 [==============================] - 0s 946us/step - loss: 0.5299 Epoch 148/150 39/39 [==============================] - 0s 844us/step - loss: 0.5276 Epoch 149/150 39/39 [==============================] - 0s 895us/step - loss: 0.5266 Epoch 150/150 39/39 [==============================] - 0s 895us/step - loss: 0.5272 ###################################################################### Accuracy: 89.82851376975053 Epoch 1/150 39/39 [==============================] - 0s 1ms/step - loss: 1.0182 Epoch 2/150 39/39 [==============================] - 0s 862us/step - loss: 1.0099 Epoch 3/150 39/39 [==============================] - 0s 869us/step - loss: 0.9699 Epoch 4/150 39/39 [==============================] - 0s 869us/step - loss: 0.8620 Epoch 5/150 39/39 [==============================] - 0s 844us/step - loss: 0.7363 Epoch 6/150 39/39 [==============================] - 0s 818us/step - loss: 0.6684 Epoch 7/150 39/39 [==============================] - 0s 793us/step - loss: 0.6499 Epoch 8/150 39/39 [==============================] - 0s 844us/step - loss: 0.6408 Epoch 9/150 39/39 [==============================] - 0s 895us/step - loss: 0.6361 Epoch 10/150 39/39 [==============================] - 0s 895us/step - loss: 0.6322 Epoch 11/150 39/39 [==============================] - 0s 921us/step - loss: 0.6277 Epoch 12/150 39/39 [==============================] - 0s 844us/step - loss: 0.6254 Epoch 13/150 39/39 [==============================] - 0s 844us/step - loss: 0.6226 Epoch 14/150 39/39 [==============================] - 0s 818us/step - loss: 0.6197 Epoch 15/150 39/39 [==============================] - 0s 869us/step - loss: 0.6165 Epoch 16/150 39/39 [==============================] - 0s 895us/step - loss: 0.6150 Epoch 17/150 39/39 [==============================] - 0s 921us/step - loss: 0.6126 Epoch 18/150 39/39 [==============================] - 0s 844us/step - loss: 0.6101 Epoch 19/150 39/39 [==============================] - 0s 844us/step - loss: 0.6076 Epoch 20/150 39/39 [==============================] - 0s 869us/step - loss: 0.6064 Epoch 21/150 39/39 [==============================] - 0s 869us/step - loss: 0.6053 Epoch 22/150 39/39 [==============================] - 0s 921us/step - loss: 0.6040 Epoch 23/150 39/39 [==============================] - 0s 895us/step - loss: 0.6006 Epoch 24/150 39/39 [==============================] - 0s 921us/step - loss: 0.5990 Epoch 25/150 39/39 [==============================] - 0s 921us/step - loss: 0.5976 Epoch 26/150 39/39 [==============================] - 0s 869us/step - loss: 0.6001 Epoch 27/150 39/39 [==============================] - 0s 818us/step - loss: 0.5959 Epoch 28/150 39/39 [==============================] - 0s 869us/step - loss: 0.5935 Epoch 29/150 39/39 [==============================] - 0s 844us/step - loss: 0.5924 Epoch 30/150 39/39 [==============================] - 0s 895us/step - loss: 0.5912 Epoch 31/150 39/39 [==============================] - 0s 869us/step - loss: 0.5883 Epoch 32/150 39/39 [==============================] - 0s 921us/step - loss: 0.5885 Epoch 33/150 39/39 [==============================] - 0s 895us/step - loss: 0.5868 Epoch 34/150 39/39 [==============================] - 0s 921us/step - loss: 0.5862 Epoch 35/150 39/39 [==============================] - 0s 895us/step - loss: 0.5872 Epoch 36/150 39/39 [==============================] - 0s 895us/step - loss: 0.5869 Epoch 37/150 39/39 [==============================] - 0s 793us/step - loss: 0.5837 Epoch 38/150 39/39 [==============================] - 0s 767us/step - loss: 0.5821 Epoch 39/150 39/39 [==============================] - 0s 818us/step - loss: 0.5802 Epoch 40/150 39/39 [==============================] - 0s 844us/step - loss: 0.5789 Epoch 41/150 39/39 [==============================] - 0s 767us/step - loss: 0.5799 Epoch 42/150 39/39 [==============================] - 0s 793us/step - loss: 0.5783 Epoch 43/150 39/39 [==============================] - 0s 844us/step - loss: 0.5775 Epoch 44/150 39/39 [==============================] - 0s 869us/step - loss: 0.5763 Epoch 45/150 39/39 [==============================] - 0s 818us/step - loss: 0.5767 Epoch 46/150 39/39 [==============================] - 0s 844us/step - loss: 0.5754 Epoch 47/150 39/39 [==============================] - 0s 869us/step - loss: 0.5769 Epoch 48/150 39/39 [==============================] - 0s 869us/step - loss: 0.5740 Epoch 49/150 39/39 [==============================] - 0s 869us/step - loss: 0.5729 Epoch 50/150 39/39 [==============================] - 0s 895us/step - loss: 0.5723 Epoch 51/150 39/39 [==============================] - 0s 895us/step - loss: 0.5709 Epoch 52/150 39/39 [==============================] - 0s 895us/step - loss: 0.5714 Epoch 53/150 39/39 [==============================] - 0s 895us/step - loss: 0.5714 Epoch 54/150 39/39 [==============================] - 0s 895us/step - loss: 0.5709 Epoch 55/150 39/39 [==============================] - 0s 818us/step - loss: 0.5699 Epoch 56/150 39/39 [==============================] - 0s 844us/step - loss: 0.5674 Epoch 57/150 39/39 [==============================] - 0s 869us/step - loss: 0.5685 Epoch 58/150 39/39 [==============================] - 0s 921us/step - loss: 0.5674 Epoch 59/150 39/39 [==============================] - 0s 818us/step - loss: 0.5680 Epoch 60/150 39/39 [==============================] - 0s 869us/step - loss: 0.5674 Epoch 61/150 39/39 [==============================] - 0s 818us/step - loss: 0.5666 Epoch 62/150 39/39 [==============================] - 0s 844us/step - loss: 0.5657 Epoch 63/150 39/39 [==============================] - 0s 869us/step - loss: 0.5669 Epoch 64/150 39/39 [==============================] - 0s 895us/step - loss: 0.5651 Epoch 65/150 39/39 [==============================] - 0s 869us/step - loss: 0.5692 Epoch 66/150 39/39 [==============================] - 0s 921us/step - loss: 0.5637 Epoch 67/150 39/39 [==============================] - 0s 895us/step - loss: 0.5622 Epoch 68/150 39/39 [==============================] - 0s 844us/step - loss: 0.5615 Epoch 69/150 39/39 [==============================] - 0s 844us/step - loss: 0.5609 Epoch 70/150 39/39 [==============================] - 0s 895us/step - loss: 0.5609 Epoch 71/150 39/39 [==============================] - 0s 844us/step - loss: 0.5609 Epoch 72/150 39/39 [==============================] - 0s 844us/step - loss: 0.5637 Epoch 73/150 39/39 [==============================] - 0s 869us/step - loss: 0.5595 Epoch 74/150 39/39 [==============================] - 0s 819us/step - loss: 0.5607 Epoch 75/150 39/39 [==============================] - 0s 946us/step - loss: 0.5573 Epoch 76/150 39/39 [==============================] - 0s 844us/step - loss: 0.5584 Epoch 77/150 39/39 [==============================] - 0s 869us/step - loss: 0.5574 Epoch 78/150 39/39 [==============================] - 0s 869us/step - loss: 0.5597 Epoch 79/150 39/39 [==============================] - 0s 869us/step - loss: 0.5585 Epoch 80/150 39/39 [==============================] - 0s 869us/step - loss: 0.5571 Epoch 81/150 39/39 [==============================] - 0s 895us/step - loss: 0.5567 Epoch 82/150 39/39 [==============================] - 0s 895us/step - loss: 0.5555 Epoch 83/150 39/39 [==============================] - 0s 793us/step - loss: 0.5569 Epoch 84/150 39/39 [==============================] - 0s 870us/step - loss: 0.5564 Epoch 85/150 39/39 [==============================] - 0s 844us/step - loss: 0.5556 Epoch 86/150 39/39 [==============================] - 0s 946us/step - loss: 0.5539 Epoch 87/150 39/39 [==============================] - 0s 818us/step - loss: 0.5568 Epoch 88/150 39/39 [==============================] - 0s 870us/step - loss: 0.5538 Epoch 89/150 39/39 [==============================] - 0s 869us/step - loss: 0.5541 Epoch 90/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5520 Epoch 91/150 39/39 [==============================] - 0s 895us/step - loss: 0.5519 Epoch 92/150 39/39 [==============================] - 0s 870us/step - loss: 0.5522 Epoch 93/150 39/39 [==============================] - 0s 895us/step - loss: 0.5504 Epoch 94/150 39/39 [==============================] - 0s 844us/step - loss: 0.5546 Epoch 95/150 39/39 [==============================] - 0s 895us/step - loss: 0.5504 Epoch 96/150 39/39 [==============================] - 0s 921us/step - loss: 0.5507 Epoch 97/150 39/39 [==============================] - 0s 844us/step - loss: 0.5503 Epoch 98/150 39/39 [==============================] - 0s 869us/step - loss: 0.5495 Epoch 99/150 39/39 [==============================] - 0s 972us/step - loss: 0.5497 Epoch 100/150 39/39 [==============================] - 0s 869us/step - loss: 0.5520 Epoch 101/150 39/39 [==============================] - 0s 946us/step - loss: 0.5496 Epoch 102/150 39/39 [==============================] - 0s 895us/step - loss: 0.5477 Epoch 103/150 39/39 [==============================] - 0s 869us/step - loss: 0.5519 Epoch 104/150 39/39 [==============================] - 0s 844us/step - loss: 0.5476 Epoch 105/150 39/39 [==============================] - 0s 844us/step - loss: 0.5473 Epoch 106/150 39/39 [==============================] - 0s 921us/step - loss: 0.5455 Epoch 107/150 39/39 [==============================] - 0s 895us/step - loss: 0.5457 Epoch 108/150 39/39 [==============================] - 0s 921us/step - loss: 0.5454 Epoch 109/150 39/39 [==============================] - 0s 869us/step - loss: 0.5467 Epoch 110/150 39/39 [==============================] - 0s 869us/step - loss: 0.5460 Epoch 111/150 39/39 [==============================] - 0s 818us/step - loss: 0.5448 Epoch 112/150 39/39 [==============================] - 0s 844us/step - loss: 0.5444 Epoch 113/150 39/39 [==============================] - 0s 844us/step - loss: 0.5443 Epoch 114/150 39/39 [==============================] - 0s 844us/step - loss: 0.5452 Epoch 115/150 39/39 [==============================] - 0s 895us/step - loss: 0.5501 Epoch 116/150 39/39 [==============================] - 0s 844us/step - loss: 0.5456 Epoch 117/150 39/39 [==============================] - 0s 844us/step - loss: 0.5492 Epoch 118/150 39/39 [==============================] - 0s 844us/step - loss: 0.5542 Epoch 119/150 39/39 [==============================] - 0s 793us/step - loss: 0.5432 Epoch 120/150 39/39 [==============================] - 0s 869us/step - loss: 0.5447 Epoch 121/150 39/39 [==============================] - 0s 895us/step - loss: 0.5444 Epoch 122/150 39/39 [==============================] - 0s 921us/step - loss: 0.5423 Epoch 123/150 39/39 [==============================] - 0s 921us/step - loss: 0.5408 Epoch 124/150 39/39 [==============================] - 0s 895us/step - loss: 0.5413 Epoch 125/150 39/39 [==============================] - 0s 895us/step - loss: 0.5391 Epoch 126/150 39/39 [==============================] - 0s 793us/step - loss: 0.5438 Epoch 127/150 39/39 [==============================] - 0s 818us/step - loss: 0.5415 Epoch 128/150 39/39 [==============================] - 0s 869us/step - loss: 0.5400 Epoch 129/150 39/39 [==============================] - 0s 793us/step - loss: 0.5382 Epoch 130/150 39/39 [==============================] - 0s 767us/step - loss: 0.5379 Epoch 131/150 39/39 [==============================] - 0s 869us/step - loss: 0.5412 Epoch 132/150 39/39 [==============================] - 0s 818us/step - loss: 0.5394 Epoch 133/150 39/39 [==============================] - 0s 844us/step - loss: 0.5372 Epoch 134/150 39/39 [==============================] - 0s 895us/step - loss: 0.5361 Epoch 135/150 39/39 [==============================] - 0s 895us/step - loss: 0.5356 Epoch 136/150 39/39 [==============================] - 0s 869us/step - loss: 0.5378 Epoch 137/150 39/39 [==============================] - 0s 895us/step - loss: 0.5361 Epoch 138/150 39/39 [==============================] - 0s 895us/step - loss: 0.5343 Epoch 139/150 39/39 [==============================] - 0s 946us/step - loss: 0.5356 Epoch 140/150 39/39 [==============================] - 0s 921us/step - loss: 0.5343 Epoch 141/150 39/39 [==============================] - 0s 793us/step - loss: 0.5339 Epoch 142/150 39/39 [==============================] - 0s 844us/step - loss: 0.5328 Epoch 143/150 39/39 [==============================] - 0s 818us/step - loss: 0.5335 Epoch 144/150 39/39 [==============================] - 0s 870us/step - loss: 0.5347 Epoch 145/150 39/39 [==============================] - 0s 818us/step - loss: 0.5360 Epoch 146/150 39/39 [==============================] - 0s 793us/step - loss: 0.5339 Epoch 147/150 39/39 [==============================] - 0s 895us/step - loss: 0.5329 Epoch 148/150 39/39 [==============================] - 0s 921us/step - loss: 0.5324 Epoch 149/150 39/39 [==============================] - 0s 921us/step - loss: 0.5308 Epoch 150/150 39/39 [==============================] - 0s 895us/step - loss: 0.5304 ###################################################################### Accuracy: 74.14538929259979 Epoch 1/150 39/39 [==============================] - 0s 949us/step - loss: 1.0007 Epoch 2/150 39/39 [==============================] - 0s 921us/step - loss: 0.9864 Epoch 3/150 39/39 [==============================] - 0s 997us/step - loss: 0.9410 Epoch 4/150 39/39 [==============================] - 0s 907us/step - loss: 0.8539 Epoch 5/150 39/39 [==============================] - 0s 895us/step - loss: 0.7649 Epoch 6/150 39/39 [==============================] - 0s 844us/step - loss: 0.6967 Epoch 7/150 39/39 [==============================] - 0s 767us/step - loss: 0.6577 Epoch 8/150 39/39 [==============================] - 0s 818us/step - loss: 0.6427 Epoch 9/150 39/39 [==============================] - 0s 895us/step - loss: 0.6333 Epoch 10/150 39/39 [==============================] - 0s 869us/step - loss: 0.6284 Epoch 11/150 39/39 [==============================] - 0s 869us/step - loss: 0.6250 Epoch 12/150 39/39 [==============================] - 0s 844us/step - loss: 0.6246 Epoch 13/150 39/39 [==============================] - 0s 819us/step - loss: 0.6180 Epoch 14/150 39/39 [==============================] - 0s 895us/step - loss: 0.6144 Epoch 15/150 39/39 [==============================] - 0s 895us/step - loss: 0.6115 Epoch 16/150 39/39 [==============================] - 0s 869us/step - loss: 0.6092 Epoch 17/150 39/39 [==============================] - 0s 921us/step - loss: 0.6079 Epoch 18/150 39/39 [==============================] - 0s 921us/step - loss: 0.6058 Epoch 19/150 39/39 [==============================] - 0s 869us/step - loss: 0.6042 Epoch 20/150 39/39 [==============================] - 0s 844us/step - loss: 0.6006 Epoch 21/150 39/39 [==============================] - 0s 869us/step - loss: 0.5988 Epoch 22/150 39/39 [==============================] - 0s 921us/step - loss: 0.5975 Epoch 23/150 39/39 [==============================] - 0s 921us/step - loss: 0.5957 Epoch 24/150 39/39 [==============================] - 0s 869us/step - loss: 0.5929 Epoch 25/150 39/39 [==============================] - 0s 869us/step - loss: 0.5917 Epoch 26/150 39/39 [==============================] - 0s 921us/step - loss: 0.5903 Epoch 27/150 39/39 [==============================] - 0s 895us/step - loss: 0.5891 Epoch 28/150 39/39 [==============================] - 0s 869us/step - loss: 0.5868 Epoch 29/150 39/39 [==============================] - 0s 895us/step - loss: 0.5883 Epoch 30/150 39/39 [==============================] - 0s 895us/step - loss: 0.5850 Epoch 31/150 39/39 [==============================] - 0s 895us/step - loss: 0.5833 Epoch 32/150 39/39 [==============================] - 0s 895us/step - loss: 0.5835 Epoch 33/150 39/39 [==============================] - 0s 844us/step - loss: 0.5812 Epoch 34/150 39/39 [==============================] - 0s 895us/step - loss: 0.5809 Epoch 35/150 39/39 [==============================] - 0s 895us/step - loss: 0.5821 Epoch 36/150 39/39 [==============================] - 0s 895us/step - loss: 0.5789 Epoch 37/150 39/39 [==============================] - 0s 921us/step - loss: 0.5789 Epoch 38/150 39/39 [==============================] - 0s 895us/step - loss: 0.5773 Epoch 39/150 39/39 [==============================] - 0s 895us/step - loss: 0.5769 Epoch 40/150 39/39 [==============================] - 0s 895us/step - loss: 0.5790 Epoch 41/150 39/39 [==============================] - 0s 870us/step - loss: 0.5766 Epoch 42/150 39/39 [==============================] - 0s 895us/step - loss: 0.5756 Epoch 43/150 39/39 [==============================] - 0s 844us/step - loss: 0.5759 Epoch 44/150 39/39 [==============================] - 0s 844us/step - loss: 0.5752 Epoch 45/150 39/39 [==============================] - 0s 895us/step - loss: 0.5730 Epoch 46/150 39/39 [==============================] - 0s 869us/step - loss: 0.5720 Epoch 47/150 39/39 [==============================] - 0s 921us/step - loss: 0.5727 Epoch 48/150 39/39 [==============================] - 0s 869us/step - loss: 0.5710 Epoch 49/150 39/39 [==============================] - 0s 869us/step - loss: 0.5696 Epoch 50/150 39/39 [==============================] - 0s 895us/step - loss: 0.5697 Epoch 51/150 39/39 [==============================] - 0s 869us/step - loss: 0.5690 Epoch 52/150 39/39 [==============================] - 0s 921us/step - loss: 0.5691 Epoch 53/150 39/39 [==============================] - 0s 895us/step - loss: 0.5702 Epoch 54/150 39/39 [==============================] - 0s 869us/step - loss: 0.5697 Epoch 55/150 39/39 [==============================] - 0s 869us/step - loss: 0.5690 Epoch 56/150 39/39 [==============================] - 0s 869us/step - loss: 0.5691 Epoch 57/150 39/39 [==============================] - 0s 895us/step - loss: 0.5679 Epoch 58/150 39/39 [==============================] - 0s 895us/step - loss: 0.5658 Epoch 59/150 39/39 [==============================] - 0s 869us/step - loss: 0.5661 Epoch 60/150 39/39 [==============================] - 0s 972us/step - loss: 0.5657 Epoch 61/150 39/39 [==============================] - 0s 921us/step - loss: 0.5659 Epoch 62/150 39/39 [==============================] - 0s 869us/step - loss: 0.5649 Epoch 63/150 39/39 [==============================] - 0s 844us/step - loss: 0.5636 Epoch 64/150 39/39 [==============================] - 0s 869us/step - loss: 0.5643 Epoch 65/150 39/39 [==============================] - 0s 869us/step - loss: 0.5639 Epoch 66/150 39/39 [==============================] - 0s 895us/step - loss: 0.5628 Epoch 67/150 39/39 [==============================] - 0s 921us/step - loss: 0.5622 Epoch 68/150 39/39 [==============================] - 0s 921us/step - loss: 0.5651 Epoch 69/150 39/39 [==============================] - 0s 921us/step - loss: 0.5654 Epoch 70/150 39/39 [==============================] - 0s 818us/step - loss: 0.5642 Epoch 71/150 39/39 [==============================] - 0s 818us/step - loss: 0.5605 Epoch 72/150 39/39 [==============================] - 0s 793us/step - loss: 0.5610 Epoch 73/150 39/39 [==============================] - 0s 844us/step - loss: 0.5595 Epoch 74/150 39/39 [==============================] - 0s 895us/step - loss: 0.5600 Epoch 75/150 39/39 [==============================] - 0s 844us/step - loss: 0.5584 Epoch 76/150 39/39 [==============================] - 0s 946us/step - loss: 0.5579 Epoch 77/150 39/39 [==============================] - 0s 895us/step - loss: 0.5600 Epoch 78/150 39/39 [==============================] - 0s 895us/step - loss: 0.5568 Epoch 79/150 39/39 [==============================] - 0s 895us/step - loss: 0.5589 Epoch 80/150 39/39 [==============================] - 0s 844us/step - loss: 0.5565 Epoch 81/150 39/39 [==============================] - 0s 844us/step - loss: 0.5563 Epoch 82/150 39/39 [==============================] - 0s 844us/step - loss: 0.5555 Epoch 83/150 39/39 [==============================] - 0s 793us/step - loss: 0.5562 Epoch 84/150 39/39 [==============================] - 0s 793us/step - loss: 0.5555 Epoch 85/150 39/39 [==============================] - 0s 844us/step - loss: 0.5539 Epoch 86/150 39/39 [==============================] - 0s 818us/step - loss: 0.5530 Epoch 87/150 39/39 [==============================] - 0s 818us/step - loss: 0.5551 Epoch 88/150 39/39 [==============================] - 0s 793us/step - loss: 0.5529 Epoch 89/150 39/39 [==============================] - 0s 869us/step - loss: 0.5534 Epoch 90/150 39/39 [==============================] - 0s 818us/step - loss: 0.5527 Epoch 91/150 39/39 [==============================] - 0s 793us/step - loss: 0.5522 Epoch 92/150 39/39 [==============================] - 0s 844us/step - loss: 0.5523 Epoch 93/150 39/39 [==============================] - 0s 869us/step - loss: 0.5517 Epoch 94/150 39/39 [==============================] - 0s 793us/step - loss: 0.5590 Epoch 95/150 39/39 [==============================] - 0s 895us/step - loss: 0.5516 Epoch 96/150 39/39 [==============================] - 0s 921us/step - loss: 0.5515 Epoch 97/150 39/39 [==============================] - 0s 818us/step - loss: 0.5503 Epoch 98/150 39/39 [==============================] - 0s 844us/step - loss: 0.5498 Epoch 99/150 39/39 [==============================] - 0s 895us/step - loss: 0.5567 Epoch 100/150 39/39 [==============================] - 0s 895us/step - loss: 0.5504 Epoch 101/150 39/39 [==============================] - 0s 869us/step - loss: 0.5510 Epoch 102/150 39/39 [==============================] - 0s 869us/step - loss: 0.5520 Epoch 103/150 39/39 [==============================] - 0s 818us/step - loss: 0.5517 Epoch 104/150 39/39 [==============================] - 0s 844us/step - loss: 0.5490 Epoch 105/150 39/39 [==============================] - 0s 844us/step - loss: 0.5476 Epoch 106/150 39/39 [==============================] - 0s 895us/step - loss: 0.5508 Epoch 107/150 39/39 [==============================] - 0s 921us/step - loss: 0.5482 Epoch 108/150 39/39 [==============================] - 0s 818us/step - loss: 0.5463 Epoch 109/150 39/39 [==============================] - 0s 895us/step - loss: 0.5473 Epoch 110/150 39/39 [==============================] - 0s 946us/step - loss: 0.5456 Epoch 111/150 39/39 [==============================] - 0s 869us/step - loss: 0.5451 Epoch 112/150 39/39 [==============================] - 0s 895us/step - loss: 0.5467 Epoch 113/150 39/39 [==============================] - 0s 844us/step - loss: 0.5446 Epoch 114/150 39/39 [==============================] - 0s 921us/step - loss: 0.5446 Epoch 115/150 39/39 [==============================] - 0s 869us/step - loss: 0.5447 Epoch 116/150 39/39 [==============================] - 0s 869us/step - loss: 0.5450 Epoch 117/150 39/39 [==============================] - 0s 869us/step - loss: 0.5491 Epoch 118/150 39/39 [==============================] - 0s 869us/step - loss: 0.5464 Epoch 119/150 39/39 [==============================] - 0s 895us/step - loss: 0.5438 Epoch 120/150 39/39 [==============================] - 0s 895us/step - loss: 0.5452 Epoch 121/150 39/39 [==============================] - 0s 869us/step - loss: 0.5428 Epoch 122/150 39/39 [==============================] - 0s 869us/step - loss: 0.5437 Epoch 123/150 39/39 [==============================] - 0s 869us/step - loss: 0.5483 Epoch 124/150 39/39 [==============================] - 0s 869us/step - loss: 0.5461 Epoch 125/150 39/39 [==============================] - 0s 870us/step - loss: 0.5439 Epoch 126/150 39/39 [==============================] - 0s 844us/step - loss: 0.5436 Epoch 127/150 39/39 [==============================] - 0s 895us/step - loss: 0.5421 Epoch 128/150 39/39 [==============================] - 0s 844us/step - loss: 0.5419 Epoch 129/150 39/39 [==============================] - 0s 946us/step - loss: 0.5412 Epoch 130/150 39/39 [==============================] - 0s 869us/step - loss: 0.5437 Epoch 131/150 39/39 [==============================] - 0s 844us/step - loss: 0.5432 Epoch 132/150 39/39 [==============================] - 0s 895us/step - loss: 0.5405 Epoch 133/150 39/39 [==============================] - 0s 895us/step - loss: 0.5407 Epoch 134/150 39/39 [==============================] - 0s 921us/step - loss: 0.5423 Epoch 135/150 39/39 [==============================] - 0s 869us/step - loss: 0.5433 Epoch 136/150 39/39 [==============================] - 0s 869us/step - loss: 0.5415 Epoch 137/150 39/39 [==============================] - 0s 869us/step - loss: 0.5404 Epoch 138/150 39/39 [==============================] - 0s 895us/step - loss: 0.5404 Epoch 139/150 39/39 [==============================] - 0s 895us/step - loss: 0.5394 Epoch 140/150 39/39 [==============================] - 0s 895us/step - loss: 0.5390 Epoch 141/150 39/39 [==============================] - 0s 869us/step - loss: 0.5403 Epoch 142/150 39/39 [==============================] - 0s 895us/step - loss: 0.5404 Epoch 143/150 39/39 [==============================] - 0s 869us/step - loss: 0.5405 Epoch 144/150 39/39 [==============================] - 0s 895us/step - loss: 0.5386 Epoch 145/150 39/39 [==============================] - 0s 844us/step - loss: 0.5384 Epoch 146/150 39/39 [==============================] - 0s 895us/step - loss: 0.5397 Epoch 147/150 39/39 [==============================] - 0s 844us/step - loss: 0.5391 Epoch 148/150 39/39 [==============================] - 0s 895us/step - loss: 0.5385 Epoch 149/150 39/39 [==============================] - 0s 895us/step - loss: 0.5393 Epoch 150/150 39/39 [==============================] - 0s 895us/step - loss: 0.5380 ###################################################################### Accuracy: 73.46531717028512 Epoch 1/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0188 Epoch 2/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0178 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 1.0149 Epoch 4/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0073 Epoch 5/10 16/16 [==============================] - 0s 935us/step - loss: 0.9910 Epoch 6/10 16/16 [==============================] - 0s 997us/step - loss: 0.9600 Epoch 7/10 16/16 [==============================] - 0s 936us/step - loss: 0.9105 Epoch 8/10 16/16 [==============================] - 0s 997us/step - loss: 0.8454 Epoch 9/10 16/16 [==============================] - 0s 935us/step - loss: 0.7799 Epoch 10/10 16/16 [==============================] - 0s 935us/step - loss: 0.7206 ###################################################################### Accuracy: 75.92779800491701 Epoch 1/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9855 Epoch 2/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9818 Epoch 3/10 16/16 [==============================] - 0s 962us/step - loss: 0.9733 Epoch 4/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9558 Epoch 5/10 16/16 [==============================] - 0s 997us/step - loss: 0.9194 Epoch 6/10 16/16 [==============================] - 0s 935us/step - loss: 0.8710 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.8143 Epoch 8/10 16/16 [==============================] - 0s 935us/step - loss: 0.7761 Epoch 9/10 16/16 [==============================] - 0s 827us/step - loss: 0.7484 Epoch 10/10 16/16 [==============================] - 0s 935us/step - loss: 0.7291 ###################################################################### Accuracy: 103.14064782258548 Epoch 1/10 16/16 [==============================] - 0s 2ms/step - loss: 0.9768 Epoch 2/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9753 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 0.9715 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9620 Epoch 5/10 16/16 [==============================] - 0s 873us/step - loss: 0.9427 Epoch 6/10 16/16 [==============================] - 0s 997us/step - loss: 0.9104 Epoch 7/10 16/16 [==============================] - 0s 810us/step - loss: 0.8596 Epoch 8/10 16/16 [==============================] - 0s 935us/step - loss: 0.7929 Epoch 9/10 16/16 [==============================] - 0s 873us/step - loss: 0.7272 Epoch 10/10 16/16 [==============================] - 0s 873us/step - loss: 0.6798 ###################################################################### Accuracy: 108.74631675899808 Epoch 1/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0184 Epoch 2/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0163 Epoch 3/10 16/16 [==============================] - 0s 1ms/step - loss: 1.0113 Epoch 4/10 16/16 [==============================] - 0s 997us/step - loss: 0.9998 Epoch 5/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9791 Epoch 6/10 16/16 [==============================] - 0s 997us/step - loss: 0.9426 Epoch 7/10 16/16 [==============================] - 0s 935us/step - loss: 0.8891 Epoch 8/10 16/16 [==============================] - 0s 997us/step - loss: 0.8224 Epoch 9/10 16/16 [==============================] - 0s 936us/step - loss: 0.7555 Epoch 10/10 16/16 [==============================] - 0s 997us/step - loss: 0.6985 ###################################################################### Accuracy: 85.89587396089308 Epoch 1/10 16/16 [==============================] - 0s 2ms/step - loss: 1.0006 Epoch 2/10 16/16 [==============================] - 0s 997us/step - loss: 0.9962 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 0.9860 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9669 Epoch 5/10 16/16 [==============================] - 0s 873us/step - loss: 0.9354 Epoch 6/10 16/16 [==============================] - 0s 873us/step - loss: 0.8937 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.8384 Epoch 8/10 16/16 [==============================] - 0s 997us/step - loss: 0.7814 Epoch 9/10 16/16 [==============================] - 0s 935us/step - loss: 0.7264 Epoch 10/10 16/16 [==============================] - 0s 810us/step - loss: 0.6852 ###################################################################### Accuracy: 84.44139051359883 Epoch 1/20 16/16 [==============================] - 0s 1ms/step - loss: 1.0185 Epoch 2/20 16/16 [==============================] - 0s 997us/step - loss: 1.0156 Epoch 3/20 16/16 [==============================] - 0s 935us/step - loss: 1.0088 Epoch 4/20 16/16 [==============================] - 0s 935us/step - loss: 0.9935 Epoch 5/20 16/16 [==============================] - 0s 935us/step - loss: 0.9644 Epoch 6/20 16/16 [==============================] - 0s 935us/step - loss: 0.9187 Epoch 7/20 16/16 [==============================] - 0s 935us/step - loss: 0.8599 Epoch 8/20 16/16 [==============================] - 0s 810us/step - loss: 0.7989 Epoch 9/20 16/16 [==============================] - 0s 1ms/step - loss: 0.7508 Epoch 10/20 16/16 [==============================] - 0s 935us/step - loss: 0.7160 Epoch 11/20 16/16 [==============================] - 0s 997us/step - loss: 0.6923 Epoch 12/20 16/16 [==============================] - 0s 873us/step - loss: 0.6723 Epoch 13/20 16/16 [==============================] - 0s 997us/step - loss: 0.6576 Epoch 14/20 16/16 [==============================] - 0s 873us/step - loss: 0.6465 Epoch 15/20 16/16 [==============================] - 0s 997us/step - loss: 0.6385 Epoch 16/20 16/16 [==============================] - 0s 873us/step - loss: 0.6332 Epoch 17/20 16/16 [==============================] - 0s 997us/step - loss: 0.6296 Epoch 18/20 16/16 [==============================] - 0s 935us/step - loss: 0.6268 Epoch 19/20 16/16 [==============================] - 0s 935us/step - loss: 0.6243 Epoch 20/20 16/16 [==============================] - 0s 935us/step - loss: 0.6228 ###################################################################### Accuracy: 68.49759054029536 Epoch 1/20 16/16 [==============================] - 0s 1ms/step - loss: 0.9847 Epoch 2/20 16/16 [==============================] - 0s 1ms/step - loss: 0.9805 Epoch 3/20 16/16 [==============================] - 0s 935us/step - loss: 0.9720 Epoch 4/20 16/16 [==============================] - 0s 997us/step - loss: 0.9578 Epoch 5/20 16/16 [==============================] - 0s 935us/step - loss: 0.9331 Epoch 6/20 16/16 [==============================] - 0s 935us/step - loss: 0.8992 Epoch 7/20 16/16 [==============================] - 0s 1ms/step - loss: 0.8595 Epoch 8/20 16/16 [==============================] - 0s 873us/step - loss: 0.8220 Epoch 9/20 16/16 [==============================] - 0s 935us/step - loss: 0.7878 Epoch 10/20 16/16 [==============================] - 0s 998us/step - loss: 0.7594 Epoch 11/20 16/16 [==============================] - ETA: 0s - loss: 0.925 - 0s 935us/step - loss: 0.7331 Epoch 12/20 16/16 [==============================] - 0s 935us/step - loss: 0.7067 Epoch 13/20 16/16 [==============================] - 0s 935us/step - loss: 0.6829 Epoch 14/20 16/16 [==============================] - 0s 997us/step - loss: 0.6639 Epoch 15/20 16/16 [==============================] - 0s 935us/step - loss: 0.6507 Epoch 16/20 16/16 [==============================] - 0s 997us/step - loss: 0.6382 Epoch 17/20 16/16 [==============================] - 0s 997us/step - loss: 0.6305 Epoch 18/20 16/16 [==============================] - 0s 997us/step - loss: 0.6240 Epoch 19/20 16/16 [==============================] - 0s 935us/step - loss: 0.6184 Epoch 20/20 16/16 [==============================] - 0s 997us/step - loss: 0.6146 ###################################################################### Accuracy: 75.15627397903731 Epoch 1/20 16/16 [==============================] - 0s 2ms/step - loss: 0.9756 Epoch 2/20 16/16 [==============================] - 0s 1ms/step - loss: 0.9711 Epoch 3/20 16/16 [==============================] - 0s 873us/step - loss: 0.9641 Epoch 4/20 16/16 [==============================] - 0s 873us/step - loss: 0.9501 Epoch 5/20 16/16 [==============================] - 0s 873us/step - loss: 0.9241 Epoch 6/20 16/16 [==============================] - 0s 935us/step - loss: 0.8802 Epoch 7/20 16/16 [==============================] - 0s 873us/step - loss: 0.8206 Epoch 8/20 16/16 [==============================] - 0s 810us/step - loss: 0.7563 Epoch 9/20 16/16 [==============================] - 0s 935us/step - loss: 0.6954 Epoch 10/20 16/16 [==============================] - 0s 935us/step - loss: 0.6535 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.6327 Epoch 12/20 16/16 [==============================] - 0s 997us/step - loss: 0.6235 Epoch 13/20 16/16 [==============================] - 0s 935us/step - loss: 0.6188 Epoch 14/20 16/16 [==============================] - 0s 873us/step - loss: 0.6150 Epoch 15/20 16/16 [==============================] - 0s 997us/step - loss: 0.6115 Epoch 16/20 16/16 [==============================] - 0s 997us/step - loss: 0.6088 Epoch 17/20 16/16 [==============================] - 0s 997us/step - loss: 0.6052 Epoch 18/20 16/16 [==============================] - 0s 997us/step - loss: 0.6040 Epoch 19/20 16/16 [==============================] - 0s 997us/step - loss: 0.5999 Epoch 20/20 16/16 [==============================] - 0s 935us/step - loss: 0.5985 ###################################################################### Accuracy: 89.67158155361564 Epoch 1/20 16/16 [==============================] - 0s 2ms/step - loss: 1.0181 Epoch 2/20 16/16 [==============================] - 0s 1ms/step - loss: 1.0156 Epoch 3/20 16/16 [==============================] - 0s 878us/step - loss: 1.0095 Epoch 4/20 16/16 [==============================] - 0s 997us/step - loss: 0.9962 Epoch 5/20 16/16 [==============================] - 0s 1ms/step - loss: 0.9705 Epoch 6/20 16/16 [==============================] - 0s 997us/step - loss: 0.9269 Epoch 7/20 16/16 [==============================] - 0s 935us/step - loss: 0.8667 Epoch 8/20 16/16 [==============================] - 0s 997us/step - loss: 0.7975 Epoch 9/20 16/16 [==============================] - 0s 935us/step - loss: 0.7301 Epoch 10/20 16/16 [==============================] - 0s 935us/step - loss: 0.6832 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.6646 Epoch 12/20 16/16 [==============================] - 0s 997us/step - loss: 0.6504 Epoch 13/20 16/16 [==============================] - 0s 935us/step - loss: 0.6470 Epoch 14/20 16/16 [==============================] - 0s 997us/step - loss: 0.6422 Epoch 15/20 16/16 [==============================] - 0s 873us/step - loss: 0.6398 Epoch 16/20 16/16 [==============================] - 0s 810us/step - loss: 0.6368 Epoch 17/20 16/16 [==============================] - 0s 935us/step - loss: 0.6342 Epoch 18/20 16/16 [==============================] - 0s 997us/step - loss: 0.6318 Epoch 19/20 16/16 [==============================] - 0s 997us/step - loss: 0.6302 Epoch 20/20 16/16 [==============================] - 0s 1ms/step - loss: 0.6280 ###################################################################### Accuracy: 72.14026481434503 Epoch 1/20 16/16 [==============================] - 0s 1ms/step - loss: 1.0001 Epoch 2/20 16/16 [==============================] - 0s 997us/step - loss: 0.9937 Epoch 3/20 16/16 [==============================] - 0s 873us/step - loss: 0.9807 Epoch 4/20 16/16 [==============================] - 0s 997us/step - loss: 0.9601 Epoch 5/20 16/16 [==============================] - 0s 935us/step - loss: 0.9293 Epoch 6/20 16/16 [==============================] - 0s 935us/step - loss: 0.8864 Epoch 7/20 16/16 [==============================] - 0s 935us/step - loss: 0.8385 Epoch 8/20 16/16 [==============================] - 0s 935us/step - loss: 0.7924 Epoch 9/20 16/16 [==============================] - 0s 997us/step - loss: 0.7502 Epoch 10/20 16/16 [==============================] - 0s 997us/step - loss: 0.7145 Epoch 11/20 16/16 [==============================] - 0s 935us/step - loss: 0.6811 Epoch 12/20 16/16 [==============================] - 0s 997us/step - loss: 0.6602 Epoch 13/20 16/16 [==============================] - 0s 935us/step - loss: 0.6448 Epoch 14/20 16/16 [==============================] - 0s 997us/step - loss: 0.6369 Epoch 15/20 16/16 [==============================] - 0s 998us/step - loss: 0.6336 Epoch 16/20 16/16 [==============================] - 0s 997us/step - loss: 0.6285 Epoch 17/20 16/16 [==============================] - 0s 873us/step - loss: 0.6260 Epoch 18/20 16/16 [==============================] - 0s 935us/step - loss: 0.6229 Epoch 19/20 16/16 [==============================] - 0s 935us/step - loss: 0.6190 Epoch 20/20 16/16 [==============================] - 0s 997us/step - loss: 0.6163 ###################################################################### Accuracy: 73.25855480758476 Epoch 1/50 16/16 [==============================] - 0s 1ms/step - loss: 1.0186 Epoch 2/50 16/16 [==============================] - 0s 997us/step - loss: 1.0167 Epoch 3/50 16/16 [==============================] - 0s 873us/step - loss: 1.0123 Epoch 4/50 16/16 [==============================] - 0s 873us/step - loss: 1.0029 Epoch 5/50 16/16 [==============================] - 0s 1ms/step - loss: 0.9851 Epoch 6/50 16/16 [==============================] - 0s 935us/step - loss: 0.9533 Epoch 7/50 16/16 [==============================] - 0s 935us/step - loss: 0.9034 Epoch 8/50 16/16 [==============================] - 0s 997us/step - loss: 0.8419 Epoch 9/50 16/16 [==============================] - 0s 935us/step - loss: 0.7760 Epoch 10/50 16/16 [==============================] - 0s 1ms/step - loss: 0.7188 Epoch 11/50 16/16 [==============================] - 0s 935us/step - loss: 0.6777 Epoch 12/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6584 Epoch 13/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6495 Epoch 14/50 16/16 [==============================] - 0s 997us/step - loss: 0.6446 Epoch 15/50 16/16 [==============================] - 0s 935us/step - loss: 0.6416 Epoch 16/50 16/16 [==============================] - 0s 997us/step - loss: 0.6384 Epoch 17/50 16/16 [==============================] - 0s 873us/step - loss: 0.6364 Epoch 18/50 16/16 [==============================] - 0s 935us/step - loss: 0.6344 Epoch 19/50 16/16 [==============================] - 0s 935us/step - loss: 0.6323 Epoch 20/50 16/16 [==============================] - 0s 935us/step - loss: 0.6307 Epoch 21/50 16/16 [==============================] - 0s 935us/step - loss: 0.6292 Epoch 22/50 16/16 [==============================] - 0s 935us/step - loss: 0.6277 Epoch 23/50 16/16 [==============================] - 0s 997us/step - loss: 0.6271 Epoch 24/50 16/16 [==============================] - 0s 997us/step - loss: 0.6262 Epoch 25/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6246 Epoch 26/50 16/16 [==============================] - 0s 997us/step - loss: 0.6241 Epoch 27/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6221 Epoch 28/50 16/16 [==============================] - 0s 997us/step - loss: 0.6212 Epoch 29/50 16/16 [==============================] - 0s 935us/step - loss: 0.6204 Epoch 30/50 16/16 [==============================] - 0s 997us/step - loss: 0.6203 Epoch 31/50 16/16 [==============================] - 0s 997us/step - loss: 0.6195 Epoch 32/50 16/16 [==============================] - 0s 997us/step - loss: 0.6184 Epoch 33/50 16/16 [==============================] - 0s 997us/step - loss: 0.6173 Epoch 34/50 16/16 [==============================] - 0s 873us/step - loss: 0.6170 Epoch 35/50 16/16 [==============================] - 0s 810us/step - loss: 0.6158 Epoch 36/50 16/16 [==============================] - 0s 810us/step - loss: 0.6156 Epoch 37/50 16/16 [==============================] - 0s 873us/step - loss: 0.6145 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.6137 Epoch 39/50 16/16 [==============================] - 0s 935us/step - loss: 0.6129 Epoch 40/50 16/16 [==============================] - 0s 872us/step - loss: 0.6121 Epoch 41/50 16/16 [==============================] - 0s 873us/step - loss: 0.6118 Epoch 42/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6110 Epoch 43/50 16/16 [==============================] - 0s 935us/step - loss: 0.6103 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.6089 Epoch 45/50 16/16 [==============================] - 0s 873us/step - loss: 0.6081 Epoch 46/50 16/16 [==============================] - 0s 997us/step - loss: 0.6071 Epoch 47/50 16/16 [==============================] - 0s 997us/step - loss: 0.6062 Epoch 48/50 16/16 [==============================] - 0s 873us/step - loss: 0.6054 Epoch 49/50 16/16 [==============================] - 0s 935us/step - loss: 0.6046 Epoch 50/50 16/16 [==============================] - 0s 935us/step - loss: 0.6051 ###################################################################### Accuracy: 70.55178645388847 Epoch 1/50 16/16 [==============================] - 0s 2ms/step - loss: 0.9867 Epoch 2/50 16/16 [==============================] - 0s 997us/step - loss: 0.9847 Epoch 3/50 16/16 [==============================] - 0s 873us/step - loss: 0.9807 Epoch 4/50 16/16 [==============================] - 0s 1ms/step - loss: 0.9720 Epoch 5/50 16/16 [==============================] - 0s 873us/step - loss: 0.9554 Epoch 6/50 16/16 [==============================] - 0s 935us/step - loss: 0.9267 Epoch 7/50 16/16 [==============================] - 0s 873us/step - loss: 0.8866 Epoch 8/50 16/16 [==============================] - 0s 935us/step - loss: 0.8355 Epoch 9/50 16/16 [==============================] - 0s 935us/step - loss: 0.7794 Epoch 10/50 16/16 [==============================] - 0s 873us/step - loss: 0.7251 Epoch 11/50 16/16 [==============================] - 0s 935us/step - loss: 0.6843 Epoch 12/50 16/16 [==============================] - 0s 935us/step - loss: 0.6600 Epoch 13/50 16/16 [==============================] - 0s 935us/step - loss: 0.6451 Epoch 14/50 16/16 [==============================] - 0s 935us/step - loss: 0.6378 Epoch 15/50 16/16 [==============================] - 0s 873us/step - loss: 0.6341 Epoch 16/50 16/16 [==============================] - 0s 873us/step - loss: 0.6315 Epoch 17/50 16/16 [==============================] - 0s 873us/step - loss: 0.6256 Epoch 18/50 16/16 [==============================] - 0s 935us/step - loss: 0.6228 Epoch 19/50 16/16 [==============================] - 0s 873us/step - loss: 0.6190 Epoch 20/50 16/16 [==============================] - 0s 873us/step - loss: 0.6177 Epoch 21/50 16/16 [==============================] - 0s 935us/step - loss: 0.6128 Epoch 22/50 16/16 [==============================] - 0s 810us/step - loss: 0.6113 Epoch 23/50 16/16 [==============================] - 0s 935us/step - loss: 0.6070 Epoch 24/50 16/16 [==============================] - 0s 935us/step - loss: 0.6052 Epoch 25/50 16/16 [==============================] - 0s 935us/step - loss: 0.6022 Epoch 26/50 16/16 [==============================] - 0s 997us/step - loss: 0.5998 Epoch 27/50 16/16 [==============================] - 0s 997us/step - loss: 0.5981 Epoch 28/50 16/16 [==============================] - 0s 935us/step - loss: 0.5962 Epoch 29/50 16/16 [==============================] - 0s 873us/step - loss: 0.5944 Epoch 30/50 16/16 [==============================] - 0s 873us/step - loss: 0.5916 Epoch 31/50 16/16 [==============================] - 0s 997us/step - loss: 0.5904 Epoch 32/50 16/16 [==============================] - 0s 997us/step - loss: 0.5892 Epoch 33/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5867 Epoch 34/50 16/16 [==============================] - 0s 935us/step - loss: 0.5859 Epoch 35/50 16/16 [==============================] - 0s 997us/step - loss: 0.5858 Epoch 36/50 16/16 [==============================] - 0s 997us/step - loss: 0.5823 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.5822 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.5808 Epoch 39/50 16/16 [==============================] - 0s 997us/step - loss: 0.5800 Epoch 40/50 16/16 [==============================] - 0s 997us/step - loss: 0.5788 Epoch 41/50 16/16 [==============================] - 0s 935us/step - loss: 0.5790 Epoch 42/50 16/16 [==============================] - 0s 997us/step - loss: 0.5767 Epoch 43/50 16/16 [==============================] - 0s 873us/step - loss: 0.5757 Epoch 44/50 16/16 [==============================] - 0s 935us/step - loss: 0.5750 Epoch 45/50 16/16 [==============================] - 0s 873us/step - loss: 0.5752 Epoch 46/50 16/16 [==============================] - 0s 935us/step - loss: 0.5737 Epoch 47/50 16/16 [==============================] - 0s 935us/step - loss: 0.5730 Epoch 48/50 16/16 [==============================] - 0s 997us/step - loss: 0.5721 Epoch 49/50 16/16 [==============================] - 0s 997us/step - loss: 0.5727 Epoch 50/50 16/16 [==============================] - 0s 997us/step - loss: 0.5717 ###################################################################### Accuracy: 71.58708389754075 Epoch 1/50 16/16 [==============================] - 0s 1ms/step - loss: 0.9760 Epoch 2/50 16/16 [==============================] - 0s 997us/step - loss: 0.9732 Epoch 3/50 16/16 [==============================] - 0s 935us/step - loss: 0.9671 Epoch 4/50 16/16 [==============================] - 0s 873us/step - loss: 0.9548 Epoch 5/50 16/16 [==============================] - 0s 935us/step - loss: 0.9298 Epoch 6/50 16/16 [==============================] - 0s 873us/step - loss: 0.8876 Epoch 7/50 16/16 [==============================] - 0s 997us/step - loss: 0.8277 Epoch 8/50 16/16 [==============================] - 0s 935us/step - loss: 0.7586 Epoch 9/50 16/16 [==============================] - 0s 935us/step - loss: 0.6996 Epoch 10/50 16/16 [==============================] - 0s 935us/step - loss: 0.6640 Epoch 11/50 16/16 [==============================] - 0s 997us/step - loss: 0.6441 Epoch 12/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6327 Epoch 13/50 16/16 [==============================] - 0s 935us/step - loss: 0.6279 Epoch 14/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6243 Epoch 15/50 16/16 [==============================] - 0s 935us/step - loss: 0.6231 Epoch 16/50 16/16 [==============================] - 0s 997us/step - loss: 0.6215 Epoch 17/50 16/16 [==============================] - 0s 873us/step - loss: 0.6200 Epoch 18/50 16/16 [==============================] - 0s 873us/step - loss: 0.6180 Epoch 19/50 16/16 [==============================] - 0s 935us/step - loss: 0.6169 Epoch 20/50 16/16 [==============================] - 0s 997us/step - loss: 0.6161 Epoch 21/50 16/16 [==============================] - 0s 935us/step - loss: 0.6135 Epoch 22/50 16/16 [==============================] - 0s 997us/step - loss: 0.6122 Epoch 23/50 16/16 [==============================] - 0s 935us/step - loss: 0.6119 Epoch 24/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6103 Epoch 25/50 16/16 [==============================] - 0s 935us/step - loss: 0.6089 Epoch 26/50 16/16 [==============================] - 0s 935us/step - loss: 0.6075 Epoch 27/50 16/16 [==============================] - 0s 935us/step - loss: 0.6061 Epoch 28/50 16/16 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 29/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6039 Epoch 30/50 16/16 [==============================] - 0s 997us/step - loss: 0.6028 Epoch 31/50 16/16 [==============================] - 0s 997us/step - loss: 0.6009 Epoch 32/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6007 Epoch 33/50 16/16 [==============================] - 0s 997us/step - loss: 0.5987 Epoch 34/50 16/16 [==============================] - 0s 935us/step - loss: 0.5981 Epoch 35/50 16/16 [==============================] - 0s 873us/step - loss: 0.5967 Epoch 36/50 16/16 [==============================] - 0s 935us/step - loss: 0.5965 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.5950 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.5938 Epoch 39/50 16/16 [==============================] - 0s 935us/step - loss: 0.5922 Epoch 40/50 16/16 [==============================] - 0s 935us/step - loss: 0.5903 Epoch 41/50 16/16 [==============================] - 0s 935us/step - loss: 0.5906 Epoch 42/50 16/16 [==============================] - 0s 997us/step - loss: 0.5895 Epoch 43/50 16/16 [==============================] - 0s 872us/step - loss: 0.5874 Epoch 44/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5865 Epoch 45/50 16/16 [==============================] - 0s 873us/step - loss: 0.5850 Epoch 46/50 16/16 [==============================] - 0s 997us/step - loss: 0.5846 Epoch 47/50 16/16 [==============================] - 0s 997us/step - loss: 0.5824 Epoch 48/50 16/16 [==============================] - 0s 997us/step - loss: 0.5821 Epoch 49/50 16/16 [==============================] - 0s 873us/step - loss: 0.5817 Epoch 50/50 16/16 [==============================] - 0s 997us/step - loss: 0.5823 ###################################################################### Accuracy: 89.92417960202916 Epoch 1/50 16/16 [==============================] - 0s 2ms/step - loss: 1.0189 Epoch 2/50 16/16 [==============================] - 0s 997us/step - loss: 1.0168 Epoch 3/50 16/16 [==============================] - 0s 873us/step - loss: 1.0127 Epoch 4/50 16/16 [==============================] - 0s 873us/step - loss: 1.0034 Epoch 5/50 16/16 [==============================] - 0s 935us/step - loss: 0.9837 Epoch 6/50 16/16 [==============================] - 0s 997us/step - loss: 0.9509 Epoch 7/50 16/16 [==============================] - 0s 935us/step - loss: 0.9047 Epoch 8/50 16/16 [==============================] - 0s 935us/step - loss: 0.8487 Epoch 9/50 16/16 [==============================] - 0s 873us/step - loss: 0.7978 Epoch 10/50 16/16 [==============================] - 0s 873us/step - loss: 0.7576 Epoch 11/50 16/16 [==============================] - 0s 935us/step - loss: 0.7243 Epoch 12/50 16/16 [==============================] - 0s 935us/step - loss: 0.6952 Epoch 13/50 16/16 [==============================] - 0s 935us/step - loss: 0.6748 Epoch 14/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6629 Epoch 15/50 16/16 [==============================] - 0s 935us/step - loss: 0.6540 Epoch 16/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6489 Epoch 17/50 16/16 [==============================] - 0s 935us/step - loss: 0.6446 Epoch 18/50 16/16 [==============================] - 0s 997us/step - loss: 0.6415 Epoch 19/50 16/16 [==============================] - 0s 935us/step - loss: 0.6416 Epoch 20/50 16/16 [==============================] - 0s 935us/step - loss: 0.6370 Epoch 21/50 16/16 [==============================] - 0s 935us/step - loss: 0.6350 Epoch 22/50 16/16 [==============================] - 0s 997us/step - loss: 0.6329 Epoch 23/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6314 Epoch 24/50 16/16 [==============================] - 0s 935us/step - loss: 0.6300 Epoch 25/50 16/16 [==============================] - 0s 997us/step - loss: 0.6294 Epoch 26/50 16/16 [==============================] - 0s 997us/step - loss: 0.6289 Epoch 27/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6258 Epoch 28/50 16/16 [==============================] - 0s 935us/step - loss: 0.6248 Epoch 29/50 16/16 [==============================] - 0s 935us/step - loss: 0.6239 Epoch 30/50 16/16 [==============================] - 0s 2ms/step - loss: 0.6233 Epoch 31/50 16/16 [==============================] - 0s 997us/step - loss: 0.6211 Epoch 32/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6210 Epoch 33/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6190 Epoch 34/50 16/16 [==============================] - 0s 935us/step - loss: 0.6189 Epoch 35/50 16/16 [==============================] - 0s 873us/step - loss: 0.6175 Epoch 36/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6164 Epoch 37/50 16/16 [==============================] - 0s 873us/step - loss: 0.6160 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.6149 Epoch 39/50 16/16 [==============================] - 0s 997us/step - loss: 0.6134 Epoch 40/50 16/16 [==============================] - 0s 873us/step - loss: 0.6122 Epoch 41/50 16/16 [==============================] - 0s 873us/step - loss: 0.6119 Epoch 42/50 16/16 [==============================] - 0s 997us/step - loss: 0.6107 Epoch 43/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6104 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.6083 Epoch 45/50 16/16 [==============================] - 0s 935us/step - loss: 0.6083 Epoch 46/50 16/16 [==============================] - 0s 873us/step - loss: 0.6064 Epoch 47/50 16/16 [==============================] - 0s 935us/step - loss: 0.6075 Epoch 48/50 16/16 [==============================] - 0s 873us/step - loss: 0.6059 Epoch 49/50 16/16 [==============================] - 0s 935us/step - loss: 0.6055 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.6037 ###################################################################### Accuracy: 73.25756665703602 Epoch 1/50 16/16 [==============================] - 0s 2ms/step - loss: 1.0018 Epoch 2/50 16/16 [==============================] - 0s 941us/step - loss: 0.9995 Epoch 3/50 16/16 [==============================] - 0s 997us/step - loss: 0.9940 Epoch 4/50 16/16 [==============================] - 0s 935us/step - loss: 0.9811 Epoch 5/50 16/16 [==============================] - 0s 997us/step - loss: 0.9570 Epoch 6/50 16/16 [==============================] - 0s 997us/step - loss: 0.9218 Epoch 7/50 16/16 [==============================] - 0s 935us/step - loss: 0.8745 Epoch 8/50 16/16 [==============================] - 0s 997us/step - loss: 0.8225 Epoch 9/50 16/16 [==============================] - 0s 873us/step - loss: 0.7709 Epoch 10/50 16/16 [==============================] - 0s 935us/step - loss: 0.7268 Epoch 11/50 16/16 [==============================] - 0s 997us/step - loss: 0.6920 Epoch 12/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6669 Epoch 13/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6498 Epoch 14/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6408 Epoch 15/50 16/16 [==============================] - 0s 935us/step - loss: 0.6352 Epoch 16/50 16/16 [==============================] - 0s 935us/step - loss: 0.6311 Epoch 17/50 16/16 [==============================] - 0s 997us/step - loss: 0.6274 Epoch 18/50 16/16 [==============================] - 0s 935us/step - loss: 0.6257 Epoch 19/50 16/16 [==============================] - 0s 935us/step - loss: 0.6231 Epoch 20/50 16/16 [==============================] - 0s 935us/step - loss: 0.6215 Epoch 21/50 16/16 [==============================] - 0s 873us/step - loss: 0.6200 Epoch 22/50 16/16 [==============================] - 0s 997us/step - loss: 0.6166 Epoch 23/50 16/16 [==============================] - 0s 997us/step - loss: 0.6145 Epoch 24/50 16/16 [==============================] - 0s 997us/step - loss: 0.6127 Epoch 25/50 16/16 [==============================] - 0s 935us/step - loss: 0.6113 Epoch 26/50 16/16 [==============================] - 0s 935us/step - loss: 0.6102 Epoch 27/50 16/16 [==============================] - 0s 997us/step - loss: 0.6087 Epoch 28/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6066 Epoch 29/50 16/16 [==============================] - 0s 935us/step - loss: 0.6059 Epoch 30/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6033 Epoch 31/50 16/16 [==============================] - 0s 873us/step - loss: 0.6019 Epoch 32/50 16/16 [==============================] - 0s 997us/step - loss: 0.6008 Epoch 33/50 16/16 [==============================] - 0s 935us/step - loss: 0.5995 Epoch 34/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5985 Epoch 35/50 16/16 [==============================] - 0s 997us/step - loss: 0.5969 Epoch 36/50 16/16 [==============================] - 0s 997us/step - loss: 0.5958 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.5942 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.5926 Epoch 39/50 16/16 [==============================] - 0s 935us/step - loss: 0.5914 Epoch 40/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5902 Epoch 41/50 16/16 [==============================] - 0s 935us/step - loss: 0.5903 Epoch 42/50 16/16 [==============================] - 0s 935us/step - loss: 0.5893 Epoch 43/50 16/16 [==============================] - 0s 935us/step - loss: 0.5876 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.5861 Epoch 45/50 16/16 [==============================] - ETA: 0s - loss: 0.565 - 0s 998us/step - loss: 0.5857 Epoch 46/50 16/16 [==============================] - 0s 997us/step - loss: 0.5836 Epoch 47/50 16/16 [==============================] - 0s 935us/step - loss: 0.5831 Epoch 48/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5825 Epoch 49/50 16/16 [==============================] - 0s 873us/step - loss: 0.5828 Epoch 50/50 16/16 [==============================] - 0s 810us/step - loss: 0.5802 ###################################################################### Accuracy: 71.47280970997403 Epoch 1/100 16/16 [==============================] - 0s 1ms/step - loss: 1.0191 Epoch 2/100 16/16 [==============================] - 0s 997us/step - loss: 1.0173 Epoch 3/100 16/16 [==============================] - 0s 997us/step - loss: 1.0123 Epoch 4/100 16/16 [==============================] - 0s 1ms/step - loss: 1.0002 Epoch 5/100 16/16 [==============================] - 0s 997us/step - loss: 0.9770 Epoch 6/100 16/16 [==============================] - 0s 997us/step - loss: 0.9374 Epoch 7/100 16/16 [==============================] - 0s 873us/step - loss: 0.8820 Epoch 8/100 16/16 [==============================] - 0s 997us/step - loss: 0.8190 Epoch 9/100 16/16 [==============================] - 0s 810us/step - loss: 0.7575 Epoch 10/100 16/16 [==============================] - 0s 935us/step - loss: 0.7047 Epoch 11/100 16/16 [==============================] - 0s 935us/step - loss: 0.6714 Epoch 12/100 16/16 [==============================] - 0s 997us/step - loss: 0.6518 Epoch 13/100 16/16 [==============================] - 0s 997us/step - loss: 0.6402 Epoch 14/100 16/16 [==============================] - 0s 935us/step - loss: 0.6362 Epoch 15/100 16/16 [==============================] - 0s 935us/step - loss: 0.6313 Epoch 16/100 16/16 [==============================] - 0s 935us/step - loss: 0.6290 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6252 Epoch 18/100 16/16 [==============================] - 0s 1ms/step - loss: 0.6243 Epoch 19/100 16/16 [==============================] - 0s 997us/step - loss: 0.6223 Epoch 20/100 16/16 [==============================] - 0s 997us/step - loss: 0.6187 Epoch 21/100 16/16 [==============================] - 0s 997us/step - loss: 0.6173 Epoch 22/100 16/16 [==============================] - 0s 873us/step - loss: 0.6151 Epoch 23/100 16/16 [==============================] - 0s 935us/step - loss: 0.6119 Epoch 24/100 16/16 [==============================] - 0s 935us/step - loss: 0.6103 Epoch 25/100 16/16 [==============================] - 0s 997us/step - loss: 0.6079 Epoch 26/100 16/16 [==============================] - 0s 935us/step - loss: 0.6058 Epoch 27/100 16/16 [==============================] - 0s 873us/step - loss: 0.6034 Epoch 28/100 16/16 [==============================] - 0s 935us/step - loss: 0.6043 Epoch 29/100 16/16 [==============================] - 0s 873us/step - loss: 0.5997 Epoch 30/100 16/16 [==============================] - 0s 873us/step - loss: 0.5976 Epoch 31/100 16/16 [==============================] - 0s 873us/step - loss: 0.5968 Epoch 32/100 16/16 [==============================] - 0s 810us/step - loss: 0.5943 Epoch 33/100 16/16 [==============================] - 0s 935us/step - loss: 0.5919 Epoch 34/100 16/16 [==============================] - 0s 935us/step - loss: 0.5908 Epoch 35/100 16/16 [==============================] - 0s 873us/step - loss: 0.5904 Epoch 36/100 16/16 [==============================] - 0s 935us/step - loss: 0.5873 Epoch 37/100 16/16 [==============================] - 0s 873us/step - loss: 0.5852 Epoch 38/100 16/16 [==============================] - 0s 935us/step - loss: 0.5841 Epoch 39/100 16/16 [==============================] - 0s 873us/step - loss: 0.5821 Epoch 40/100 16/16 [==============================] - 0s 873us/step - loss: 0.5803 Epoch 41/100 16/16 [==============================] - 0s 997us/step - loss: 0.5790 Epoch 42/100 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 43/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5765 Epoch 44/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5755 Epoch 45/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5736 Epoch 46/100 16/16 [==============================] - 0s 997us/step - loss: 0.5734 Epoch 47/100 16/16 [==============================] - 0s 935us/step - loss: 0.5721 Epoch 48/100 16/16 [==============================] - 0s 935us/step - loss: 0.5708 Epoch 49/100 16/16 [==============================] - 0s 997us/step - loss: 0.5703 Epoch 50/100 16/16 [==============================] - 0s 997us/step - loss: 0.5702 Epoch 51/100 16/16 [==============================] - 0s 935us/step - loss: 0.5689 Epoch 52/100 16/16 [==============================] - 0s 997us/step - loss: 0.5682 Epoch 53/100 16/16 [==============================] - 0s 997us/step - loss: 0.5678 Epoch 54/100 16/16 [==============================] - 0s 998us/step - loss: 0.5665 Epoch 55/100 16/16 [==============================] - 0s 935us/step - loss: 0.5661 Epoch 56/100 16/16 [==============================] - 0s 935us/step - loss: 0.5653 Epoch 57/100 16/16 [==============================] - 0s 935us/step - loss: 0.5651 Epoch 58/100 16/16 [==============================] - 0s 873us/step - loss: 0.5662 Epoch 59/100 16/16 [==============================] - 0s 997us/step - loss: 0.5652 Epoch 60/100 16/16 [==============================] - 0s 997us/step - loss: 0.5636 Epoch 61/100 16/16 [==============================] - 0s 873us/step - loss: 0.5635 Epoch 62/100 16/16 [==============================] - 0s 997us/step - loss: 0.5632 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5645 Epoch 64/100 16/16 [==============================] - 0s 997us/step - loss: 0.5617 Epoch 65/100 16/16 [==============================] - 0s 935us/step - loss: 0.5607 Epoch 66/100 16/16 [==============================] - 0s 998us/step - loss: 0.5622 Epoch 67/100 16/16 [==============================] - 0s 873us/step - loss: 0.5599 Epoch 68/100 16/16 [==============================] - 0s 997us/step - loss: 0.5603 Epoch 69/100 16/16 [==============================] - 0s 935us/step - loss: 0.5612 Epoch 70/100 16/16 [==============================] - 0s 997us/step - loss: 0.5595 Epoch 71/100 16/16 [==============================] - 0s 935us/step - loss: 0.5614 Epoch 72/100 16/16 [==============================] - 0s 997us/step - loss: 0.5577 Epoch 73/100 16/16 [==============================] - 0s 997us/step - loss: 0.5580 Epoch 74/100 16/16 [==============================] - 0s 997us/step - loss: 0.5566 Epoch 75/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5565 Epoch 76/100 16/16 [==============================] - 0s 997us/step - loss: 0.5563 Epoch 77/100 16/16 [==============================] - 0s 997us/step - loss: 0.5567 Epoch 78/100 16/16 [==============================] - 0s 935us/step - loss: 0.5554 Epoch 79/100 16/16 [==============================] - 0s 997us/step - loss: 0.5547 Epoch 80/100 16/16 [==============================] - 0s 935us/step - loss: 0.5542 Epoch 81/100 16/16 [==============================] - 0s 997us/step - loss: 0.5541 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5547 Epoch 83/100 16/16 [==============================] - 0s 997us/step - loss: 0.5535 Epoch 84/100 16/16 [==============================] - 0s 873us/step - loss: 0.5530 Epoch 85/100 16/16 [==============================] - 0s 997us/step - loss: 0.5522 Epoch 86/100 16/16 [==============================] - 0s 935us/step - loss: 0.5519 Epoch 87/100 16/16 [==============================] - 0s 810us/step - loss: 0.5519 Epoch 88/100 16/16 [==============================] - 0s 997us/step - loss: 0.5520 Epoch 89/100 16/16 [==============================] - 0s 935us/step - loss: 0.5518 Epoch 90/100 16/16 [==============================] - 0s 873us/step - loss: 0.5511 Epoch 91/100 16/16 [==============================] - 0s 935us/step - loss: 0.5508 Epoch 92/100 16/16 [==============================] - 0s 935us/step - loss: 0.5500 Epoch 93/100 16/16 [==============================] - 0s 873us/step - loss: 0.5511 Epoch 94/100 16/16 [==============================] - 0s 997us/step - loss: 0.5502 Epoch 95/100 16/16 [==============================] - 0s 873us/step - loss: 0.5494 Epoch 96/100 16/16 [==============================] - 0s 810us/step - loss: 0.5494 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5494 Epoch 98/100 16/16 [==============================] - 0s 935us/step - loss: 0.5486 Epoch 99/100 16/16 [==============================] - 0s 935us/step - loss: 0.5479 Epoch 100/100 16/16 [==============================] - 0s 997us/step - loss: 0.5485 ###################################################################### Accuracy: 72.08416503033311 Epoch 1/100 16/16 [==============================] - 0s 2ms/step - loss: 0.9850 Epoch 2/100 16/16 [==============================] - 0s 997us/step - loss: 0.9810 Epoch 3/100 16/16 [==============================] - 0s 935us/step - loss: 0.9729 Epoch 4/100 16/16 [==============================] - 0s 997us/step - loss: 0.9551 Epoch 5/100 16/16 [==============================] - 0s 997us/step - loss: 0.9234 Epoch 6/100 16/16 [==============================] - 0s 1ms/step - loss: 0.8765 Epoch 7/100 16/16 [==============================] - 0s 873us/step - loss: 0.8155 Epoch 8/100 16/16 [==============================] - 0s 873us/step - loss: 0.7582 Epoch 9/100 16/16 [==============================] - 0s 873us/step - loss: 0.7115 Epoch 10/100 16/16 [==============================] - 0s 873us/step - loss: 0.6821 Epoch 11/100 16/16 [==============================] - 0s 873us/step - loss: 0.6616 Epoch 12/100 16/16 [==============================] - 0s 997us/step - loss: 0.6487 Epoch 13/100 16/16 [==============================] - 0s 810us/step - loss: 0.6423 Epoch 14/100 16/16 [==============================] - 0s 935us/step - loss: 0.6394 Epoch 15/100 16/16 [==============================] - 0s 935us/step - loss: 0.6380 Epoch 16/100 16/16 [==============================] - 0s 935us/step - loss: 0.6333 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6305 Epoch 18/100 16/16 [==============================] - 0s 997us/step - loss: 0.6281 Epoch 19/100 16/16 [==============================] - 0s 873us/step - loss: 0.6255 Epoch 20/100 16/16 [==============================] - 0s 935us/step - loss: 0.6236 Epoch 21/100 16/16 [==============================] - 0s 935us/step - loss: 0.6219 Epoch 22/100 16/16 [==============================] - 0s 935us/step - loss: 0.6190 Epoch 23/100 16/16 [==============================] - 0s 997us/step - loss: 0.6172 Epoch 24/100 16/16 [==============================] - 0s 997us/step - loss: 0.6148 Epoch 25/100 16/16 [==============================] - 0s 935us/step - loss: 0.6143 Epoch 26/100 16/16 [==============================] - 0s 935us/step - loss: 0.6122 Epoch 27/100 16/16 [==============================] - 0s 997us/step - loss: 0.6092 Epoch 28/100 16/16 [==============================] - 0s 935us/step - loss: 0.6075 Epoch 29/100 16/16 [==============================] - 0s 1ms/step - loss: 0.6053 Epoch 30/100 16/16 [==============================] - 0s 935us/step - loss: 0.6040 Epoch 31/100 16/16 [==============================] - 0s 997us/step - loss: 0.6038 Epoch 32/100 16/16 [==============================] - 0s 935us/step - loss: 0.6026 Epoch 33/100 16/16 [==============================] - 0s 935us/step - loss: 0.6001 Epoch 34/100 16/16 [==============================] - 0s 935us/step - loss: 0.5988 Epoch 35/100 16/16 [==============================] - 0s 935us/step - loss: 0.5978 Epoch 36/100 16/16 [==============================] - 0s 997us/step - loss: 0.5961 Epoch 37/100 16/16 [==============================] - 0s 935us/step - loss: 0.5939 Epoch 38/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5936 Epoch 39/100 16/16 [==============================] - 0s 935us/step - loss: 0.5932 Epoch 40/100 16/16 [==============================] - 0s 997us/step - loss: 0.5906 Epoch 41/100 16/16 [==============================] - 0s 997us/step - loss: 0.5900 Epoch 42/100 16/16 [==============================] - 0s 997us/step - loss: 0.5886 Epoch 43/100 16/16 [==============================] - 0s 935us/step - loss: 0.5887 Epoch 44/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5874 Epoch 45/100 16/16 [==============================] - 0s 935us/step - loss: 0.5864 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.5850 Epoch 47/100 16/16 [==============================] - 0s 935us/step - loss: 0.5842 Epoch 48/100 16/16 [==============================] - 0s 935us/step - loss: 0.5835 Epoch 49/100 16/16 [==============================] - 0s 935us/step - loss: 0.5819 Epoch 50/100 16/16 [==============================] - 0s 873us/step - loss: 0.5817 Epoch 51/100 16/16 [==============================] - 0s 997us/step - loss: 0.5820 Epoch 52/100 16/16 [==============================] - 0s 873us/step - loss: 0.5808 Epoch 53/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5792 Epoch 54/100 16/16 [==============================] - 0s 997us/step - loss: 0.5790 Epoch 55/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5787 Epoch 56/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5773 Epoch 57/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5775 Epoch 58/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5772 Epoch 59/100 16/16 [==============================] - 0s 873us/step - loss: 0.5761 Epoch 60/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5749 Epoch 61/100 16/16 [==============================] - 0s 873us/step - loss: 0.5746 Epoch 62/100 16/16 [==============================] - 0s 997us/step - loss: 0.5746 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5736 Epoch 64/100 16/16 [==============================] - 0s 997us/step - loss: 0.5732 Epoch 65/100 16/16 [==============================] - ETA: 0s - loss: 0.541 - 0s 1ms/step - loss: 0.5749 Epoch 66/100 16/16 [==============================] - 0s 997us/step - loss: 0.5742 Epoch 67/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5722 Epoch 68/100 16/16 [==============================] - 0s 997us/step - loss: 0.5725 Epoch 69/100 16/16 [==============================] - 0s 997us/step - loss: 0.5719 Epoch 70/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5710 Epoch 71/100 16/16 [==============================] - 0s 997us/step - loss: 0.5703 Epoch 72/100 16/16 [==============================] - 0s 997us/step - loss: 0.5703 Epoch 73/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5700 Epoch 74/100 16/16 [==============================] - 0s 935us/step - loss: 0.5698 Epoch 75/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5696 Epoch 76/100 16/16 [==============================] - 0s 997us/step - loss: 0.5693 Epoch 77/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5700 Epoch 78/100 16/16 [==============================] - 0s 935us/step - loss: 0.5688 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5678 Epoch 80/100 16/16 [==============================] - 0s 997us/step - loss: 0.5687 Epoch 81/100 16/16 [==============================] - 0s 873us/step - loss: 0.5678 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5670 Epoch 83/100 16/16 [==============================] - 0s 935us/step - loss: 0.5663 Epoch 84/100 16/16 [==============================] - 0s 935us/step - loss: 0.5662 Epoch 85/100 16/16 [==============================] - 0s 935us/step - loss: 0.5661 Epoch 86/100 16/16 [==============================] - 0s 935us/step - loss: 0.5654 Epoch 87/100 16/16 [==============================] - 0s 873us/step - loss: 0.5656 Epoch 88/100 16/16 [==============================] - 0s 997us/step - loss: 0.5663 Epoch 89/100 16/16 [==============================] - 0s 873us/step - loss: 0.5650 Epoch 90/100 16/16 [==============================] - 0s 935us/step - loss: 0.5647 Epoch 91/100 16/16 [==============================] - 0s 997us/step - loss: 0.5657 Epoch 92/100 16/16 [==============================] - 0s 810us/step - loss: 0.5662 Epoch 93/100 16/16 [==============================] - 0s 873us/step - loss: 0.5651 Epoch 94/100 16/16 [==============================] - 0s 935us/step - loss: 0.5658 Epoch 95/100 16/16 [==============================] - 0s 872us/step - loss: 0.5636 Epoch 96/100 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5632 Epoch 98/100 16/16 [==============================] - 0s 935us/step - loss: 0.5629 Epoch 99/100 16/16 [==============================] - 0s 873us/step - loss: 0.5632 Epoch 100/100 16/16 [==============================] - 0s 935us/step - loss: 0.5622 ###################################################################### Accuracy: 73.74531590805057 Epoch 1/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9764 Epoch 2/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9739 Epoch 3/100 16/16 [==============================] - 0s 997us/step - loss: 0.9679 Epoch 4/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9551 Epoch 5/100 16/16 [==============================] - 0s 935us/step - loss: 0.9297 Epoch 6/100 16/16 [==============================] - 0s 935us/step - loss: 0.8939 Epoch 7/100 16/16 [==============================] - 0s 935us/step - loss: 0.8401 Epoch 8/100 16/16 [==============================] - 0s 997us/step - loss: 0.7837 Epoch 9/100 16/16 [==============================] - 0s 935us/step - loss: 0.7211 Epoch 10/100 16/16 [==============================] - 0s 935us/step - loss: 0.6731 Epoch 11/100 16/16 [==============================] - 0s 1ms/step - loss: 0.6432 Epoch 12/100 16/16 [==============================] - 0s 935us/step - loss: 0.6317 Epoch 13/100 16/16 [==============================] - 0s 997us/step - loss: 0.6242 Epoch 14/100 16/16 [==============================] - 0s 1ms/step - loss: 0.6205 Epoch 15/100 16/16 [==============================] - 0s 997us/step - loss: 0.6170 Epoch 16/100 16/16 [==============================] - 0s 873us/step - loss: 0.6158 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6122 Epoch 18/100 16/16 [==============================] - 0s 997us/step - loss: 0.6098 Epoch 19/100 16/16 [==============================] - 0s 935us/step - loss: 0.6085 Epoch 20/100 16/16 [==============================] - 0s 997us/step - loss: 0.6068 Epoch 21/100 16/16 [==============================] - 0s 935us/step - loss: 0.6031 Epoch 22/100 16/16 [==============================] - 0s 935us/step - loss: 0.6012 Epoch 23/100 16/16 [==============================] - 0s 997us/step - loss: 0.5983 Epoch 24/100 16/16 [==============================] - 0s 935us/step - loss: 0.5966 Epoch 25/100 16/16 [==============================] - 0s 935us/step - loss: 0.5955 Epoch 26/100 16/16 [==============================] - 0s 873us/step - loss: 0.5937 Epoch 27/100 16/16 [==============================] - 0s 935us/step - loss: 0.5929 Epoch 28/100 16/16 [==============================] - 0s 997us/step - loss: 0.5900 Epoch 29/100 16/16 [==============================] - 0s 935us/step - loss: 0.5884 Epoch 30/100 16/16 [==============================] - 0s 873us/step - loss: 0.5868 Epoch 31/100 16/16 [==============================] - 0s 873us/step - loss: 0.5856 Epoch 32/100 16/16 [==============================] - 0s 997us/step - loss: 0.5842 Epoch 33/100 16/16 [==============================] - 0s 935us/step - loss: 0.5826 Epoch 34/100 16/16 [==============================] - 0s 873us/step - loss: 0.5807 Epoch 35/100 16/16 [==============================] - 0s 935us/step - loss: 0.5798 Epoch 36/100 16/16 [==============================] - 0s 935us/step - loss: 0.5777 Epoch 37/100 16/16 [==============================] - 0s 935us/step - loss: 0.5757 Epoch 38/100 16/16 [==============================] - 0s 935us/step - loss: 0.5748 Epoch 39/100 16/16 [==============================] - 0s 935us/step - loss: 0.5742 Epoch 40/100 16/16 [==============================] - 0s 935us/step - loss: 0.5726 Epoch 41/100 16/16 [==============================] - 0s 873us/step - loss: 0.5713 Epoch 42/100 16/16 [==============================] - 0s 997us/step - loss: 0.5685 Epoch 43/100 16/16 [==============================] - 0s 935us/step - loss: 0.5685 Epoch 44/100 16/16 [==============================] - 0s 935us/step - loss: 0.5661 Epoch 45/100 16/16 [==============================] - 0s 935us/step - loss: 0.5659 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.5648 Epoch 47/100 16/16 [==============================] - 0s 997us/step - loss: 0.5649 Epoch 48/100 16/16 [==============================] - 0s 935us/step - loss: 0.5627 Epoch 49/100 16/16 [==============================] - 0s 873us/step - loss: 0.5640 Epoch 50/100 16/16 [==============================] - 0s 997us/step - loss: 0.5617 Epoch 51/100 16/16 [==============================] - 0s 935us/step - loss: 0.5601 Epoch 52/100 16/16 [==============================] - 0s 997us/step - loss: 0.5591 Epoch 53/100 16/16 [==============================] - 0s 997us/step - loss: 0.5596 Epoch 54/100 16/16 [==============================] - 0s 997us/step - loss: 0.5583 Epoch 55/100 16/16 [==============================] - 0s 935us/step - loss: 0.5577 Epoch 56/100 16/16 [==============================] - 0s 935us/step - loss: 0.5575 Epoch 57/100 16/16 [==============================] - 0s 935us/step - loss: 0.5557 Epoch 58/100 16/16 [==============================] - 0s 935us/step - loss: 0.5561 Epoch 59/100 16/16 [==============================] - 0s 935us/step - loss: 0.5573 Epoch 60/100 16/16 [==============================] - 0s 873us/step - loss: 0.5556 Epoch 61/100 16/16 [==============================] - ETA: 0s - loss: 0.641 - 0s 997us/step - loss: 0.5552 Epoch 62/100 16/16 [==============================] - 0s 935us/step - loss: 0.5539 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5529 Epoch 64/100 16/16 [==============================] - 0s 873us/step - loss: 0.5533 Epoch 65/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5527 Epoch 66/100 16/16 [==============================] - 0s 873us/step - loss: 0.5517 Epoch 67/100 16/16 [==============================] - 0s 935us/step - loss: 0.5539 Epoch 68/100 16/16 [==============================] - 0s 873us/step - loss: 0.5510 Epoch 69/100 16/16 [==============================] - 0s 935us/step - loss: 0.5511 Epoch 70/100 16/16 [==============================] - 0s 935us/step - loss: 0.5512 Epoch 71/100 16/16 [==============================] - 0s 935us/step - loss: 0.5507 Epoch 72/100 16/16 [==============================] - 0s 935us/step - loss: 0.5507 Epoch 73/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5498 Epoch 74/100 16/16 [==============================] - 0s 935us/step - loss: 0.5488 Epoch 75/100 16/16 [==============================] - 0s 935us/step - loss: 0.5484 Epoch 76/100 16/16 [==============================] - 0s 935us/step - loss: 0.5487 Epoch 77/100 16/16 [==============================] - 0s 997us/step - loss: 0.5485 Epoch 78/100 16/16 [==============================] - 0s 935us/step - loss: 0.5476 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5474 Epoch 80/100 16/16 [==============================] - 0s 873us/step - loss: 0.5473 Epoch 81/100 16/16 [==============================] - ETA: 0s - loss: 0.557 - 0s 935us/step - loss: 0.5480 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5474 Epoch 83/100 16/16 [==============================] - 0s 997us/step - loss: 0.5460 Epoch 84/100 16/16 [==============================] - 0s 935us/step - loss: 0.5464 Epoch 85/100 16/16 [==============================] - 0s 997us/step - loss: 0.5457 Epoch 86/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5459 Epoch 87/100 16/16 [==============================] - 0s 935us/step - loss: 0.5454 Epoch 88/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5449 Epoch 89/100 16/16 [==============================] - 0s 997us/step - loss: 0.5446 Epoch 90/100 16/16 [==============================] - 0s 935us/step - loss: 0.5449 Epoch 91/100 16/16 [==============================] - 0s 873us/step - loss: 0.5444 Epoch 92/100 16/16 [==============================] - 0s 997us/step - loss: 0.5442 Epoch 93/100 16/16 [==============================] - 0s 997us/step - loss: 0.5443 Epoch 94/100 16/16 [==============================] - 0s 997us/step - loss: 0.5436 Epoch 95/100 16/16 [==============================] - 0s 997us/step - loss: 0.5441 Epoch 96/100 16/16 [==============================] - 0s 935us/step - loss: 0.5443 Epoch 97/100 16/16 [==============================] - 0s 997us/step - loss: 0.5429 Epoch 98/100 16/16 [==============================] - 0s 873us/step - loss: 0.5433 Epoch 99/100 16/16 [==============================] - 0s 997us/step - loss: 0.5427 Epoch 100/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5421 ###################################################################### Accuracy: 88.26108673135506 Epoch 1/100 16/16 [==============================] - 0s 1ms/step - loss: 1.0175 Epoch 2/100 16/16 [==============================] - 0s 997us/step - loss: 1.0127 Epoch 3/100 16/16 [==============================] - 0s 935us/step - loss: 1.0027 Epoch 4/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9824 Epoch 5/100 16/16 [==============================] - 0s 997us/step - loss: 0.9496 Epoch 6/100 16/16 [==============================] - 0s 873us/step - loss: 0.9018 Epoch 7/100 16/16 [==============================] - 0s 997us/step - loss: 0.8420 Epoch 8/100 16/16 [==============================] - 0s 997us/step - loss: 0.7815 Epoch 9/100 16/16 [==============================] - 0s 997us/step - loss: 0.7324 Epoch 10/100 16/16 [==============================] - 0s 872us/step - loss: 0.6986 Epoch 11/100 16/16 [==============================] - 0s 935us/step - loss: 0.6782 Epoch 12/100 16/16 [==============================] - 0s 935us/step - loss: 0.6633 Epoch 13/100 16/16 [==============================] - 0s 935us/step - loss: 0.6520 Epoch 14/100 16/16 [==============================] - 0s 997us/step - loss: 0.6448 Epoch 15/100 16/16 [==============================] - 0s 935us/step - loss: 0.6426 Epoch 16/100 16/16 [==============================] - 0s 997us/step - loss: 0.6385 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6380 Epoch 18/100 16/16 [==============================] - 0s 935us/step - loss: 0.6337 Epoch 19/100 16/16 [==============================] - 0s 873us/step - loss: 0.6306 Epoch 20/100 16/16 [==============================] - 0s 935us/step - loss: 0.6293 Epoch 21/100 16/16 [==============================] - 0s 935us/step - loss: 0.6267 Epoch 22/100 16/16 [==============================] - 0s 998us/step - loss: 0.6251 Epoch 23/100 16/16 [==============================] - 0s 935us/step - loss: 0.6240 Epoch 24/100 16/16 [==============================] - 0s 997us/step - loss: 0.6222 Epoch 25/100 16/16 [==============================] - 0s 997us/step - loss: 0.6204 Epoch 26/100 16/16 [==============================] - 0s 935us/step - loss: 0.6190 Epoch 27/100 16/16 [==============================] - 0s 1ms/step - loss: 0.6169 Epoch 28/100 16/16 [==============================] - 0s 873us/step - loss: 0.6161 Epoch 29/100 16/16 [==============================] - 0s 997us/step - loss: 0.6147 Epoch 30/100 16/16 [==============================] - 0s 873us/step - loss: 0.6127 Epoch 31/100 16/16 [==============================] - 0s 997us/step - loss: 0.6119 Epoch 32/100 16/16 [==============================] - 0s 997us/step - loss: 0.6103 Epoch 33/100 16/16 [==============================] - 0s 935us/step - loss: 0.6084 Epoch 34/100 16/16 [==============================] - 0s 935us/step - loss: 0.6077 Epoch 35/100 16/16 [==============================] - 0s 997us/step - loss: 0.6074 Epoch 36/100 16/16 [==============================] - 0s 997us/step - loss: 0.6061 Epoch 37/100 16/16 [==============================] - 0s 873us/step - loss: 0.6045 Epoch 38/100 16/16 [==============================] - 0s 997us/step - loss: 0.6039 Epoch 39/100 16/16 [==============================] - 0s 873us/step - loss: 0.6026 Epoch 40/100 16/16 [==============================] - 0s 935us/step - loss: 0.6016 Epoch 41/100 16/16 [==============================] - 0s 935us/step - loss: 0.6003 Epoch 42/100 16/16 [==============================] - 0s 935us/step - loss: 0.5998 Epoch 43/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5994 Epoch 44/100 16/16 [==============================] - 0s 873us/step - loss: 0.5981 Epoch 45/100 16/16 [==============================] - 0s 997us/step - loss: 0.5970 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.5979 Epoch 47/100 16/16 [==============================] - 0s 997us/step - loss: 0.5957 Epoch 48/100 16/16 [==============================] - 0s 935us/step - loss: 0.5952 Epoch 49/100 16/16 [==============================] - 0s 935us/step - loss: 0.5941 Epoch 50/100 16/16 [==============================] - 0s 997us/step - loss: 0.5930 Epoch 51/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5924 Epoch 52/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5915 Epoch 53/100 16/16 [==============================] - 0s 935us/step - loss: 0.5909 Epoch 54/100 16/16 [==============================] - 0s 810us/step - loss: 0.5913 Epoch 55/100 16/16 [==============================] - 0s 997us/step - loss: 0.5901 Epoch 56/100 16/16 [==============================] - 0s 935us/step - loss: 0.5898 Epoch 57/100 16/16 [==============================] - 0s 997us/step - loss: 0.5885 Epoch 58/100 16/16 [==============================] - 0s 997us/step - loss: 0.5896 Epoch 59/100 16/16 [==============================] - 0s 997us/step - loss: 0.5883 Epoch 60/100 16/16 [==============================] - 0s 998us/step - loss: 0.5871 Epoch 61/100 16/16 [==============================] - 0s 997us/step - loss: 0.5865 Epoch 62/100 16/16 [==============================] - 0s 935us/step - loss: 0.5867 Epoch 63/100 16/16 [==============================] - 0s 1000us/step - loss: 0.5864 Epoch 64/100 16/16 [==============================] - 0s 997us/step - loss: 0.5854 Epoch 65/100 16/16 [==============================] - 0s 997us/step - loss: 0.5843 Epoch 66/100 16/16 [==============================] - 0s 997us/step - loss: 0.5841 Epoch 67/100 16/16 [==============================] - 0s 935us/step - loss: 0.5835 Epoch 68/100 16/16 [==============================] - 0s 997us/step - loss: 0.5842 Epoch 69/100 16/16 [==============================] - 0s 873us/step - loss: 0.5822 Epoch 70/100 16/16 [==============================] - 0s 810us/step - loss: 0.5820 Epoch 71/100 16/16 [==============================] - 0s 873us/step - loss: 0.5821 Epoch 72/100 16/16 [==============================] - 0s 935us/step - loss: 0.5816 Epoch 73/100 16/16 [==============================] - 0s 873us/step - loss: 0.5811 Epoch 74/100 16/16 [==============================] - 0s 935us/step - loss: 0.5813 Epoch 75/100 16/16 [==============================] - 0s 997us/step - loss: 0.5803 Epoch 76/100 16/16 [==============================] - 0s 873us/step - loss: 0.5794 Epoch 77/100 16/16 [==============================] - 0s 997us/step - loss: 0.5805 Epoch 78/100 16/16 [==============================] - 0s 873us/step - loss: 0.5795 Epoch 79/100 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 80/100 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 81/100 16/16 [==============================] - 0s 935us/step - loss: 0.5778 Epoch 82/100 16/16 [==============================] - 0s 873us/step - loss: 0.5770 Epoch 83/100 16/16 [==============================] - 0s 997us/step - loss: 0.5767 Epoch 84/100 16/16 [==============================] - 0s 935us/step - loss: 0.5767 Epoch 85/100 16/16 [==============================] - 0s 997us/step - loss: 0.5758 Epoch 86/100 16/16 [==============================] - 0s 935us/step - loss: 0.5758 Epoch 87/100 16/16 [==============================] - 0s 873us/step - loss: 0.5746 Epoch 88/100 16/16 [==============================] - 0s 873us/step - loss: 0.5743 Epoch 89/100 16/16 [==============================] - 0s 935us/step - loss: 0.5746 Epoch 90/100 16/16 [==============================] - 0s 997us/step - loss: 0.5741 Epoch 91/100 16/16 [==============================] - 0s 810us/step - loss: 0.5732 Epoch 92/100 16/16 [==============================] - 0s 873us/step - loss: 0.5740 Epoch 93/100 16/16 [==============================] - 0s 935us/step - loss: 0.5730 Epoch 94/100 16/16 [==============================] - 0s 873us/step - loss: 0.5720 Epoch 95/100 16/16 [==============================] - 0s 810us/step - loss: 0.5722 Epoch 96/100 16/16 [==============================] - 0s 935us/step - loss: 0.5707 Epoch 97/100 16/16 [==============================] - 0s 873us/step - loss: 0.5725 Epoch 98/100 16/16 [==============================] - 0s 810us/step - loss: 0.5705 Epoch 99/100 16/16 [==============================] - 0s 810us/step - loss: 0.5706 Epoch 100/100 16/16 [==============================] - 0s 935us/step - loss: 0.5693 ###################################################################### Accuracy: 74.5307144909776 Epoch 1/100 16/16 [==============================] - 0s 2ms/step - loss: 1.0020 Epoch 2/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9995 Epoch 3/100 16/16 [==============================] - 0s 997us/step - loss: 0.9945 Epoch 4/100 16/16 [==============================] - 0s 935us/step - loss: 0.9839 Epoch 5/100 16/16 [==============================] - 0s 935us/step - loss: 0.9614 Epoch 6/100 16/16 [==============================] - 0s 997us/step - loss: 0.9211 Epoch 7/100 16/16 [==============================] - 0s 935us/step - loss: 0.8604 Epoch 8/100 16/16 [==============================] - 0s 997us/step - loss: 0.7883 Epoch 9/100 16/16 [==============================] - 0s 935us/step - loss: 0.7231 Epoch 10/100 16/16 [==============================] - 0s 997us/step - loss: 0.6730 Epoch 11/100 16/16 [==============================] - 0s 997us/step - loss: 0.6499 Epoch 12/100 16/16 [==============================] - 0s 997us/step - loss: 0.6385 Epoch 13/100 16/16 [==============================] - 0s 935us/step - loss: 0.6346 Epoch 14/100 16/16 [==============================] - 0s 935us/step - loss: 0.6306 Epoch 15/100 16/16 [==============================] - 0s 997us/step - loss: 0.6266 Epoch 16/100 16/16 [==============================] - 0s 935us/step - loss: 0.6250 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6219 Epoch 18/100 16/16 [==============================] - ETA: 0s - loss: 0.483 - 0s 997us/step - loss: 0.6206 Epoch 19/100 16/16 [==============================] - 0s 872us/step - loss: 0.6177 Epoch 20/100 16/16 [==============================] - 0s 935us/step - loss: 0.6158 Epoch 21/100 16/16 [==============================] - 0s 935us/step - loss: 0.6138 Epoch 22/100 16/16 [==============================] - 0s 935us/step - loss: 0.6118 Epoch 23/100 16/16 [==============================] - 0s 997us/step - loss: 0.6102 Epoch 24/100 16/16 [==============================] - 0s 935us/step - loss: 0.6084 Epoch 25/100 16/16 [==============================] - 0s 873us/step - loss: 0.6065 Epoch 26/100 16/16 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 27/100 16/16 [==============================] - 0s 873us/step - loss: 0.6035 Epoch 28/100 16/16 [==============================] - 0s 997us/step - loss: 0.6009 Epoch 29/100 16/16 [==============================] - 0s 935us/step - loss: 0.5992 Epoch 30/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5980 Epoch 31/100 16/16 [==============================] - 0s 873us/step - loss: 0.5969 Epoch 32/100 16/16 [==============================] - 0s 873us/step - loss: 0.5952 Epoch 33/100 16/16 [==============================] - 0s 997us/step - loss: 0.5926 Epoch 34/100 16/16 [==============================] - 0s 997us/step - loss: 0.5919 Epoch 35/100 16/16 [==============================] - 0s 3ms/step - loss: 0.5914 Epoch 36/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5897 Epoch 37/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5887 Epoch 38/100 16/16 [==============================] - 0s 997us/step - loss: 0.5864 Epoch 39/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5855 Epoch 40/100 16/16 [==============================] - 0s 873us/step - loss: 0.5847 Epoch 41/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5836 Epoch 42/100 16/16 [==============================] - 0s 873us/step - loss: 0.5838 Epoch 43/100 16/16 [==============================] - 0s 935us/step - loss: 0.5814 Epoch 44/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5807 Epoch 45/100 16/16 [==============================] - 0s 935us/step - loss: 0.5791 Epoch 46/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5787 Epoch 47/100 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 48/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5767 Epoch 49/100 16/16 [==============================] - 0s 873us/step - loss: 0.5761 Epoch 50/100 16/16 [==============================] - 0s 935us/step - loss: 0.5751 Epoch 51/100 16/16 [==============================] - 0s 873us/step - loss: 0.5748 Epoch 52/100 16/16 [==============================] - 0s 873us/step - loss: 0.5758 Epoch 53/100 16/16 [==============================] - 0s 935us/step - loss: 0.5732 Epoch 54/100 16/16 [==============================] - 0s 997us/step - loss: 0.5722 Epoch 55/100 16/16 [==============================] - 0s 810us/step - loss: 0.5715 Epoch 56/100 16/16 [==============================] - 0s 997us/step - loss: 0.5707 Epoch 57/100 16/16 [==============================] - 0s 997us/step - loss: 0.5706 Epoch 58/100 16/16 [==============================] - 0s 997us/step - loss: 0.5693 Epoch 59/100 16/16 [==============================] - 0s 935us/step - loss: 0.5697 Epoch 60/100 16/16 [==============================] - 0s 997us/step - loss: 0.5693 Epoch 61/100 16/16 [==============================] - 0s 935us/step - loss: 0.5683 Epoch 62/100 16/16 [==============================] - 0s 935us/step - loss: 0.5675 Epoch 63/100 16/16 [==============================] - 0s 997us/step - loss: 0.5677 Epoch 64/100 16/16 [==============================] - 0s 997us/step - loss: 0.5658 Epoch 65/100 16/16 [==============================] - 0s 935us/step - loss: 0.5660 Epoch 66/100 16/16 [==============================] - 0s 997us/step - loss: 0.5652 Epoch 67/100 16/16 [==============================] - 0s 810us/step - loss: 0.5646 Epoch 68/100 16/16 [==============================] - 0s 873us/step - loss: 0.5638 Epoch 69/100 16/16 [==============================] - 0s 935us/step - loss: 0.5640 Epoch 70/100 16/16 [==============================] - 0s 997us/step - loss: 0.5625 Epoch 71/100 16/16 [==============================] - 0s 936us/step - loss: 0.5636 Epoch 72/100 16/16 [==============================] - 0s 935us/step - loss: 0.5629 Epoch 73/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5630 Epoch 74/100 16/16 [==============================] - 0s 873us/step - loss: 0.5625 Epoch 75/100 16/16 [==============================] - 0s 873us/step - loss: 0.5609 Epoch 76/100 16/16 [==============================] - 0s 935us/step - loss: 0.5615 Epoch 77/100 16/16 [==============================] - 0s 935us/step - loss: 0.5607 Epoch 78/100 16/16 [==============================] - 0s 997us/step - loss: 0.5609 Epoch 79/100 16/16 [==============================] - 0s 935us/step - loss: 0.5598 Epoch 80/100 16/16 [==============================] - 0s 935us/step - loss: 0.5590 Epoch 81/100 16/16 [==============================] - 0s 935us/step - loss: 0.5593 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5588 Epoch 83/100 16/16 [==============================] - 0s 935us/step - loss: 0.5587 Epoch 84/100 16/16 [==============================] - 0s 935us/step - loss: 0.5579 Epoch 85/100 16/16 [==============================] - 0s 935us/step - loss: 0.5572 Epoch 86/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5567 Epoch 87/100 16/16 [==============================] - 0s 997us/step - loss: 0.5571 Epoch 88/100 16/16 [==============================] - 0s 997us/step - loss: 0.5567 Epoch 89/100 16/16 [==============================] - 0s 997us/step - loss: 0.5561 Epoch 90/100 16/16 [==============================] - 0s 997us/step - loss: 0.5569 Epoch 91/100 16/16 [==============================] - 0s 997us/step - loss: 0.5566 Epoch 92/100 16/16 [==============================] - 0s 997us/step - loss: 0.5556 Epoch 93/100 16/16 [==============================] - 0s 935us/step - loss: 0.5565 Epoch 94/100 16/16 [==============================] - 0s 997us/step - loss: 0.5562 Epoch 95/100 16/16 [==============================] - 0s 997us/step - loss: 0.5546 Epoch 96/100 16/16 [==============================] - 0s 935us/step - loss: 0.5552 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5553 Epoch 98/100 16/16 [==============================] - 0s 935us/step - loss: 0.5548 Epoch 99/100 16/16 [==============================] - 0s 997us/step - loss: 0.5542 Epoch 100/100 16/16 [==============================] - 0s 997us/step - loss: 0.5534 ###################################################################### Accuracy: 74.60852231749777 Epoch 1/150 16/16 [==============================] - 0s 2ms/step - loss: 1.0188 Epoch 2/150 16/16 [==============================] - 0s 873us/step - loss: 1.0170 Epoch 3/150 16/16 [==============================] - 0s 935us/step - loss: 1.0131 Epoch 4/150 16/16 [==============================] - 0s 873us/step - loss: 1.0042 Epoch 5/150 16/16 [==============================] - 0s 935us/step - loss: 0.9861 Epoch 6/150 16/16 [==============================] - 0s 997us/step - loss: 0.9571 Epoch 7/150 16/16 [==============================] - 0s 935us/step - loss: 0.9151 Epoch 8/150 16/16 [==============================] - 0s 935us/step - loss: 0.8604 Epoch 9/150 16/16 [==============================] - 0s 935us/step - loss: 0.7981 Epoch 10/150 16/16 [==============================] - 0s 997us/step - loss: 0.7387 Epoch 11/150 16/16 [==============================] - 0s 997us/step - loss: 0.6920 Epoch 12/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6642 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.6474 Epoch 14/150 16/16 [==============================] - 0s 935us/step - loss: 0.6399 Epoch 15/150 16/16 [==============================] - 0s 997us/step - loss: 0.6372 Epoch 16/150 16/16 [==============================] - 0s 873us/step - loss: 0.6334 Epoch 17/150 16/16 [==============================] - 0s 935us/step - loss: 0.6305 Epoch 18/150 16/16 [==============================] - 0s 935us/step - loss: 0.6279 Epoch 19/150 16/16 [==============================] - 0s 873us/step - loss: 0.6258 Epoch 20/150 16/16 [==============================] - 0s 997us/step - loss: 0.6231 Epoch 21/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6212 Epoch 22/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6196 Epoch 23/150 16/16 [==============================] - 0s 873us/step - loss: 0.6177 Epoch 24/150 16/16 [==============================] - 0s 935us/step - loss: 0.6156 Epoch 25/150 16/16 [==============================] - 0s 935us/step - loss: 0.6139 Epoch 26/150 16/16 [==============================] - 0s 997us/step - loss: 0.6119 Epoch 27/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6107 Epoch 28/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6091 Epoch 29/150 16/16 [==============================] - 0s 935us/step - loss: 0.6065 Epoch 30/150 16/16 [==============================] - 0s 935us/step - loss: 0.6053 Epoch 31/150 16/16 [==============================] - 0s 935us/step - loss: 0.6041 Epoch 32/150 16/16 [==============================] - 0s 997us/step - loss: 0.6017 Epoch 33/150 16/16 [==============================] - 0s 873us/step - loss: 0.5998 Epoch 34/150 16/16 [==============================] - 0s 997us/step - loss: 0.5983 Epoch 35/150 16/16 [==============================] - 0s 997us/step - loss: 0.5969 Epoch 36/150 16/16 [==============================] - 0s 935us/step - loss: 0.5962 Epoch 37/150 16/16 [==============================] - 0s 997us/step - loss: 0.5942 Epoch 38/150 16/16 [==============================] - 0s 997us/step - loss: 0.5936 Epoch 39/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5913 Epoch 40/150 16/16 [==============================] - 0s 997us/step - loss: 0.5899 Epoch 41/150 16/16 [==============================] - 0s 997us/step - loss: 0.5877 Epoch 42/150 16/16 [==============================] - 0s 873us/step - loss: 0.5872 Epoch 43/150 16/16 [==============================] - 0s 873us/step - loss: 0.5853 Epoch 44/150 16/16 [==============================] - 0s 935us/step - loss: 0.5841 Epoch 45/150 16/16 [==============================] - 0s 873us/step - loss: 0.5823 Epoch 46/150 16/16 [==============================] - 0s 997us/step - loss: 0.5818 Epoch 47/150 16/16 [==============================] - 0s 997us/step - loss: 0.5815 Epoch 48/150 16/16 [==============================] - 0s 935us/step - loss: 0.5798 Epoch 49/150 16/16 [==============================] - 0s 935us/step - loss: 0.5793 Epoch 50/150 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 51/150 16/16 [==============================] - 0s 873us/step - loss: 0.5766 Epoch 52/150 16/16 [==============================] - 0s 997us/step - loss: 0.5755 Epoch 53/150 16/16 [==============================] - 0s 935us/step - loss: 0.5755 Epoch 54/150 16/16 [==============================] - 0s 935us/step - loss: 0.5732 Epoch 55/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5723 Epoch 56/150 16/16 [==============================] - 0s 997us/step - loss: 0.5724 Epoch 57/150 16/16 [==============================] - 0s 997us/step - loss: 0.5708 Epoch 58/150 16/16 [==============================] - 0s 935us/step - loss: 0.5696 Epoch 59/150 16/16 [==============================] - 0s 997us/step - loss: 0.5688 Epoch 60/150 16/16 [==============================] - 0s 997us/step - loss: 0.5678 Epoch 61/150 16/16 [==============================] - 0s 997us/step - loss: 0.5671 Epoch 62/150 16/16 [==============================] - 0s 935us/step - loss: 0.5663 Epoch 63/150 16/16 [==============================] - 0s 997us/step - loss: 0.5658 Epoch 64/150 16/16 [==============================] - 0s 997us/step - loss: 0.5646 Epoch 65/150 16/16 [==============================] - 0s 873us/step - loss: 0.5643 Epoch 66/150 16/16 [==============================] - 0s 997us/step - loss: 0.5639 Epoch 67/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5623 Epoch 68/150 16/16 [==============================] - 0s 935us/step - loss: 0.5618 Epoch 69/150 16/16 [==============================] - 0s 935us/step - loss: 0.5615 Epoch 70/150 16/16 [==============================] - 0s 935us/step - loss: 0.5611 Epoch 71/150 16/16 [==============================] - 0s 873us/step - loss: 0.5600 Epoch 72/150 16/16 [==============================] - 0s 810us/step - loss: 0.5597 Epoch 73/150 16/16 [==============================] - 0s 873us/step - loss: 0.5586 Epoch 74/150 16/16 [==============================] - 0s 997us/step - loss: 0.5585 Epoch 75/150 16/16 [==============================] - 0s 935us/step - loss: 0.5572 Epoch 76/150 16/16 [==============================] - 0s 935us/step - loss: 0.5570 Epoch 77/150 16/16 [==============================] - 0s 935us/step - loss: 0.5566 Epoch 78/150 16/16 [==============================] - 0s 935us/step - loss: 0.5559 Epoch 79/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5549 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5555 Epoch 81/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5543 Epoch 82/150 16/16 [==============================] - 0s 935us/step - loss: 0.5539 Epoch 83/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5536 Epoch 84/150 16/16 [==============================] - 0s 935us/step - loss: 0.5521 Epoch 85/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5516 Epoch 86/150 16/16 [==============================] - 0s 935us/step - loss: 0.5505 Epoch 87/150 16/16 [==============================] - 0s 935us/step - loss: 0.5511 Epoch 88/150 16/16 [==============================] - 0s 997us/step - loss: 0.5511 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5501 Epoch 90/150 16/16 [==============================] - 0s 873us/step - loss: 0.5499 Epoch 91/150 16/16 [==============================] - 0s 935us/step - loss: 0.5486 Epoch 92/150 16/16 [==============================] - 0s 997us/step - loss: 0.5485 Epoch 93/150 16/16 [==============================] - 0s 997us/step - loss: 0.5497 Epoch 94/150 16/16 [==============================] - 0s 997us/step - loss: 0.5476 Epoch 95/150 16/16 [==============================] - 0s 997us/step - loss: 0.5467 Epoch 96/150 16/16 [==============================] - 0s 997us/step - loss: 0.5468 Epoch 97/150 16/16 [==============================] - 0s 873us/step - loss: 0.5462 Epoch 98/150 16/16 [==============================] - 0s 935us/step - loss: 0.5454 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5455 Epoch 100/150 16/16 [==============================] - 0s 873us/step - loss: 0.5443 Epoch 101/150 16/16 [==============================] - 0s 872us/step - loss: 0.5447 Epoch 102/150 16/16 [==============================] - 0s 997us/step - loss: 0.5444 Epoch 103/150 16/16 [==============================] - 0s 997us/step - loss: 0.5436 Epoch 104/150 16/16 [==============================] - 0s 935us/step - loss: 0.5428 Epoch 105/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5422 Epoch 106/150 16/16 [==============================] - 0s 997us/step - loss: 0.5426 Epoch 107/150 16/16 [==============================] - 0s 997us/step - loss: 0.5423 Epoch 108/150 16/16 [==============================] - 0s 873us/step - loss: 0.5420 Epoch 109/150 16/16 [==============================] - 0s 997us/step - loss: 0.5417 Epoch 110/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5416 Epoch 111/150 16/16 [==============================] - 0s 935us/step - loss: 0.5415 Epoch 112/150 16/16 [==============================] - 0s 873us/step - loss: 0.5408 Epoch 113/150 16/16 [==============================] - 0s 935us/step - loss: 0.5402 Epoch 114/150 16/16 [==============================] - 0s 997us/step - loss: 0.5399 Epoch 115/150 16/16 [==============================] - 0s 935us/step - loss: 0.5405 Epoch 116/150 16/16 [==============================] - 0s 935us/step - loss: 0.5405 Epoch 117/150 16/16 [==============================] - 0s 935us/step - loss: 0.5389 Epoch 118/150 16/16 [==============================] - 0s 810us/step - loss: 0.5380 Epoch 119/150 16/16 [==============================] - 0s 935us/step - loss: 0.5384 Epoch 120/150 16/16 [==============================] - 0s 935us/step - loss: 0.5385 Epoch 121/150 16/16 [==============================] - 0s 935us/step - loss: 0.5371 Epoch 122/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5370 Epoch 123/150 16/16 [==============================] - 0s 997us/step - loss: 0.5368 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5359 Epoch 125/150 16/16 [==============================] - 0s 935us/step - loss: 0.5358 Epoch 126/150 16/16 [==============================] - 0s 935us/step - loss: 0.5357 Epoch 127/150 16/16 [==============================] - 0s 935us/step - loss: 0.5356 Epoch 128/150 16/16 [==============================] - 0s 873us/step - loss: 0.5347 Epoch 129/150 16/16 [==============================] - 0s 997us/step - loss: 0.5355 Epoch 130/150 16/16 [==============================] - 0s 935us/step - loss: 0.5349 Epoch 131/150 16/16 [==============================] - 0s 997us/step - loss: 0.5340 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5336 Epoch 133/150 16/16 [==============================] - 0s 997us/step - loss: 0.5331 Epoch 134/150 16/16 [==============================] - 0s 935us/step - loss: 0.5325 Epoch 135/150 16/16 [==============================] - 0s 997us/step - loss: 0.5323 Epoch 136/150 16/16 [==============================] - 0s 998us/step - loss: 0.5321 Epoch 137/150 16/16 [==============================] - 0s 935us/step - loss: 0.5327 Epoch 138/150 16/16 [==============================] - 0s 997us/step - loss: 0.5335 Epoch 139/150 16/16 [==============================] - 0s 873us/step - loss: 0.5315 Epoch 140/150 16/16 [==============================] - 0s 997us/step - loss: 0.5314 Epoch 141/150 16/16 [==============================] - 0s 873us/step - loss: 0.5317 Epoch 142/150 16/16 [==============================] - 0s 935us/step - loss: 0.5312 Epoch 143/150 16/16 [==============================] - 0s 935us/step - loss: 0.5313 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5311 Epoch 145/150 16/16 [==============================] - 0s 935us/step - loss: 0.5311 Epoch 146/150 16/16 [==============================] - 0s 997us/step - loss: 0.5297 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5294 Epoch 148/150 16/16 [==============================] - 0s 997us/step - loss: 0.5300 Epoch 149/150 16/16 [==============================] - 0s 872us/step - loss: 0.5304 Epoch 150/150 16/16 [==============================] - 0s 935us/step - loss: 0.5284 ###################################################################### Accuracy: 72.61707701726945 Epoch 1/150 16/16 [==============================] - 0s 2ms/step - loss: 0.9866 Epoch 2/150 16/16 [==============================] - 0s 998us/step - loss: 0.9860 Epoch 3/150 16/16 [==============================] - 0s 1ms/step - loss: 0.9847 Epoch 4/150 16/16 [==============================] - 0s 997us/step - loss: 0.9809 Epoch 5/150 16/16 [==============================] - 0s 935us/step - loss: 0.9717 Epoch 6/150 16/16 [==============================] - 0s 935us/step - loss: 0.9551 Epoch 7/150 16/16 [==============================] - 0s 935us/step - loss: 0.9277 Epoch 8/150 16/16 [==============================] - 0s 873us/step - loss: 0.8927 Epoch 9/150 16/16 [==============================] - 0s 1ms/step - loss: 0.8539 Epoch 10/150 16/16 [==============================] - 0s 997us/step - loss: 0.8161 Epoch 11/150 16/16 [==============================] - 0s 935us/step - loss: 0.7851 Epoch 12/150 16/16 [==============================] - 0s 997us/step - loss: 0.7632 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.7477 Epoch 14/150 16/16 [==============================] - 0s 935us/step - loss: 0.7314 Epoch 15/150 16/16 [==============================] - 0s 935us/step - loss: 0.7133 Epoch 16/150 16/16 [==============================] - 0s 935us/step - loss: 0.6930 Epoch 17/150 16/16 [==============================] - 0s 997us/step - loss: 0.6739 Epoch 18/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6556 Epoch 19/150 16/16 [==============================] - 0s 935us/step - loss: 0.6431 Epoch 20/150 16/16 [==============================] - 0s 997us/step - loss: 0.6343 Epoch 21/150 16/16 [==============================] - 0s 873us/step - loss: 0.6273 Epoch 22/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6226 Epoch 23/150 16/16 [==============================] - 0s 997us/step - loss: 0.6190 Epoch 24/150 16/16 [==============================] - 0s 997us/step - loss: 0.6157 Epoch 25/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6136 Epoch 26/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6102 Epoch 27/150 16/16 [==============================] - 0s 997us/step - loss: 0.6078 Epoch 28/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6053 Epoch 29/150 16/16 [==============================] - 0s 997us/step - loss: 0.6031 Epoch 30/150 16/16 [==============================] - 0s 997us/step - loss: 0.6019 Epoch 31/150 16/16 [==============================] - 0s 935us/step - loss: 0.5994 Epoch 32/150 16/16 [==============================] - 0s 997us/step - loss: 0.5973 Epoch 33/150 16/16 [==============================] - 0s 935us/step - loss: 0.5959 Epoch 34/150 16/16 [==============================] - 0s 997us/step - loss: 0.5941 Epoch 35/150 16/16 [==============================] - 0s 997us/step - loss: 0.5921 Epoch 36/150 16/16 [==============================] - 0s 997us/step - loss: 0.5908 Epoch 37/150 16/16 [==============================] - 0s 935us/step - loss: 0.5895 Epoch 38/150 16/16 [==============================] - 0s 935us/step - loss: 0.5891 Epoch 39/150 16/16 [==============================] - 0s 997us/step - loss: 0.5878 Epoch 40/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5862 Epoch 41/150 16/16 [==============================] - 0s 997us/step - loss: 0.5857 Epoch 42/150 16/16 [==============================] - 0s 997us/step - loss: 0.5839 Epoch 43/150 16/16 [==============================] - 0s 935us/step - loss: 0.5828 Epoch 44/150 16/16 [==============================] - 0s 997us/step - loss: 0.5825 Epoch 45/150 16/16 [==============================] - 0s 935us/step - loss: 0.5813 Epoch 46/150 16/16 [==============================] - 0s 935us/step - loss: 0.5802 Epoch 47/150 16/16 [==============================] - 0s 997us/step - loss: 0.5794 Epoch 48/150 16/16 [==============================] - 0s 935us/step - loss: 0.5789 Epoch 49/150 16/16 [==============================] - 0s 935us/step - loss: 0.5783 Epoch 50/150 16/16 [==============================] - 0s 811us/step - loss: 0.5779 Epoch 51/150 16/16 [==============================] - 0s 997us/step - loss: 0.5775 Epoch 52/150 16/16 [==============================] - 0s 935us/step - loss: 0.5764 Epoch 53/150 16/16 [==============================] - 0s 997us/step - loss: 0.5758 Epoch 54/150 16/16 [==============================] - 0s 997us/step - loss: 0.5752 Epoch 55/150 16/16 [==============================] - 0s 997us/step - loss: 0.5747 Epoch 56/150 16/16 [==============================] - 0s 873us/step - loss: 0.5749 Epoch 57/150 16/16 [==============================] - 0s 810us/step - loss: 0.5742 Epoch 58/150 16/16 [==============================] - 0s 997us/step - loss: 0.5729 Epoch 59/150 16/16 [==============================] - 0s 997us/step - loss: 0.5731 Epoch 60/150 16/16 [==============================] - 0s 873us/step - loss: 0.5742 Epoch 61/150 16/16 [==============================] - 0s 873us/step - loss: 0.5724 Epoch 62/150 16/16 [==============================] - 0s 997us/step - loss: 0.5721 Epoch 63/150 16/16 [==============================] - 0s 873us/step - loss: 0.5709 Epoch 64/150 16/16 [==============================] - 0s 997us/step - loss: 0.5705 Epoch 65/150 16/16 [==============================] - 0s 997us/step - loss: 0.5701 Epoch 66/150 16/16 [==============================] - 0s 935us/step - loss: 0.5695 Epoch 67/150 16/16 [==============================] - 0s 935us/step - loss: 0.5701 Epoch 68/150 16/16 [==============================] - 0s 997us/step - loss: 0.5698 Epoch 69/150 16/16 [==============================] - 0s 935us/step - loss: 0.5684 Epoch 70/150 16/16 [==============================] - 0s 935us/step - loss: 0.5689 Epoch 71/150 16/16 [==============================] - 0s 873us/step - loss: 0.5679 Epoch 72/150 16/16 [==============================] - 0s 997us/step - loss: 0.5690 Epoch 73/150 16/16 [==============================] - 0s 935us/step - loss: 0.5672 Epoch 74/150 16/16 [==============================] - 0s 997us/step - loss: 0.5679 Epoch 75/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5680 Epoch 76/150 16/16 [==============================] - 0s 997us/step - loss: 0.5670 Epoch 77/150 16/16 [==============================] - 0s 997us/step - loss: 0.5664 Epoch 78/150 16/16 [==============================] - 0s 935us/step - loss: 0.5663 Epoch 79/150 16/16 [==============================] - 0s 873us/step - loss: 0.5667 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5662 Epoch 81/150 16/16 [==============================] - 0s 935us/step - loss: 0.5659 Epoch 82/150 16/16 [==============================] - 0s 997us/step - loss: 0.5653 Epoch 83/150 16/16 [==============================] - 0s 997us/step - loss: 0.5650 Epoch 84/150 16/16 [==============================] - 0s 997us/step - loss: 0.5650 Epoch 85/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5647 Epoch 86/150 16/16 [==============================] - 0s 997us/step - loss: 0.5640 Epoch 87/150 16/16 [==============================] - 0s 997us/step - loss: 0.5644 Epoch 88/150 16/16 [==============================] - 0s 997us/step - loss: 0.5635 Epoch 89/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5635 Epoch 90/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5631 Epoch 91/150 16/16 [==============================] - 0s 935us/step - loss: 0.5629 Epoch 92/150 16/16 [==============================] - 0s 997us/step - loss: 0.5635 Epoch 93/150 16/16 [==============================] - 0s 935us/step - loss: 0.5623 Epoch 94/150 16/16 [==============================] - 0s 873us/step - loss: 0.5622 Epoch 95/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5616 Epoch 96/150 16/16 [==============================] - 0s 935us/step - loss: 0.5614 Epoch 97/150 16/16 [==============================] - 0s 935us/step - loss: 0.5611 Epoch 98/150 16/16 [==============================] - 0s 935us/step - loss: 0.5605 Epoch 99/150 16/16 [==============================] - 0s 997us/step - loss: 0.5606 Epoch 100/150 16/16 [==============================] - 0s 997us/step - loss: 0.5606 Epoch 101/150 16/16 [==============================] - 0s 997us/step - loss: 0.5603 Epoch 102/150 16/16 [==============================] - 0s 997us/step - loss: 0.5606 Epoch 103/150 16/16 [==============================] - 0s 997us/step - loss: 0.5593 Epoch 104/150 16/16 [==============================] - 0s 935us/step - loss: 0.5592 Epoch 105/150 16/16 [==============================] - 0s 997us/step - loss: 0.5588 Epoch 106/150 16/16 [==============================] - 0s 997us/step - loss: 0.5586 Epoch 107/150 16/16 [==============================] - 0s 997us/step - loss: 0.5588 Epoch 108/150 16/16 [==============================] - 0s 997us/step - loss: 0.5582 Epoch 109/150 16/16 [==============================] - 0s 935us/step - loss: 0.5587 Epoch 110/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5577 Epoch 111/150 16/16 [==============================] - 0s 997us/step - loss: 0.5576 Epoch 112/150 16/16 [==============================] - 0s 935us/step - loss: 0.5577 Epoch 113/150 16/16 [==============================] - 0s 997us/step - loss: 0.5578 Epoch 114/150 16/16 [==============================] - 0s 935us/step - loss: 0.5569 Epoch 115/150 16/16 [==============================] - 0s 997us/step - loss: 0.5570 Epoch 116/150 16/16 [==============================] - 0s 873us/step - loss: 0.5566 Epoch 117/150 16/16 [==============================] - 0s 997us/step - loss: 0.5560 Epoch 118/150 16/16 [==============================] - 0s 997us/step - loss: 0.5563 Epoch 119/150 16/16 [==============================] - 0s 935us/step - loss: 0.5552 Epoch 120/150 16/16 [==============================] - 0s 935us/step - loss: 0.5556 Epoch 121/150 16/16 [==============================] - 0s 997us/step - loss: 0.5553 Epoch 122/150 16/16 [==============================] - 0s 935us/step - loss: 0.5548 Epoch 123/150 16/16 [==============================] - 0s 810us/step - loss: 0.5557 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5544 Epoch 125/150 16/16 [==============================] - 0s 997us/step - loss: 0.5546 Epoch 126/150 16/16 [==============================] - 0s 873us/step - loss: 0.5543 Epoch 127/150 16/16 [==============================] - 0s 873us/step - loss: 0.5535 Epoch 128/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5539 Epoch 129/150 16/16 [==============================] - 0s 997us/step - loss: 0.5534 Epoch 130/150 16/16 [==============================] - 0s 873us/step - loss: 0.5533 Epoch 131/150 16/16 [==============================] - 0s 935us/step - loss: 0.5530 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5526 Epoch 133/150 16/16 [==============================] - 0s 873us/step - loss: 0.5521 Epoch 134/150 16/16 [==============================] - 0s 873us/step - loss: 0.5525 Epoch 135/150 16/16 [==============================] - 0s 997us/step - loss: 0.5519 Epoch 136/150 16/16 [==============================] - 0s 997us/step - loss: 0.5515 Epoch 137/150 16/16 [==============================] - 0s 935us/step - loss: 0.5509 Epoch 138/150 16/16 [==============================] - 0s 997us/step - loss: 0.5504 Epoch 139/150 16/16 [==============================] - 0s 935us/step - loss: 0.5516 Epoch 140/150 16/16 [==============================] - 0s 997us/step - loss: 0.5498 Epoch 141/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5516 Epoch 142/150 16/16 [==============================] - 0s 997us/step - loss: 0.5495 Epoch 143/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5490 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5489 Epoch 145/150 16/16 [==============================] - 0s 997us/step - loss: 0.5485 Epoch 146/150 16/16 [==============================] - 0s 935us/step - loss: 0.5483 Epoch 147/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5477 Epoch 148/150 16/16 [==============================] - 0s 935us/step - loss: 0.5479 Epoch 149/150 16/16 [==============================] - 0s 935us/step - loss: 0.5491 Epoch 150/150 16/16 [==============================] - 0s 873us/step - loss: 0.5468 ###################################################################### Accuracy: 73.00146729512582 Epoch 1/150 16/16 [==============================] - 0s 976us/step - loss: 0.9766 Epoch 2/150 16/16 [==============================] - 0s 976us/step - loss: 0.9750 Epoch 3/150 16/16 [==============================] - 0s 976us/step - loss: 0.9715 Epoch 4/150 16/16 [==============================] - 0s 0s/step - loss: 0.9625 Epoch 5/150 16/16 [==============================] - 0s 976us/step - loss: 0.9461 Epoch 6/150 16/16 [==============================] - 0s 976us/step - loss: 0.9172 Epoch 7/150 16/16 [==============================] - 0s 977us/step - loss: 0.8755 Epoch 8/150 16/16 [==============================] - 0s 976us/step - loss: 0.8222 Epoch 9/150 16/16 [==============================] - 0s 976us/step - loss: 0.7649 Epoch 10/150 16/16 [==============================] - 0s 976us/step - loss: 0.7145 Epoch 11/150 16/16 [==============================] - 0s 976us/step - loss: 0.6775 Epoch 12/150 16/16 [==============================] - 0s 976us/step - loss: 0.6542 Epoch 13/150 16/16 [==============================] - 0s 976us/step - loss: 0.6386 Epoch 14/150 16/16 [==============================] - 0s 976us/step - loss: 0.6305 Epoch 15/150 16/16 [==============================] - 0s 976us/step - loss: 0.6260 Epoch 16/150 16/16 [==============================] - 0s 976us/step - loss: 0.6238 Epoch 17/150 16/16 [==============================] - 0s 0s/step - loss: 0.6215 Epoch 18/150 16/16 [==============================] - 0s 0s/step - loss: 0.6191 Epoch 19/150 16/16 [==============================] - 0s 0s/step - loss: 0.6173 Epoch 20/150 16/16 [==============================] - 0s 0s/step - loss: 0.6158 Epoch 21/150 16/16 [==============================] - 0s 976us/step - loss: 0.6131 Epoch 22/150 16/16 [==============================] - 0s 976us/step - loss: 0.6110 Epoch 23/150 16/16 [==============================] - 0s 976us/step - loss: 0.6095 Epoch 24/150 16/16 [==============================] - 0s 976us/step - loss: 0.6071 Epoch 25/150 16/16 [==============================] - 0s 976us/step - loss: 0.6052 Epoch 26/150 16/16 [==============================] - 0s 976us/step - loss: 0.6040 Epoch 27/150 16/16 [==============================] - 0s 976us/step - loss: 0.6028 Epoch 28/150 16/16 [==============================] - 0s 976us/step - loss: 0.6001 Epoch 29/150 16/16 [==============================] - 0s 976us/step - loss: 0.5996 Epoch 30/150 16/16 [==============================] - 0s 976us/step - loss: 0.5977 Epoch 31/150 16/16 [==============================] - 0s 976us/step - loss: 0.5961 Epoch 32/150 16/16 [==============================] - 0s 976us/step - loss: 0.5952 Epoch 33/150 16/16 [==============================] - 0s 976us/step - loss: 0.5932 Epoch 34/150 16/16 [==============================] - 0s 976us/step - loss: 0.5922 Epoch 35/150 16/16 [==============================] - 0s 0s/step - loss: 0.5915 Epoch 36/150 16/16 [==============================] - 0s 0s/step - loss: 0.5895 Epoch 37/150 16/16 [==============================] - 0s 0s/step - loss: 0.5888 Epoch 38/150 16/16 [==============================] - 0s 0s/step - loss: 0.5877 Epoch 39/150 16/16 [==============================] - 0s 0s/step - loss: 0.5860 Epoch 40/150 16/16 [==============================] - 0s 0s/step - loss: 0.5863 Epoch 41/150 16/16 [==============================] - 0s 0s/step - loss: 0.5842 Epoch 42/150 16/16 [==============================] - 0s 976us/step - loss: 0.5837 Epoch 43/150 16/16 [==============================] - 0s 976us/step - loss: 0.5827 Epoch 44/150 16/16 [==============================] - 0s 976us/step - loss: 0.5819 Epoch 45/150 16/16 [==============================] - 0s 0s/step - loss: 0.5812 Epoch 46/150 16/16 [==============================] - 0s 976us/step - loss: 0.5803 Epoch 47/150 16/16 [==============================] - 0s 976us/step - loss: 0.5804 Epoch 48/150 16/16 [==============================] - 0s 976us/step - loss: 0.5792 Epoch 49/150 16/16 [==============================] - 0s 2ms/step - loss: 0.5786 Epoch 50/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5771 Epoch 51/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5761 Epoch 52/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5757 Epoch 53/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5755 Epoch 54/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5743 Epoch 55/150 16/16 [==============================] - 0s 997us/step - loss: 0.5741 Epoch 56/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5733 Epoch 57/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5726 Epoch 58/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5721 Epoch 59/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5726 Epoch 60/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5714 Epoch 61/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5708 Epoch 62/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5709 Epoch 63/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5705 Epoch 64/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5705 Epoch 65/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5688 Epoch 66/150 16/16 [==============================] - 0s 997us/step - loss: 0.5682 Epoch 67/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5685 Epoch 68/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5676 Epoch 69/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5678 Epoch 70/150 16/16 [==============================] - 0s 997us/step - loss: 0.5672 Epoch 71/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5663 Epoch 72/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5662 Epoch 73/150 16/16 [==============================] - 0s 810us/step - loss: 0.5659 Epoch 74/150 16/16 [==============================] - 0s 997us/step - loss: 0.5652 Epoch 75/150 16/16 [==============================] - 0s 873us/step - loss: 0.5653 Epoch 76/150 16/16 [==============================] - 0s 935us/step - loss: 0.5646 Epoch 77/150 16/16 [==============================] - 0s 935us/step - loss: 0.5638 Epoch 78/150 16/16 [==============================] - 0s 935us/step - loss: 0.5633 Epoch 79/150 16/16 [==============================] - 0s 997us/step - loss: 0.5631 Epoch 80/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5630 Epoch 81/150 16/16 [==============================] - 0s 935us/step - loss: 0.5622 Epoch 82/150 16/16 [==============================] - 0s 935us/step - loss: 0.5622 Epoch 83/150 16/16 [==============================] - 0s 935us/step - loss: 0.5609 Epoch 84/150 16/16 [==============================] - 0s 997us/step - loss: 0.5605 Epoch 85/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5608 Epoch 86/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5597 Epoch 87/150 16/16 [==============================] - 0s 997us/step - loss: 0.5591 Epoch 88/150 16/16 [==============================] - 0s 935us/step - loss: 0.5589 Epoch 89/150 16/16 [==============================] - 0s 998us/step - loss: 0.5586 Epoch 90/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5580 Epoch 91/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5577 Epoch 92/150 16/16 [==============================] - 0s 997us/step - loss: 0.5575 Epoch 93/150 16/16 [==============================] - 0s 997us/step - loss: 0.5570 Epoch 94/150 16/16 [==============================] - 0s 873us/step - loss: 0.5562 Epoch 95/150 16/16 [==============================] - 0s 997us/step - loss: 0.5557 Epoch 96/150 16/16 [==============================] - 0s 873us/step - loss: 0.5554 Epoch 97/150 16/16 [==============================] - 0s 935us/step - loss: 0.5550 Epoch 98/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5541 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5539 Epoch 100/150 16/16 [==============================] - 0s 935us/step - loss: 0.5539 Epoch 101/150 16/16 [==============================] - 0s 935us/step - loss: 0.5528 Epoch 102/150 16/16 [==============================] - 0s 935us/step - loss: 0.5521 Epoch 103/150 16/16 [==============================] - 0s 873us/step - loss: 0.5519 Epoch 104/150 16/16 [==============================] - 0s 935us/step - loss: 0.5525 Epoch 105/150 16/16 [==============================] - 0s 935us/step - loss: 0.5506 Epoch 106/150 16/16 [==============================] - 0s 997us/step - loss: 0.5510 Epoch 107/150 16/16 [==============================] - 0s 997us/step - loss: 0.5508 Epoch 108/150 16/16 [==============================] - 0s 935us/step - loss: 0.5506 Epoch 109/150 16/16 [==============================] - 0s 997us/step - loss: 0.5497 Epoch 110/150 16/16 [==============================] - 0s 873us/step - loss: 0.5489 Epoch 111/150 16/16 [==============================] - 0s 873us/step - loss: 0.5495 Epoch 112/150 16/16 [==============================] - 0s 997us/step - loss: 0.5485 Epoch 113/150 16/16 [==============================] - 0s 997us/step - loss: 0.5481 Epoch 114/150 16/16 [==============================] - 0s 935us/step - loss: 0.5473 Epoch 115/150 16/16 [==============================] - 0s 935us/step - loss: 0.5470 Epoch 116/150 16/16 [==============================] - 0s 873us/step - loss: 0.5466 Epoch 117/150 16/16 [==============================] - 0s 997us/step - loss: 0.5465 Epoch 118/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5452 Epoch 119/150 16/16 [==============================] - 0s 873us/step - loss: 0.5446 Epoch 120/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5448 Epoch 121/150 16/16 [==============================] - 0s 997us/step - loss: 0.5442 Epoch 122/150 16/16 [==============================] - 0s 935us/step - loss: 0.5451 Epoch 123/150 16/16 [==============================] - 0s 935us/step - loss: 0.5430 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5431 Epoch 125/150 16/16 [==============================] - 0s 935us/step - loss: 0.5429 Epoch 126/150 16/16 [==============================] - 0s 935us/step - loss: 0.5424 Epoch 127/150 16/16 [==============================] - 0s 998us/step - loss: 0.5415 Epoch 128/150 16/16 [==============================] - 0s 873us/step - loss: 0.5416 Epoch 129/150 16/16 [==============================] - 0s 997us/step - loss: 0.5402 Epoch 130/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5405 Epoch 131/150 16/16 [==============================] - 0s 873us/step - loss: 0.5395 Epoch 132/150 16/16 [==============================] - 0s 997us/step - loss: 0.5388 Epoch 133/150 16/16 [==============================] - 0s 935us/step - loss: 0.5386 Epoch 134/150 16/16 [==============================] - 0s 935us/step - loss: 0.5385 Epoch 135/150 16/16 [==============================] - 0s 997us/step - loss: 0.5375 Epoch 136/150 16/16 [==============================] - 0s 997us/step - loss: 0.5369 Epoch 137/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5374 Epoch 138/150 16/16 [==============================] - 0s 935us/step - loss: 0.5371 Epoch 139/150 16/16 [==============================] - 0s 873us/step - loss: 0.5358 Epoch 140/150 16/16 [==============================] - 0s 935us/step - loss: 0.5361 Epoch 141/150 16/16 [==============================] - 0s 935us/step - loss: 0.5370 Epoch 142/150 16/16 [==============================] - 0s 997us/step - loss: 0.5350 Epoch 143/150 16/16 [==============================] - 0s 935us/step - loss: 0.5350 Epoch 144/150 16/16 [==============================] - 0s 873us/step - loss: 0.5349 Epoch 145/150 16/16 [==============================] - 0s 997us/step - loss: 0.5335 Epoch 146/150 16/16 [==============================] - 0s 873us/step - loss: 0.5339 Epoch 147/150 16/16 [==============================] - 0s 997us/step - loss: 0.5373 Epoch 148/150 16/16 [==============================] - 0s 873us/step - loss: 0.5338 Epoch 149/150 16/16 [==============================] - 0s 935us/step - loss: 0.5329 Epoch 150/150 16/16 [==============================] - 0s 997us/step - loss: 0.5329 ###################################################################### Accuracy: 85.69797684953954 Epoch 1/150 16/16 [==============================] - 0s 1ms/step - loss: 1.0189 Epoch 2/150 16/16 [==============================] - 0s 1ms/step - loss: 1.0178 Epoch 3/150 16/16 [==============================] - 0s 873us/step - loss: 1.0138 Epoch 4/150 16/16 [==============================] - 0s 997us/step - loss: 1.0042 Epoch 5/150 16/16 [==============================] - 0s 997us/step - loss: 0.9842 Epoch 6/150 16/16 [==============================] - 0s 873us/step - loss: 0.9482 Epoch 7/150 16/16 [==============================] - 0s 935us/step - loss: 0.8935 Epoch 8/150 16/16 [==============================] - 0s 997us/step - loss: 0.8261 Epoch 9/150 16/16 [==============================] - 0s 935us/step - loss: 0.7573 Epoch 10/150 16/16 [==============================] - 0s 997us/step - loss: 0.7002 Epoch 11/150 16/16 [==============================] - 0s 935us/step - loss: 0.6701 Epoch 12/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6542 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.6475 Epoch 14/150 16/16 [==============================] - 0s 997us/step - loss: 0.6436 Epoch 15/150 16/16 [==============================] - 0s 935us/step - loss: 0.6403 Epoch 16/150 16/16 [==============================] - 0s 873us/step - loss: 0.6377 Epoch 17/150 16/16 [==============================] - 0s 997us/step - loss: 0.6354 Epoch 18/150 16/16 [==============================] - 0s 997us/step - loss: 0.6329 Epoch 19/150 16/16 [==============================] - 0s 997us/step - loss: 0.6304 Epoch 20/150 16/16 [==============================] - 0s 997us/step - loss: 0.6283 Epoch 21/150 16/16 [==============================] - 0s 935us/step - loss: 0.6272 Epoch 22/150 16/16 [==============================] - 0s 997us/step - loss: 0.6260 Epoch 23/150 16/16 [==============================] - 0s 935us/step - loss: 0.6234 Epoch 24/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6218 Epoch 25/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6216 Epoch 26/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6196 Epoch 27/150 16/16 [==============================] - 0s 935us/step - loss: 0.6186 Epoch 28/150 16/16 [==============================] - 0s 935us/step - loss: 0.6169 Epoch 29/150 16/16 [==============================] - 0s 997us/step - loss: 0.6160 Epoch 30/150 16/16 [==============================] - 0s 998us/step - loss: 0.6141 Epoch 31/150 16/16 [==============================] - 0s 997us/step - loss: 0.6136 Epoch 32/150 16/16 [==============================] - 0s 997us/step - loss: 0.6125 Epoch 33/150 16/16 [==============================] - 0s 997us/step - loss: 0.6114 Epoch 34/150 16/16 [==============================] - 0s 873us/step - loss: 0.6106 Epoch 35/150 16/16 [==============================] - 0s 936us/step - loss: 0.6093 Epoch 36/150 16/16 [==============================] - 0s 997us/step - loss: 0.6091 Epoch 37/150 16/16 [==============================] - 0s 873us/step - loss: 0.6088 Epoch 38/150 16/16 [==============================] - 0s 997us/step - loss: 0.6069 Epoch 39/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6067 Epoch 40/150 16/16 [==============================] - 0s 935us/step - loss: 0.6086 Epoch 41/150 16/16 [==============================] - 0s 935us/step - loss: 0.6052 Epoch 42/150 16/16 [==============================] - 0s 935us/step - loss: 0.6048 Epoch 43/150 16/16 [==============================] - 0s 935us/step - loss: 0.6040 Epoch 44/150 16/16 [==============================] - 0s 873us/step - loss: 0.6056 Epoch 45/150 16/16 [==============================] - 0s 873us/step - loss: 0.6030 Epoch 46/150 16/16 [==============================] - 0s 997us/step - loss: 0.6021 Epoch 47/150 16/16 [==============================] - 0s 873us/step - loss: 0.6022 Epoch 48/150 16/16 [==============================] - 0s 935us/step - loss: 0.6017 Epoch 49/150 16/16 [==============================] - 0s 935us/step - loss: 0.6007 Epoch 50/150 16/16 [==============================] - 0s 997us/step - loss: 0.6016 Epoch 51/150 16/16 [==============================] - 0s 997us/step - loss: 0.6017 Epoch 52/150 16/16 [==============================] - 0s 873us/step - loss: 0.5994 Epoch 53/150 16/16 [==============================] - 0s 997us/step - loss: 0.5996 Epoch 54/150 16/16 [==============================] - 0s 935us/step - loss: 0.5987 Epoch 55/150 16/16 [==============================] - 0s 997us/step - loss: 0.5986 Epoch 56/150 16/16 [==============================] - 0s 935us/step - loss: 0.5984 Epoch 57/150 16/16 [==============================] - 0s 935us/step - loss: 0.5973 Epoch 58/150 16/16 [==============================] - 0s 935us/step - loss: 0.5972 Epoch 59/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5975 Epoch 60/150 16/16 [==============================] - 0s 935us/step - loss: 0.5967 Epoch 61/150 16/16 [==============================] - 0s 873us/step - loss: 0.5965 Epoch 62/150 16/16 [==============================] - 0s 935us/step - loss: 0.5960 Epoch 63/150 16/16 [==============================] - 0s 935us/step - loss: 0.5960 Epoch 64/150 16/16 [==============================] - 0s 873us/step - loss: 0.5952 Epoch 65/150 16/16 [==============================] - 0s 997us/step - loss: 0.5955 Epoch 66/150 16/16 [==============================] - 0s 873us/step - loss: 0.5949 Epoch 67/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5943 Epoch 68/150 16/16 [==============================] - 0s 873us/step - loss: 0.5946 Epoch 69/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5959 Epoch 70/150 16/16 [==============================] - 0s 935us/step - loss: 0.5929 Epoch 71/150 16/16 [==============================] - 0s 997us/step - loss: 0.5940 Epoch 72/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5934 Epoch 73/150 16/16 [==============================] - 0s 997us/step - loss: 0.5931 Epoch 74/150 16/16 [==============================] - 0s 935us/step - loss: 0.5933 Epoch 75/150 16/16 [==============================] - 0s 998us/step - loss: 0.5949 Epoch 76/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5920 Epoch 77/150 16/16 [==============================] - 0s 997us/step - loss: 0.5920 Epoch 78/150 16/16 [==============================] - 0s 935us/step - loss: 0.5918 Epoch 79/150 16/16 [==============================] - 0s 997us/step - loss: 0.5915 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5910 Epoch 81/150 16/16 [==============================] - 0s 997us/step - loss: 0.5917 Epoch 82/150 16/16 [==============================] - 0s 935us/step - loss: 0.5889 Epoch 83/150 16/16 [==============================] - 0s 935us/step - loss: 0.5903 Epoch 84/150 16/16 [==============================] - 0s 997us/step - loss: 0.5898 Epoch 85/150 16/16 [==============================] - 0s 935us/step - loss: 0.5896 Epoch 86/150 16/16 [==============================] - 0s 997us/step - loss: 0.5897 Epoch 87/150 16/16 [==============================] - 0s 998us/step - loss: 0.5882 Epoch 88/150 16/16 [==============================] - 0s 997us/step - loss: 0.5876 Epoch 89/150 16/16 [==============================] - 0s 997us/step - loss: 0.5871 Epoch 90/150 16/16 [==============================] - 0s 997us/step - loss: 0.5879 Epoch 91/150 16/16 [==============================] - 0s 997us/step - loss: 0.5884 Epoch 92/150 16/16 [==============================] - 0s 935us/step - loss: 0.5870 Epoch 93/150 16/16 [==============================] - 0s 997us/step - loss: 0.5860 Epoch 94/150 16/16 [==============================] - 0s 997us/step - loss: 0.5864 Epoch 95/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5854 Epoch 96/150 16/16 [==============================] - 0s 935us/step - loss: 0.5858 Epoch 97/150 16/16 [==============================] - 0s 997us/step - loss: 0.5849 Epoch 98/150 16/16 [==============================] - 0s 748us/step - loss: 0.5848 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5855 Epoch 100/150 16/16 [==============================] - 0s 997us/step - loss: 0.5841 Epoch 101/150 16/16 [==============================] - 0s 873us/step - loss: 0.5836 Epoch 102/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5837 Epoch 103/150 16/16 [==============================] - 0s 873us/step - loss: 0.5829 Epoch 104/150 16/16 [==============================] - 0s 872us/step - loss: 0.5838 Epoch 105/150 16/16 [==============================] - 0s 996us/step - loss: 0.5827 Epoch 106/150 16/16 [==============================] - 0s 935us/step - loss: 0.5824 Epoch 107/150 16/16 [==============================] - 0s 935us/step - loss: 0.5819 Epoch 108/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5817 Epoch 109/150 16/16 [==============================] - 0s 935us/step - loss: 0.5809 Epoch 110/150 16/16 [==============================] - 0s 935us/step - loss: 0.5807 Epoch 111/150 16/16 [==============================] - 0s 935us/step - loss: 0.5807 Epoch 112/150 16/16 [==============================] - 0s 935us/step - loss: 0.5806 Epoch 113/150 16/16 [==============================] - 0s 935us/step - loss: 0.5802 Epoch 114/150 16/16 [==============================] - 0s 935us/step - loss: 0.5806 Epoch 115/150 16/16 [==============================] - 0s 935us/step - loss: 0.5801 Epoch 116/150 16/16 [==============================] - 0s 935us/step - loss: 0.5786 Epoch 117/150 16/16 [==============================] - 0s 935us/step - loss: 0.5788 Epoch 118/150 16/16 [==============================] - 0s 997us/step - loss: 0.5812 Epoch 119/150 16/16 [==============================] - 0s 873us/step - loss: 0.5781 Epoch 120/150 16/16 [==============================] - 0s 935us/step - loss: 0.5772 Epoch 121/150 16/16 [==============================] - 0s 997us/step - loss: 0.5774 Epoch 122/150 16/16 [==============================] - 0s 935us/step - loss: 0.5776 Epoch 123/150 16/16 [==============================] - 0s 935us/step - loss: 0.5774 Epoch 124/150 16/16 [==============================] - 0s 935us/step - loss: 0.5769 Epoch 125/150 16/16 [==============================] - 0s 873us/step - loss: 0.5766 Epoch 126/150 16/16 [==============================] - 0s 935us/step - loss: 0.5761 Epoch 127/150 16/16 [==============================] - 0s 997us/step - loss: 0.5758 Epoch 128/150 16/16 [==============================] - 0s 935us/step - loss: 0.5752 Epoch 129/150 16/16 [==============================] - 0s 935us/step - loss: 0.5753 Epoch 130/150 16/16 [==============================] - 0s 935us/step - loss: 0.5747 Epoch 131/150 16/16 [==============================] - 0s 997us/step - loss: 0.5751 Epoch 132/150 16/16 [==============================] - 0s 935us/step - loss: 0.5755 Epoch 133/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5766 Epoch 134/150 16/16 [==============================] - 0s 873us/step - loss: 0.5744 Epoch 135/150 16/16 [==============================] - 0s 873us/step - loss: 0.5732 Epoch 136/150 16/16 [==============================] - 0s 873us/step - loss: 0.5744 Epoch 137/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5730 Epoch 138/150 16/16 [==============================] - 0s 935us/step - loss: 0.5724 Epoch 139/150 16/16 [==============================] - 0s 873us/step - loss: 0.5731 Epoch 140/150 16/16 [==============================] - 0s 997us/step - loss: 0.5716 Epoch 141/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5716 Epoch 142/150 16/16 [==============================] - 0s 935us/step - loss: 0.5708 Epoch 143/150 16/16 [==============================] - 0s 997us/step - loss: 0.5701 Epoch 144/150 16/16 [==============================] - 0s 997us/step - loss: 0.5704 Epoch 145/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5702 Epoch 146/150 16/16 [==============================] - 0s 997us/step - loss: 0.5699 Epoch 147/150 16/16 [==============================] - 0s 997us/step - loss: 0.5698 Epoch 148/150 16/16 [==============================] - 0s 935us/step - loss: 0.5688 Epoch 149/150 16/16 [==============================] - 0s 935us/step - loss: 0.5677 Epoch 150/150 16/16 [==============================] - 0s 935us/step - loss: 0.5670 ###################################################################### Accuracy: 76.33771403102408 Epoch 1/150 16/16 [==============================] - 0s 2ms/step - loss: 1.0018 Epoch 2/150 16/16 [==============================] - 0s 997us/step - loss: 0.9985 Epoch 3/150 16/16 [==============================] - 0s 935us/step - loss: 0.9938 Epoch 4/150 16/16 [==============================] - 0s 997us/step - loss: 0.9835 Epoch 5/150 16/16 [==============================] - 0s 1ms/step - loss: 0.9668 Epoch 6/150 16/16 [==============================] - 0s 997us/step - loss: 0.9395 Epoch 7/150 16/16 [==============================] - 0s 935us/step - loss: 0.9024 Epoch 8/150 16/16 [==============================] - 0s 997us/step - loss: 0.8619 Epoch 9/150 16/16 [==============================] - 0s 935us/step - loss: 0.8202 Epoch 10/150 16/16 [==============================] - 0s 873us/step - loss: 0.7892 Epoch 11/150 16/16 [==============================] - 0s 873us/step - loss: 0.7669 Epoch 12/150 16/16 [==============================] - 0s 997us/step - loss: 0.7491 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.7368 Epoch 14/150 16/16 [==============================] - 0s 935us/step - loss: 0.7252 Epoch 15/150 16/16 [==============================] - 0s 1ms/step - loss: 0.7166 Epoch 16/150 16/16 [==============================] - 0s 997us/step - loss: 0.7077 Epoch 17/150 16/16 [==============================] - 0s 997us/step - loss: 0.7004 Epoch 18/150 16/16 [==============================] - 0s 935us/step - loss: 0.6931 Epoch 19/150 16/16 [==============================] - 0s 997us/step - loss: 0.6872 Epoch 20/150 16/16 [==============================] - 0s 935us/step - loss: 0.6808 Epoch 21/150 16/16 [==============================] - 0s 935us/step - loss: 0.6758 Epoch 22/150 16/16 [==============================] - 0s 935us/step - loss: 0.6711 Epoch 23/150 16/16 [==============================] - 0s 997us/step - loss: 0.6683 Epoch 24/150 16/16 [==============================] - 0s 935us/step - loss: 0.6625 Epoch 25/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6620 Epoch 26/150 16/16 [==============================] - 0s 873us/step - loss: 0.6578 Epoch 27/150 16/16 [==============================] - 0s 997us/step - loss: 0.6523 Epoch 28/150 16/16 [==============================] - 0s 997us/step - loss: 0.6506 Epoch 29/150 16/16 [==============================] - 0s 997us/step - loss: 0.6486 Epoch 30/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6457 Epoch 31/150 16/16 [==============================] - 0s 997us/step - loss: 0.6428 Epoch 32/150 16/16 [==============================] - 0s 997us/step - loss: 0.6408 Epoch 33/150 16/16 [==============================] - 0s 935us/step - loss: 0.6381 Epoch 34/150 16/16 [==============================] - 0s 997us/step - loss: 0.6364 Epoch 35/150 16/16 [==============================] - 0s 935us/step - loss: 0.6341 Epoch 36/150 16/16 [==============================] - 0s 873us/step - loss: 0.6329 Epoch 37/150 16/16 [==============================] - 0s 935us/step - loss: 0.6309 Epoch 38/150 16/16 [==============================] - 0s 873us/step - loss: 0.6291 Epoch 39/150 16/16 [==============================] - 0s 935us/step - loss: 0.6271 Epoch 40/150 16/16 [==============================] - 0s 935us/step - loss: 0.6258 Epoch 41/150 16/16 [==============================] - 0s 935us/step - loss: 0.6249 Epoch 42/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6237 Epoch 43/150 16/16 [==============================] - 0s 810us/step - loss: 0.6211 Epoch 44/150 16/16 [==============================] - 0s 997us/step - loss: 0.6201 Epoch 45/150 16/16 [==============================] - 0s 935us/step - loss: 0.6184 Epoch 46/150 16/16 [==============================] - 0s 997us/step - loss: 0.6192 Epoch 47/150 16/16 [==============================] - 0s 997us/step - loss: 0.6165 Epoch 48/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6145 Epoch 49/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6142 Epoch 50/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6122 Epoch 51/150 16/16 [==============================] - 0s 997us/step - loss: 0.6111 Epoch 52/150 16/16 [==============================] - 0s 997us/step - loss: 0.6108 Epoch 53/150 16/16 [==============================] - 0s 935us/step - loss: 0.6085 Epoch 54/150 16/16 [==============================] - 0s 935us/step - loss: 0.6080 Epoch 55/150 16/16 [==============================] - 0s 935us/step - loss: 0.6067 Epoch 56/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6059 Epoch 57/150 16/16 [==============================] - 0s 935us/step - loss: 0.6058 Epoch 58/150 16/16 [==============================] - 0s 997us/step - loss: 0.6046 Epoch 59/150 16/16 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 60/150 16/16 [==============================] - 0s 997us/step - loss: 0.6032 Epoch 61/150 16/16 [==============================] - 0s 873us/step - loss: 0.6017 Epoch 62/150 16/16 [==============================] - 0s 935us/step - loss: 0.6008 Epoch 63/150 16/16 [==============================] - 0s 1ms/step - loss: 0.6013 Epoch 64/150 16/16 [==============================] - 0s 997us/step - loss: 0.5990 Epoch 65/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5985 Epoch 66/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5980 Epoch 67/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5966 Epoch 68/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5963 Epoch 69/150 16/16 [==============================] - 0s 873us/step - loss: 0.5970 Epoch 70/150 16/16 [==============================] - 0s 873us/step - loss: 0.5952 Epoch 71/150 16/16 [==============================] - 0s 997us/step - loss: 0.5942 Epoch 72/150 16/16 [==============================] - 0s 997us/step - loss: 0.5933 Epoch 73/150 16/16 [==============================] - 0s 873us/step - loss: 0.5932 Epoch 74/150 16/16 [==============================] - 0s 873us/step - loss: 0.5925 Epoch 75/150 16/16 [==============================] - 0s 997us/step - loss: 0.5913 Epoch 76/150 16/16 [==============================] - 0s 935us/step - loss: 0.5909 Epoch 77/150 16/16 [==============================] - 0s 997us/step - loss: 0.5907 Epoch 78/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5899 Epoch 79/150 16/16 [==============================] - 0s 935us/step - loss: 0.5892 Epoch 80/150 16/16 [==============================] - 0s 997us/step - loss: 0.5896 Epoch 81/150 16/16 [==============================] - 0s 997us/step - loss: 0.5894 Epoch 82/150 16/16 [==============================] - 0s 997us/step - loss: 0.5880 Epoch 83/150 16/16 [==============================] - 0s 997us/step - loss: 0.5874 Epoch 84/150 16/16 [==============================] - 0s 997us/step - loss: 0.5874 Epoch 85/150 16/16 [==============================] - 0s 810us/step - loss: 0.5862 Epoch 86/150 16/16 [==============================] - 0s 873us/step - loss: 0.5870 Epoch 87/150 16/16 [==============================] - 0s 935us/step - loss: 0.5858 Epoch 88/150 16/16 [==============================] - 0s 935us/step - loss: 0.5867 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5847 Epoch 90/150 16/16 [==============================] - 0s 935us/step - loss: 0.5840 Epoch 91/150 16/16 [==============================] - 0s 997us/step - loss: 0.5846 Epoch 92/150 16/16 [==============================] - 0s 997us/step - loss: 0.5832 Epoch 93/150 16/16 [==============================] - 0s 873us/step - loss: 0.5831 Epoch 94/150 16/16 [==============================] - 0s 873us/step - loss: 0.5828 Epoch 95/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5825 Epoch 96/150 16/16 [==============================] - 0s 997us/step - loss: 0.5821 Epoch 97/150 16/16 [==============================] - 0s 935us/step - loss: 0.5820 Epoch 98/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5811 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5807 Epoch 100/150 16/16 [==============================] - 0s 873us/step - loss: 0.5809 Epoch 101/150 16/16 [==============================] - 0s 997us/step - loss: 0.5797 Epoch 102/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5804 Epoch 103/150 16/16 [==============================] - 0s 997us/step - loss: 0.5795 Epoch 104/150 16/16 [==============================] - 0s 935us/step - loss: 0.5791 Epoch 105/150 16/16 [==============================] - 0s 935us/step - loss: 0.5788 Epoch 106/150 16/16 [==============================] - 0s 935us/step - loss: 0.5790 Epoch 107/150 16/16 [==============================] - 0s 935us/step - loss: 0.5777 Epoch 108/150 16/16 [==============================] - 0s 873us/step - loss: 0.5772 Epoch 109/150 16/16 [==============================] - 0s 935us/step - loss: 0.5776 Epoch 110/150 16/16 [==============================] - 0s 873us/step - loss: 0.5762 Epoch 111/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5765 Epoch 112/150 16/16 [==============================] - 0s 935us/step - loss: 0.5761 Epoch 113/150 16/16 [==============================] - 0s 997us/step - loss: 0.5754 Epoch 114/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5757 Epoch 115/150 16/16 [==============================] - 0s 997us/step - loss: 0.5752 Epoch 116/150 16/16 [==============================] - 0s 997us/step - loss: 0.5747 Epoch 117/150 16/16 [==============================] - 0s 997us/step - loss: 0.5743 Epoch 118/150 16/16 [==============================] - 0s 997us/step - loss: 0.5738 Epoch 119/150 16/16 [==============================] - 0s 935us/step - loss: 0.5740 Epoch 120/150 16/16 [==============================] - 0s 873us/step - loss: 0.5730 Epoch 121/150 16/16 [==============================] - 0s 935us/step - loss: 0.5736 Epoch 122/150 16/16 [==============================] - 0s 935us/step - loss: 0.5724 Epoch 123/150 16/16 [==============================] - 0s 873us/step - loss: 0.5724 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5716 Epoch 125/150 16/16 [==============================] - 0s 748us/step - loss: 0.5709 Epoch 126/150 16/16 [==============================] - 0s 935us/step - loss: 0.5704 Epoch 127/150 16/16 [==============================] - 0s 997us/step - loss: 0.5703 Epoch 128/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5692 Epoch 129/150 16/16 [==============================] - 0s 873us/step - loss: 0.5692 Epoch 130/150 16/16 [==============================] - 0s 935us/step - loss: 0.5686 Epoch 131/150 16/16 [==============================] - 0s 873us/step - loss: 0.5682 Epoch 132/150 16/16 [==============================] - 0s 997us/step - loss: 0.5676 Epoch 133/150 16/16 [==============================] - 0s 935us/step - loss: 0.5667 Epoch 134/150 16/16 [==============================] - 0s 997us/step - loss: 0.5672 Epoch 135/150 16/16 [==============================] - 0s 873us/step - loss: 0.5673 Epoch 136/150 16/16 [==============================] - 0s 935us/step - loss: 0.5648 Epoch 137/150 16/16 [==============================] - 0s 873us/step - loss: 0.5642 Epoch 138/150 16/16 [==============================] - 0s 997us/step - loss: 0.5639 Epoch 139/150 16/16 [==============================] - 0s 935us/step - loss: 0.5635 Epoch 140/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5635 Epoch 141/150 16/16 [==============================] - 0s 997us/step - loss: 0.5632 Epoch 142/150 16/16 [==============================] - 0s 997us/step - loss: 0.5617 Epoch 143/150 16/16 [==============================] - 0s 997us/step - loss: 0.5616 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5621 Epoch 145/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5598 Epoch 146/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5601 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5606 Epoch 148/150 16/16 [==============================] - 0s 997us/step - loss: 0.5594 Epoch 149/150 16/16 [==============================] - 0s 935us/step - loss: 0.5584 Epoch 150/150 16/16 [==============================] - 0s 997us/step - loss: 0.5586 ###################################################################### Accuracy: 72.4300514766623 Epoch 1/10 13/13 [==============================] - 0s 2ms/step - loss: 1.0185 Epoch 2/10 13/13 [==============================] - 0s 997us/step - loss: 1.0169 Epoch 3/10 13/13 [==============================] - 0s 921us/step - loss: 1.0134 Epoch 4/10 13/13 [==============================] - 0s 1ms/step - loss: 1.0060 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9907 Epoch 6/10 13/13 [==============================] - 0s 997us/step - loss: 0.9660 Epoch 7/10 13/13 [==============================] - 0s 921us/step - loss: 0.9274 Epoch 8/10 13/13 [==============================] - 0s 921us/step - loss: 0.8783 Epoch 9/10 13/13 [==============================] - 0s 997us/step - loss: 0.8199 Epoch 10/10 13/13 [==============================] - 0s 844us/step - loss: 0.7625 ###################################################################### Accuracy: 79.78159827850915 Epoch 1/10 13/13 [==============================] - 0s 2ms/step - loss: 0.9860 Epoch 2/10 13/13 [==============================] - 0s 997us/step - loss: 0.9841 Epoch 3/10 13/13 [==============================] - 0s 921us/step - loss: 0.9806 Epoch 4/10 13/13 [==============================] - 0s 997us/step - loss: 0.9739 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9608 Epoch 6/10 13/13 [==============================] - 0s 921us/step - loss: 0.9380 Epoch 7/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9076 Epoch 8/10 13/13 [==============================] - 0s 921us/step - loss: 0.8714 Epoch 9/10 13/13 [==============================] - 0s 997us/step - loss: 0.8351 Epoch 10/10 13/13 [==============================] - 0s 997us/step - loss: 0.8050 ###################################################################### Accuracy: 64.46730588816527 Epoch 1/10 13/13 [==============================] - 0s 2ms/step - loss: 0.9767 Epoch 2/10 13/13 [==============================] - 0s 921us/step - loss: 0.9754 Epoch 3/10 13/13 [==============================] - 0s 997us/step - loss: 0.9734 Epoch 4/10 13/13 [==============================] - 0s 997us/step - loss: 0.9701 Epoch 5/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9642 Epoch 6/10 13/13 [==============================] - 0s 997us/step - loss: 0.9539 Epoch 7/10 13/13 [==============================] - 0s 921us/step - loss: 0.9379 Epoch 8/10 13/13 [==============================] - 0s 997us/step - loss: 0.9140 Epoch 9/10 13/13 [==============================] - 0s 997us/step - loss: 0.8860 Epoch 10/10 13/13 [==============================] - 0s 997us/step - loss: 0.8574 ###################################################################### Accuracy: 81.60663320116993 Epoch 1/10 13/13 [==============================] - 0s 2ms/step - loss: 1.0189 Epoch 2/10 13/13 [==============================] - 0s 997us/step - loss: 1.0182 Epoch 3/10 13/13 [==============================] - 0s 1ms/step - loss: 1.0164 Epoch 4/10 13/13 [==============================] - 0s 921us/step - loss: 1.0110 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9990 Epoch 6/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9751 Epoch 7/10 13/13 [==============================] - 0s 997us/step - loss: 0.9377 Epoch 8/10 13/13 [==============================] - 0s 921us/step - loss: 0.8841 Epoch 9/10 13/13 [==============================] - 0s 997us/step - loss: 0.8215 Epoch 10/10 13/13 [==============================] - 0s 921us/step - loss: 0.7684 ###################################################################### Accuracy: 102.24596138995149 Epoch 1/10 13/13 [==============================] - 0s 2ms/step - loss: 1.0020 Epoch 2/10 13/13 [==============================] - 0s 997us/step - loss: 0.9999 Epoch 3/10 13/13 [==============================] - 0s 914us/step - loss: 0.9957 Epoch 4/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9872 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9719 Epoch 6/10 13/13 [==============================] - 0s 997us/step - loss: 0.9467 Epoch 7/10 13/13 [==============================] - 0s 997us/step - loss: 0.9073 Epoch 8/10 13/13 [==============================] - 0s 997us/step - loss: 0.8596 Epoch 9/10 13/13 [==============================] - 0s 1ms/step - loss: 0.8090 Epoch 10/10 13/13 [==============================] - 0s 997us/step - loss: 0.7640 ###################################################################### Accuracy: 103.76883016528481 Epoch 1/20 13/13 [==============================] - 0s 1ms/step - loss: 1.0177 Epoch 2/20 13/13 [==============================] - 0s 998us/step - loss: 1.0147 Epoch 3/20 13/13 [==============================] - 0s 920us/step - loss: 1.0096 Epoch 4/20 13/13 [==============================] - 0s 921us/step - loss: 0.9999 Epoch 5/20 13/13 [==============================] - 0s 921us/step - loss: 0.9841 Epoch 6/20 13/13 [==============================] - 0s 921us/step - loss: 0.9587 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.9219 Epoch 8/20 13/13 [==============================] - 0s 997us/step - loss: 0.8743 Epoch 9/20 13/13 [==============================] - 0s 997us/step - loss: 0.8210 Epoch 10/20 13/13 [==============================] - 0s 998us/step - loss: 0.7670 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.7216 Epoch 12/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6907 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6667 Epoch 14/20 13/13 [==============================] - 0s 997us/step - loss: 0.6554 Epoch 15/20 13/13 [==============================] - 0s 997us/step - loss: 0.6472 Epoch 16/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6430 Epoch 17/20 13/13 [==============================] - 0s 921us/step - loss: 0.6381 Epoch 18/20 13/13 [==============================] - 0s 844us/step - loss: 0.6355 Epoch 19/20 13/13 [==============================] - 0s 844us/step - loss: 0.6333 Epoch 20/20 13/13 [==============================] - 0s 997us/step - loss: 0.6309 ###################################################################### Accuracy: 69.20707804191281 Epoch 1/20 13/13 [==============================] - 0s 2ms/step - loss: 0.9865 Epoch 2/20 13/13 [==============================] - 0s 921us/step - loss: 0.9851 Epoch 3/20 13/13 [==============================] - 0s 986us/step - loss: 0.9829 Epoch 4/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9788 Epoch 5/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9695 Epoch 6/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9517 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.9239 Epoch 8/20 13/13 [==============================] - 0s 921us/step - loss: 0.8840 Epoch 9/20 13/13 [==============================] - 0s 921us/step - loss: 0.8325 Epoch 10/20 13/13 [==============================] - 0s 921us/step - loss: 0.7769 Epoch 11/20 13/13 [==============================] - 0s 997us/step - loss: 0.7258 Epoch 12/20 13/13 [==============================] - 0s 997us/step - loss: 0.6898 Epoch 13/20 13/13 [==============================] - 0s 921us/step - loss: 0.6631 Epoch 14/20 13/13 [==============================] - 0s 921us/step - loss: 0.6505 Epoch 15/20 13/13 [==============================] - 0s 921us/step - loss: 0.6440 Epoch 16/20 13/13 [==============================] - 0s 921us/step - loss: 0.6418 Epoch 17/20 13/13 [==============================] - 0s 997us/step - loss: 0.6377 Epoch 18/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6350 Epoch 19/20 13/13 [==============================] - 0s 997us/step - loss: 0.6334 Epoch 20/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6312 ###################################################################### Accuracy: 74.71929572289032 Epoch 1/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9763 Epoch 2/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9739 Epoch 3/20 13/13 [==============================] - 0s 921us/step - loss: 0.9697 Epoch 4/20 13/13 [==============================] - 0s 997us/step - loss: 0.9613 Epoch 5/20 13/13 [==============================] - 0s 997us/step - loss: 0.9462 Epoch 6/20 13/13 [==============================] - 0s 997us/step - loss: 0.9206 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.8833 Epoch 8/20 13/13 [==============================] - 0s 921us/step - loss: 0.8324 Epoch 9/20 13/13 [==============================] - 0s 921us/step - loss: 0.7795 Epoch 10/20 13/13 [==============================] - 0s 997us/step - loss: 0.7289 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.6890 Epoch 12/20 13/13 [==============================] - 0s 844us/step - loss: 0.6629 Epoch 13/20 13/13 [==============================] - 0s 920us/step - loss: 0.6469 Epoch 14/20 13/13 [==============================] - 0s 997us/step - loss: 0.6346 Epoch 15/20 13/13 [==============================] - 0s 997us/step - loss: 0.6275 Epoch 16/20 13/13 [==============================] - 0s 997us/step - loss: 0.6238 Epoch 17/20 13/13 [==============================] - 0s 920us/step - loss: 0.6203 Epoch 18/20 13/13 [==============================] - 0s 921us/step - loss: 0.6181 Epoch 19/20 13/13 [==============================] - 0s 997us/step - loss: 0.6159 Epoch 20/20 13/13 [==============================] - 0s 997us/step - loss: 0.6138 ###################################################################### Accuracy: 92.41427401894178 Epoch 1/20 13/13 [==============================] - 0s 2ms/step - loss: 1.0161 Epoch 2/20 13/13 [==============================] - 0s 997us/step - loss: 1.0115 Epoch 3/20 13/13 [==============================] - 0s 921us/step - loss: 1.0036 Epoch 4/20 13/13 [==============================] - 0s 997us/step - loss: 0.9904 Epoch 5/20 13/13 [==============================] - 0s 921us/step - loss: 0.9686 Epoch 6/20 13/13 [==============================] - 0s 997us/step - loss: 0.9400 Epoch 7/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9011 Epoch 8/20 13/13 [==============================] - 0s 997us/step - loss: 0.8547 Epoch 9/20 13/13 [==============================] - 0s 997us/step - loss: 0.8033 Epoch 10/20 13/13 [==============================] - 0s 997us/step - loss: 0.7542 Epoch 11/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7137 Epoch 12/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6843 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.6663 Epoch 14/20 13/13 [==============================] - 0s 997us/step - loss: 0.6568 Epoch 15/20 13/13 [==============================] - 0s 997us/step - loss: 0.6493 Epoch 16/20 13/13 [==============================] - 0s 921us/step - loss: 0.6442 Epoch 17/20 13/13 [==============================] - 0s 997us/step - loss: 0.6402 Epoch 18/20 13/13 [==============================] - 0s 997us/step - loss: 0.6373 Epoch 19/20 13/13 [==============================] - 0s 997us/step - loss: 0.6337 Epoch 20/20 13/13 [==============================] - 0s 921us/step - loss: 0.6303 ###################################################################### Accuracy: 72.21246416972181 Epoch 1/20 13/13 [==============================] - 0s 1ms/step - loss: 1.0018 Epoch 2/20 13/13 [==============================] - 0s 921us/step - loss: 0.9994 Epoch 3/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9947 Epoch 4/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9849 Epoch 5/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9683 Epoch 6/20 13/13 [==============================] - 0s 923us/step - loss: 0.9445 Epoch 7/20 13/13 [==============================] - 0s 997us/step - loss: 0.9153 Epoch 8/20 13/13 [==============================] - 0s 844us/step - loss: 0.8831 Epoch 9/20 13/13 [==============================] - 0s 997us/step - loss: 0.8561 Epoch 10/20 13/13 [==============================] - 0s 997us/step - loss: 0.8375 Epoch 11/20 13/13 [==============================] - 0s 997us/step - loss: 0.8225 Epoch 12/20 13/13 [==============================] - 0s 997us/step - loss: 0.8126 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.8016 Epoch 14/20 13/13 [==============================] - 0s 997us/step - loss: 0.7936 Epoch 15/20 13/13 [==============================] - 0s 921us/step - loss: 0.7840 Epoch 16/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7736 Epoch 17/20 13/13 [==============================] - 0s 844us/step - loss: 0.7617 Epoch 18/20 13/13 [==============================] - 0s 997us/step - loss: 0.7476 Epoch 19/20 13/13 [==============================] - 0s 997us/step - loss: 0.7320 Epoch 20/20 13/13 [==============================] - 0s 997us/step - loss: 0.7174 ###################################################################### Accuracy: 73.12006893014612 Epoch 1/50 13/13 [==============================] - 0s 2ms/step - loss: 1.0182 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 1.0162 Epoch 3/50 13/13 [==============================] - 0s 867us/step - loss: 1.0127 Epoch 4/50 13/13 [==============================] - 0s 997us/step - loss: 1.0051 Epoch 5/50 13/13 [==============================] - 0s 921us/step - loss: 0.9913 Epoch 6/50 13/13 [==============================] - 0s 844us/step - loss: 0.9673 Epoch 7/50 13/13 [==============================] - 0s 921us/step - loss: 0.9339 Epoch 8/50 13/13 [==============================] - 0s 844us/step - loss: 0.8903 Epoch 9/50 13/13 [==============================] - 0s 1ms/step - loss: 0.8414 Epoch 10/50 13/13 [==============================] - 0s 997us/step - loss: 0.7895 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.7442 Epoch 12/50 13/13 [==============================] - 0s 997us/step - loss: 0.7094 Epoch 13/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6782 Epoch 14/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6578 Epoch 15/50 13/13 [==============================] - 0s 997us/step - loss: 0.6443 Epoch 16/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6343 Epoch 17/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6281 Epoch 18/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6236 Epoch 19/50 13/13 [==============================] - 0s 997us/step - loss: 0.6198 Epoch 20/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6170 Epoch 21/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6146 Epoch 22/50 13/13 [==============================] - 0s 997us/step - loss: 0.6115 Epoch 23/50 13/13 [==============================] - 0s 997us/step - loss: 0.6086 Epoch 24/50 13/13 [==============================] - 0s 997us/step - loss: 0.6064 Epoch 25/50 13/13 [==============================] - 0s 921us/step - loss: 0.6039 Epoch 26/50 13/13 [==============================] - 0s 997us/step - loss: 0.6017 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.5993 Epoch 28/50 13/13 [==============================] - 0s 920us/step - loss: 0.5975 Epoch 29/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5945 Epoch 30/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5930 Epoch 31/50 13/13 [==============================] - 0s 997us/step - loss: 0.5906 Epoch 32/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5890 Epoch 33/50 13/13 [==============================] - 0s 921us/step - loss: 0.5871 Epoch 34/50 13/13 [==============================] - 0s 921us/step - loss: 0.5852 Epoch 35/50 13/13 [==============================] - 0s 921us/step - loss: 0.5840 Epoch 36/50 13/13 [==============================] - 0s 997us/step - loss: 0.5822 Epoch 37/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5813 Epoch 38/50 13/13 [==============================] - 0s 997us/step - loss: 0.5794 Epoch 39/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5784 Epoch 40/50 13/13 [==============================] - 0s 920us/step - loss: 0.5766 Epoch 41/50 13/13 [==============================] - 0s 921us/step - loss: 0.5757 Epoch 42/50 13/13 [==============================] - 0s 921us/step - loss: 0.5746 Epoch 43/50 13/13 [==============================] - 0s 997us/step - loss: 0.5731 Epoch 44/50 13/13 [==============================] - 0s 997us/step - loss: 0.5737 Epoch 45/50 13/13 [==============================] - 0s 997us/step - loss: 0.5717 Epoch 46/50 13/13 [==============================] - 0s 997us/step - loss: 0.5711 Epoch 47/50 13/13 [==============================] - 0s 921us/step - loss: 0.5695 Epoch 48/50 13/13 [==============================] - 0s 997us/step - loss: 0.5685 Epoch 49/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5676 Epoch 50/50 13/13 [==============================] - 0s 997us/step - loss: 0.5665 ###################################################################### Accuracy: 69.86734291292655 Epoch 1/50 13/13 [==============================] - 0s 1ms/step - loss: 0.9854 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 0.9828 Epoch 3/50 13/13 [==============================] - 0s 998us/step - loss: 0.9783 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9704 Epoch 5/50 13/13 [==============================] - 0s 1ms/step - loss: 0.9574 Epoch 6/50 13/13 [==============================] - 0s 921us/step - loss: 0.9365 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.9075 Epoch 8/50 13/13 [==============================] - 0s 844us/step - loss: 0.8663 Epoch 9/50 13/13 [==============================] - 0s 844us/step - loss: 0.8185 Epoch 10/50 13/13 [==============================] - 0s 920us/step - loss: 0.7705 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.7290 Epoch 12/50 13/13 [==============================] - 0s 920us/step - loss: 0.6986 Epoch 13/50 13/13 [==============================] - 0s 997us/step - loss: 0.6743 Epoch 14/50 13/13 [==============================] - 0s 921us/step - loss: 0.6577 Epoch 15/50 13/13 [==============================] - 0s 997us/step - loss: 0.6463 Epoch 16/50 13/13 [==============================] - 0s 997us/step - loss: 0.6400 Epoch 17/50 13/13 [==============================] - 0s 921us/step - loss: 0.6354 Epoch 18/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6317 Epoch 19/50 13/13 [==============================] - 0s 997us/step - loss: 0.6290 Epoch 20/50 13/13 [==============================] - 0s 844us/step - loss: 0.6256 Epoch 21/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6229 Epoch 22/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6199 Epoch 23/50 13/13 [==============================] - ETA: 0s - loss: 0.555 - 0s 1ms/step - loss: 0.6179 Epoch 24/50 13/13 [==============================] - 0s 997us/step - loss: 0.6146 Epoch 25/50 13/13 [==============================] - 0s 921us/step - loss: 0.6124 Epoch 26/50 13/13 [==============================] - 0s 997us/step - loss: 0.6098 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.6077 Epoch 28/50 13/13 [==============================] - 0s 921us/step - loss: 0.6056 Epoch 29/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6037 Epoch 30/50 13/13 [==============================] - 0s 997us/step - loss: 0.6006 Epoch 31/50 13/13 [==============================] - 0s 921us/step - loss: 0.5987 Epoch 32/50 13/13 [==============================] - 0s 921us/step - loss: 0.5968 Epoch 33/50 13/13 [==============================] - 0s 997us/step - loss: 0.5951 Epoch 34/50 13/13 [==============================] - 0s 997us/step - loss: 0.5934 Epoch 35/50 13/13 [==============================] - 0s 997us/step - loss: 0.5915 Epoch 36/50 13/13 [==============================] - 0s 997us/step - loss: 0.5897 Epoch 37/50 13/13 [==============================] - 0s 997us/step - loss: 0.5890 Epoch 38/50 13/13 [==============================] - 0s 997us/step - loss: 0.5877 Epoch 39/50 13/13 [==============================] - 0s 997us/step - loss: 0.5880 Epoch 40/50 13/13 [==============================] - 0s 921us/step - loss: 0.5849 Epoch 41/50 13/13 [==============================] - 0s 997us/step - loss: 0.5836 Epoch 42/50 13/13 [==============================] - 0s 997us/step - loss: 0.5826 Epoch 43/50 13/13 [==============================] - 0s 998us/step - loss: 0.5816 Epoch 44/50 13/13 [==============================] - 0s 997us/step - loss: 0.5815 Epoch 45/50 13/13 [==============================] - 0s 921us/step - loss: 0.5800 Epoch 46/50 13/13 [==============================] - 0s 921us/step - loss: 0.5785 Epoch 47/50 13/13 [==============================] - 0s 997us/step - loss: 0.5778 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.5775 Epoch 49/50 13/13 [==============================] - 0s 921us/step - loss: 0.5762 Epoch 50/50 13/13 [==============================] - 0s 920us/step - loss: 0.5762 ###################################################################### Accuracy: 71.91260617207294 Epoch 1/50 13/13 [==============================] - 0s 2ms/step - loss: 0.9760 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 0.9739 Epoch 3/50 13/13 [==============================] - 0s 921us/step - loss: 0.9695 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9604 Epoch 5/50 13/13 [==============================] - 0s 997us/step - loss: 0.9447 Epoch 6/50 13/13 [==============================] - 0s 844us/step - loss: 0.9179 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.8817 Epoch 8/50 13/13 [==============================] - 0s 997us/step - loss: 0.8326 Epoch 9/50 13/13 [==============================] - 0s 921us/step - loss: 0.7797 Epoch 10/50 13/13 [==============================] - 0s 921us/step - loss: 0.7269 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.6867 Epoch 12/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6560 Epoch 13/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6390 Epoch 14/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6283 Epoch 15/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6226 Epoch 16/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6184 Epoch 17/50 13/13 [==============================] - 0s 997us/step - loss: 0.6143 Epoch 18/50 13/13 [==============================] - 0s 997us/step - loss: 0.6117 Epoch 19/50 13/13 [==============================] - 0s 997us/step - loss: 0.6095 Epoch 20/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6054 Epoch 21/50 13/13 [==============================] - 0s 997us/step - loss: 0.6026 Epoch 22/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5999 Epoch 23/50 13/13 [==============================] - 0s 997us/step - loss: 0.5980 Epoch 24/50 13/13 [==============================] - 0s 997us/step - loss: 0.5958 Epoch 25/50 13/13 [==============================] - 0s 997us/step - loss: 0.5938 Epoch 26/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5918 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.5901 Epoch 28/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5884 Epoch 29/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5873 Epoch 30/50 13/13 [==============================] - 0s 921us/step - loss: 0.5852 Epoch 31/50 13/13 [==============================] - 0s 921us/step - loss: 0.5834 Epoch 32/50 13/13 [==============================] - 0s 921us/step - loss: 0.5820 Epoch 33/50 13/13 [==============================] - 0s 920us/step - loss: 0.5815 Epoch 34/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5798 Epoch 35/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5800 Epoch 36/50 13/13 [==============================] - 0s 921us/step - loss: 0.5776 Epoch 37/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5765 Epoch 38/50 13/13 [==============================] - 0s 997us/step - loss: 0.5757 Epoch 39/50 13/13 [==============================] - 0s 920us/step - loss: 0.5749 Epoch 40/50 13/13 [==============================] - 0s 921us/step - loss: 0.5735 Epoch 41/50 13/13 [==============================] - 0s 997us/step - loss: 0.5730 Epoch 42/50 13/13 [==============================] - 0s 997us/step - loss: 0.5722 Epoch 43/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5711 Epoch 44/50 13/13 [==============================] - 0s 921us/step - loss: 0.5705 Epoch 45/50 13/13 [==============================] - 0s 997us/step - loss: 0.5693 Epoch 46/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5688 Epoch 47/50 13/13 [==============================] - 0s 997us/step - loss: 0.5678 Epoch 48/50 13/13 [==============================] - 0s 997us/step - loss: 0.5672 Epoch 49/50 13/13 [==============================] - 0s 921us/step - loss: 0.5669 Epoch 50/50 13/13 [==============================] - 0s 997us/step - loss: 0.5654 ###################################################################### Accuracy: 88.20697274019935 Epoch 1/50 13/13 [==============================] - 0s 959us/step - loss: 1.0186 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 1.0175 Epoch 3/50 13/13 [==============================] - 0s 979us/step - loss: 1.0149 Epoch 4/50 13/13 [==============================] - 0s 1ms/step - loss: 1.0089 Epoch 5/50 13/13 [==============================] - 0s 997us/step - loss: 0.9969 Epoch 6/50 13/13 [==============================] - 0s 1ms/step - loss: 0.9772 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.9483 Epoch 8/50 13/13 [==============================] - 0s 997us/step - loss: 0.9094 Epoch 9/50 13/13 [==============================] - 0s 844us/step - loss: 0.8686 Epoch 10/50 13/13 [==============================] - 0s 997us/step - loss: 0.8243 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.7875 Epoch 12/50 13/13 [==============================] - 0s 921us/step - loss: 0.7571 Epoch 13/50 13/13 [==============================] - 0s 921us/step - loss: 0.7277 Epoch 14/50 13/13 [==============================] - 0s 921us/step - loss: 0.7059 Epoch 15/50 13/13 [==============================] - 0s 997us/step - loss: 0.6864 Epoch 16/50 13/13 [==============================] - 0s 920us/step - loss: 0.6709 Epoch 17/50 13/13 [==============================] - 0s 997us/step - loss: 0.6614 Epoch 18/50 13/13 [==============================] - 0s 997us/step - loss: 0.6534 Epoch 19/50 13/13 [==============================] - 0s 921us/step - loss: 0.6479 Epoch 20/50 13/13 [==============================] - 0s 997us/step - loss: 0.6446 Epoch 21/50 13/13 [==============================] - 0s 844us/step - loss: 0.6407 Epoch 22/50 13/13 [==============================] - 0s 921us/step - loss: 0.6385 Epoch 23/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6361 Epoch 24/50 13/13 [==============================] - 0s 997us/step - loss: 0.6344 Epoch 25/50 13/13 [==============================] - 0s 921us/step - loss: 0.6322 Epoch 26/50 13/13 [==============================] - 0s 997us/step - loss: 0.6312 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.6292 Epoch 28/50 13/13 [==============================] - 0s 921us/step - loss: 0.6283 Epoch 29/50 13/13 [==============================] - 0s 921us/step - loss: 0.6270 Epoch 30/50 13/13 [==============================] - 0s 997us/step - loss: 0.6258 Epoch 31/50 13/13 [==============================] - 0s 997us/step - loss: 0.6232 Epoch 32/50 13/13 [==============================] - 0s 844us/step - loss: 0.6219 Epoch 33/50 13/13 [==============================] - 0s 997us/step - loss: 0.6207 Epoch 34/50 13/13 [==============================] - 0s 921us/step - loss: 0.6192 Epoch 35/50 13/13 [==============================] - 0s 921us/step - loss: 0.6182 Epoch 36/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6162 Epoch 37/50 13/13 [==============================] - 0s 920us/step - loss: 0.6150 Epoch 38/50 13/13 [==============================] - 0s 921us/step - loss: 0.6140 Epoch 39/50 13/13 [==============================] - 0s 997us/step - loss: 0.6127 Epoch 40/50 13/13 [==============================] - 0s 844us/step - loss: 0.6116 Epoch 41/50 13/13 [==============================] - 0s 997us/step - loss: 0.6100 Epoch 42/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6103 Epoch 43/50 13/13 [==============================] - 0s 997us/step - loss: 0.6079 Epoch 44/50 13/13 [==============================] - 0s 921us/step - loss: 0.6073 Epoch 45/50 13/13 [==============================] - 0s 997us/step - loss: 0.6057 Epoch 46/50 13/13 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 47/50 13/13 [==============================] - 0s 997us/step - loss: 0.6041 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.6025 Epoch 49/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6023 Epoch 50/50 13/13 [==============================] - 0s 921us/step - loss: 0.6007 ###################################################################### Accuracy: 73.37948659228782 Epoch 1/50 13/13 [==============================] - 0s 2ms/step - loss: 1.0018 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 0.9996 Epoch 3/50 13/13 [==============================] - 0s 997us/step - loss: 0.9953 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9870 Epoch 5/50 13/13 [==============================] - 0s 997us/step - loss: 0.9732 Epoch 6/50 13/13 [==============================] - 0s 844us/step - loss: 0.9489 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.9184 Epoch 8/50 13/13 [==============================] - 0s 997us/step - loss: 0.8817 Epoch 9/50 13/13 [==============================] - 0s 997us/step - loss: 0.8462 Epoch 10/50 13/13 [==============================] - 0s 844us/step - loss: 0.8137 Epoch 11/50 13/13 [==============================] - 0s 921us/step - loss: 0.7841 Epoch 12/50 13/13 [==============================] - 0s 1ms/step - loss: 0.7588 Epoch 13/50 13/13 [==============================] - 0s 921us/step - loss: 0.7342 Epoch 14/50 13/13 [==============================] - 0s 1ms/step - loss: 0.7098 Epoch 15/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6902 Epoch 16/50 13/13 [==============================] - 0s 921us/step - loss: 0.6707 Epoch 17/50 13/13 [==============================] - 0s 997us/step - loss: 0.6542 Epoch 18/50 13/13 [==============================] - 0s 997us/step - loss: 0.6435 Epoch 19/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6337 Epoch 20/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6272 Epoch 21/50 13/13 [==============================] - 0s 997us/step - loss: 0.6217 Epoch 22/50 13/13 [==============================] - 0s 921us/step - loss: 0.6176 Epoch 23/50 13/13 [==============================] - 0s 921us/step - loss: 0.6141 Epoch 24/50 13/13 [==============================] - 0s 997us/step - loss: 0.6113 Epoch 25/50 13/13 [==============================] - 0s 997us/step - loss: 0.6081 Epoch 26/50 13/13 [==============================] - 0s 997us/step - loss: 0.6057 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.6035 Epoch 28/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6017 Epoch 29/50 13/13 [==============================] - 0s 997us/step - loss: 0.6000 Epoch 30/50 13/13 [==============================] - ETA: 0s - loss: 0.469 - 0s 1ms/step - loss: 0.5977 Epoch 31/50 13/13 [==============================] - 0s 997us/step - loss: 0.5974 Epoch 32/50 13/13 [==============================] - 0s 921us/step - loss: 0.5942 Epoch 33/50 13/13 [==============================] - 0s 997us/step - loss: 0.5927 Epoch 34/50 13/13 [==============================] - 0s 921us/step - loss: 0.5913 Epoch 35/50 13/13 [==============================] - 0s 997us/step - loss: 0.5905 Epoch 36/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5885 Epoch 37/50 13/13 [==============================] - 0s 997us/step - loss: 0.5883 Epoch 38/50 13/13 [==============================] - 0s 844us/step - loss: 0.5858 Epoch 39/50 13/13 [==============================] - 0s 921us/step - loss: 0.5848 Epoch 40/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5834 Epoch 41/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5829 Epoch 42/50 13/13 [==============================] - 0s 997us/step - loss: 0.5819 Epoch 43/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5802 Epoch 44/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5798 Epoch 45/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5789 Epoch 46/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5783 Epoch 47/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5785 Epoch 48/50 13/13 [==============================] - 0s 997us/step - loss: 0.5778 Epoch 49/50 13/13 [==============================] - 0s 997us/step - loss: 0.5751 Epoch 50/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5748 ###################################################################### Accuracy: 71.54203672005522 Epoch 1/100 13/13 [==============================] - 0s 2ms/step - loss: 1.0185 Epoch 2/100 13/13 [==============================] - 0s 997us/step - loss: 1.0168 Epoch 3/100 13/13 [==============================] - 0s 921us/step - loss: 1.0136 Epoch 4/100 13/13 [==============================] - 0s 921us/step - loss: 1.0055 Epoch 5/100 13/13 [==============================] - 0s 844us/step - loss: 0.9900 Epoch 6/100 13/13 [==============================] - 0s 979us/step - loss: 0.9665 Epoch 7/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9351 Epoch 8/100 13/13 [==============================] - 0s 921us/step - loss: 0.9004 Epoch 9/100 13/13 [==============================] - 0s 998us/step - loss: 0.8712 Epoch 10/100 13/13 [==============================] - 0s 997us/step - loss: 0.8499 Epoch 11/100 13/13 [==============================] - 0s 921us/step - loss: 0.8344 Epoch 12/100 13/13 [==============================] - 0s 997us/step - loss: 0.8224 Epoch 13/100 13/13 [==============================] - ETA: 0s - loss: 1.031 - 0s 1ms/step - loss: 0.8111 Epoch 14/100 13/13 [==============================] - 0s 997us/step - loss: 0.8018 Epoch 15/100 13/13 [==============================] - 0s 844us/step - loss: 0.7933 Epoch 16/100 13/13 [==============================] - 0s 997us/step - loss: 0.7854 Epoch 17/100 13/13 [==============================] - 0s 921us/step - loss: 0.7780 Epoch 18/100 13/13 [==============================] - 0s 921us/step - loss: 0.7715 Epoch 19/100 13/13 [==============================] - 0s 921us/step - loss: 0.7650 Epoch 20/100 13/13 [==============================] - 0s 921us/step - loss: 0.7584 Epoch 21/100 13/13 [==============================] - 0s 997us/step - loss: 0.7527 Epoch 22/100 13/13 [==============================] - 0s 921us/step - loss: 0.7468 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.7413 Epoch 24/100 13/13 [==============================] - 0s 1ms/step - loss: 0.7354 Epoch 25/100 13/13 [==============================] - 0s 844us/step - loss: 0.7302 Epoch 26/100 13/13 [==============================] - 0s 920us/step - loss: 0.7246 Epoch 27/100 13/13 [==============================] - 0s 997us/step - loss: 0.7197 Epoch 28/100 13/13 [==============================] - 0s 997us/step - loss: 0.7143 Epoch 29/100 13/13 [==============================] - 0s 997us/step - loss: 0.7092 Epoch 30/100 13/13 [==============================] - 0s 998us/step - loss: 0.7044 Epoch 31/100 13/13 [==============================] - 0s 921us/step - loss: 0.6996 Epoch 32/100 13/13 [==============================] - 0s 997us/step - loss: 0.6952 Epoch 33/100 13/13 [==============================] - 0s 997us/step - loss: 0.6902 Epoch 34/100 13/13 [==============================] - 0s 997us/step - loss: 0.6857 Epoch 35/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6822 Epoch 36/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6771 Epoch 37/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6734 Epoch 38/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6690 Epoch 39/100 13/13 [==============================] - 0s 2ms/step - loss: 0.6649 Epoch 40/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6614 Epoch 41/100 13/13 [==============================] - ETA: 0s - loss: 0.722 - 0s 1ms/step - loss: 0.6580 Epoch 42/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6542 Epoch 43/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6510 Epoch 44/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6476 Epoch 45/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6459 Epoch 46/100 13/13 [==============================] - 0s 997us/step - loss: 0.6424 Epoch 47/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6390 Epoch 48/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6361 Epoch 49/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6332 Epoch 50/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6308 Epoch 51/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6285 Epoch 52/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6253 Epoch 53/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6241 Epoch 54/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6212 Epoch 55/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6194 Epoch 56/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6166 Epoch 57/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6154 Epoch 58/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6133 Epoch 59/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6104 Epoch 60/100 13/13 [==============================] - 0s 997us/step - loss: 0.6100 Epoch 61/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6070 Epoch 62/100 13/13 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 63/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6036 Epoch 64/100 13/13 [==============================] - 0s 921us/step - loss: 0.6025 Epoch 65/100 13/13 [==============================] - 0s 997us/step - loss: 0.5994 Epoch 66/100 13/13 [==============================] - 0s 997us/step - loss: 0.5978 Epoch 67/100 13/13 [==============================] - 0s 997us/step - loss: 0.5969 Epoch 68/100 13/13 [==============================] - 0s 997us/step - loss: 0.5948 Epoch 69/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5936 Epoch 70/100 13/13 [==============================] - 0s 2ms/step - loss: 0.5913 Epoch 71/100 13/13 [==============================] - 0s 997us/step - loss: 0.5896 Epoch 72/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5879 Epoch 73/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5871 Epoch 74/100 13/13 [==============================] - 0s 920us/step - loss: 0.5854 Epoch 75/100 13/13 [==============================] - 0s 997us/step - loss: 0.5839 Epoch 76/100 13/13 [==============================] - 0s 844us/step - loss: 0.5826 Epoch 77/100 13/13 [==============================] - 0s 921us/step - loss: 0.5821 Epoch 78/100 13/13 [==============================] - 0s 997us/step - loss: 0.5799 Epoch 79/100 13/13 [==============================] - 0s 921us/step - loss: 0.5791 Epoch 80/100 13/13 [==============================] - 0s 844us/step - loss: 0.5790 Epoch 81/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5769 Epoch 82/100 13/13 [==============================] - 0s 921us/step - loss: 0.5765 Epoch 83/100 13/13 [==============================] - 0s 997us/step - loss: 0.5742 Epoch 84/100 13/13 [==============================] - 0s 921us/step - loss: 0.5741 Epoch 85/100 13/13 [==============================] - 0s 921us/step - loss: 0.5731 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5715 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.5708 Epoch 88/100 13/13 [==============================] - 0s 921us/step - loss: 0.5692 Epoch 89/100 13/13 [==============================] - 0s 921us/step - loss: 0.5684 Epoch 90/100 13/13 [==============================] - 0s 844us/step - loss: 0.5679 Epoch 91/100 13/13 [==============================] - 0s 844us/step - loss: 0.5678 Epoch 92/100 13/13 [==============================] - 0s 921us/step - loss: 0.5663 Epoch 93/100 13/13 [==============================] - 0s 997us/step - loss: 0.5666 Epoch 94/100 13/13 [==============================] - 0s 997us/step - loss: 0.5649 Epoch 95/100 13/13 [==============================] - 0s 997us/step - loss: 0.5633 Epoch 96/100 13/13 [==============================] - 0s 997us/step - loss: 0.5631 Epoch 97/100 13/13 [==============================] - 0s 997us/step - loss: 0.5622 Epoch 98/100 13/13 [==============================] - 0s 997us/step - loss: 0.5613 Epoch 99/100 13/13 [==============================] - 0s 997us/step - loss: 0.5630 Epoch 100/100 13/13 [==============================] - 0s 997us/step - loss: 0.5594 ###################################################################### Accuracy: 74.60107771207875 Epoch 1/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9872 Epoch 2/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9864 Epoch 3/100 13/13 [==============================] - 0s 843us/step - loss: 0.9857 Epoch 4/100 13/13 [==============================] - 0s 844us/step - loss: 0.9830 Epoch 5/100 13/13 [==============================] - 0s 617us/step - loss: 0.9766 Epoch 6/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9638 Epoch 7/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9404 Epoch 8/100 13/13 [==============================] - 0s 1ms/step - loss: 0.9053 Epoch 9/100 13/13 [==============================] - 0s 1ms/step - loss: 0.8599 Epoch 10/100 13/13 [==============================] - 0s 1ms/step - loss: 0.8044 Epoch 11/100 13/13 [==============================] - 0s 1ms/step - loss: 0.7520 Epoch 12/100 13/13 [==============================] - 0s 1ms/step - loss: 0.7077 Epoch 13/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6763 Epoch 14/100 13/13 [==============================] - 0s 2ms/step - loss: 0.6587 Epoch 15/100 13/13 [==============================] - 0s 920us/step - loss: 0.6510 Epoch 16/100 13/13 [==============================] - 0s 921us/step - loss: 0.6454 Epoch 17/100 13/13 [==============================] - 0s 844us/step - loss: 0.6412 Epoch 18/100 13/13 [==============================] - 0s 588us/step - loss: 0.6389 Epoch 19/100 13/13 [==============================] - 0s 893us/step - loss: 0.6361 Epoch 20/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6335 Epoch 21/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6318 Epoch 22/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6300 Epoch 23/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6281 Epoch 24/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6258 Epoch 25/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6236 Epoch 26/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6218 Epoch 27/100 13/13 [==============================] - 0s 2ms/step - loss: 0.6195 Epoch 28/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6181 Epoch 29/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6154 Epoch 30/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6143 Epoch 31/100 13/13 [==============================] - 0s 3ms/step - loss: 0.6121 Epoch 32/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6106 Epoch 33/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6087 Epoch 34/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6072 Epoch 35/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6059 Epoch 36/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6049 Epoch 37/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6034 Epoch 38/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6021 Epoch 39/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6008 Epoch 40/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5996 Epoch 41/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5978 Epoch 42/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5967 Epoch 43/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5964 Epoch 44/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5944 Epoch 45/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5948 Epoch 46/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5921 Epoch 47/100 13/13 [==============================] - 0s 921us/step - loss: 0.5906 Epoch 48/100 13/13 [==============================] - 0s 997us/step - loss: 0.5906 Epoch 49/100 13/13 [==============================] - 0s 921us/step - loss: 0.5894 Epoch 50/100 13/13 [==============================] - 0s 844us/step - loss: 0.5870 Epoch 51/100 13/13 [==============================] - 0s 844us/step - loss: 0.5862 Epoch 52/100 13/13 [==============================] - 0s 844us/step - loss: 0.5853 Epoch 53/100 13/13 [==============================] - 0s 997us/step - loss: 0.5835 Epoch 54/100 13/13 [==============================] - 0s 997us/step - loss: 0.5825 Epoch 55/100 13/13 [==============================] - 0s 921us/step - loss: 0.5821 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.5812 Epoch 57/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5796 Epoch 58/100 13/13 [==============================] - 0s 844us/step - loss: 0.5785 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.5781 Epoch 60/100 13/13 [==============================] - 0s 921us/step - loss: 0.5765 Epoch 61/100 13/13 [==============================] - 0s 921us/step - loss: 0.5765 Epoch 62/100 13/13 [==============================] - 0s 921us/step - loss: 0.5746 Epoch 63/100 13/13 [==============================] - 0s 998us/step - loss: 0.5737 Epoch 64/100 13/13 [==============================] - 0s 921us/step - loss: 0.5733 Epoch 65/100 13/13 [==============================] - 0s 921us/step - loss: 0.5720 Epoch 66/100 13/13 [==============================] - 0s 921us/step - loss: 0.5723 Epoch 67/100 13/13 [==============================] - 0s 921us/step - loss: 0.5707 Epoch 68/100 13/13 [==============================] - 0s 844us/step - loss: 0.5698 Epoch 69/100 13/13 [==============================] - 0s 844us/step - loss: 0.5688 Epoch 70/100 13/13 [==============================] - 0s 921us/step - loss: 0.5679 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.5682 Epoch 72/100 13/13 [==============================] - 0s 921us/step - loss: 0.5670 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5660 Epoch 74/100 13/13 [==============================] - 0s 844us/step - loss: 0.5654 Epoch 75/100 13/13 [==============================] - 0s 921us/step - loss: 0.5667 Epoch 76/100 13/13 [==============================] - 0s 920us/step - loss: 0.5644 Epoch 77/100 13/13 [==============================] - 0s 997us/step - loss: 0.5637 Epoch 78/100 13/13 [==============================] - 0s 997us/step - loss: 0.5626 Epoch 79/100 13/13 [==============================] - 0s 845us/step - loss: 0.5628 Epoch 80/100 13/13 [==============================] - 0s 997us/step - loss: 0.5613 Epoch 81/100 13/13 [==============================] - 0s 921us/step - loss: 0.5614 Epoch 82/100 13/13 [==============================] - 0s 844us/step - loss: 0.5614 Epoch 83/100 13/13 [==============================] - 0s 844us/step - loss: 0.5597 Epoch 84/100 13/13 [==============================] - 0s 844us/step - loss: 0.5599 Epoch 85/100 13/13 [==============================] - 0s 844us/step - loss: 0.5589 Epoch 86/100 13/13 [==============================] - 0s 998us/step - loss: 0.5583 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.5576 Epoch 88/100 13/13 [==============================] - 0s 844us/step - loss: 0.5574 Epoch 89/100 13/13 [==============================] - 0s 997us/step - loss: 0.5578 Epoch 90/100 13/13 [==============================] - 0s 997us/step - loss: 0.5566 Epoch 91/100 13/13 [==============================] - 0s 997us/step - loss: 0.5563 Epoch 92/100 13/13 [==============================] - 0s 997us/step - loss: 0.5561 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.5544 Epoch 94/100 13/13 [==============================] - 0s 921us/step - loss: 0.5549 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5541 Epoch 96/100 13/13 [==============================] - 0s 921us/step - loss: 0.5540 Epoch 97/100 13/13 [==============================] - 0s 921us/step - loss: 0.5541 Epoch 98/100 13/13 [==============================] - 0s 921us/step - loss: 0.5532 Epoch 99/100 13/13 [==============================] - 0s 844us/step - loss: 0.5535 Epoch 100/100 13/13 [==============================] - 0s 844us/step - loss: 0.5522 ###################################################################### Accuracy: 73.70073213271552 Epoch 1/100 13/13 [==============================] - 0s 844us/step - loss: 0.9760 Epoch 2/100 13/13 [==============================] - 0s 940us/step - loss: 0.9738 Epoch 3/100 13/13 [==============================] - 0s 981us/step - loss: 0.9698 Epoch 4/100 13/13 [==============================] - 0s 903us/step - loss: 0.9622 Epoch 5/100 13/13 [==============================] - 0s 936us/step - loss: 0.9470 Epoch 6/100 13/13 [==============================] - 0s 944us/step - loss: 0.9223 Epoch 7/100 13/13 [==============================] - 0s 997us/step - loss: 0.8853 Epoch 8/100 13/13 [==============================] - 0s 1ms/step - loss: 0.8383 Epoch 9/100 13/13 [==============================] - 0s 1ms/step - loss: 0.7845 Epoch 10/100 13/13 [==============================] - 0s 1ms/step - loss: 0.7308 Epoch 11/100 13/13 [==============================] - 0s 870us/step - loss: 0.6867 Epoch 12/100 13/13 [==============================] - 0s 844us/step - loss: 0.6570 Epoch 13/100 13/13 [==============================] - 0s 921us/step - loss: 0.6416 Epoch 14/100 13/13 [==============================] - 0s 920us/step - loss: 0.6347 Epoch 15/100 13/13 [==============================] - 0s 921us/step - loss: 0.6300 Epoch 16/100 13/13 [==============================] - 0s 997us/step - loss: 0.6276 Epoch 17/100 13/13 [==============================] - 0s 997us/step - loss: 0.6237 Epoch 18/100 13/13 [==============================] - 0s 921us/step - loss: 0.6210 Epoch 19/100 13/13 [==============================] - 0s 844us/step - loss: 0.6183 Epoch 20/100 13/13 [==============================] - 0s 844us/step - loss: 0.6155 Epoch 21/100 13/13 [==============================] - 0s 844us/step - loss: 0.6130 Epoch 22/100 13/13 [==============================] - 0s 844us/step - loss: 0.6101 Epoch 23/100 13/13 [==============================] - 0s 921us/step - loss: 0.6096 Epoch 24/100 13/13 [==============================] - 0s 921us/step - loss: 0.6067 Epoch 25/100 13/13 [==============================] - 0s 921us/step - loss: 0.6037 Epoch 26/100 13/13 [==============================] - 0s 844us/step - loss: 0.6027 Epoch 27/100 13/13 [==============================] - 0s 921us/step - loss: 0.6006 Epoch 28/100 13/13 [==============================] - 0s 844us/step - loss: 0.5981 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.5962 Epoch 30/100 13/13 [==============================] - 0s 844us/step - loss: 0.5948 Epoch 31/100 13/13 [==============================] - 0s 921us/step - loss: 0.5928 Epoch 32/100 13/13 [==============================] - 0s 844us/step - loss: 0.5920 Epoch 33/100 13/13 [==============================] - 0s 844us/step - loss: 0.5898 Epoch 34/100 13/13 [==============================] - 0s 844us/step - loss: 0.5889 Epoch 35/100 13/13 [==============================] - 0s 844us/step - loss: 0.5882 Epoch 36/100 13/13 [==============================] - 0s 921us/step - loss: 0.5866 Epoch 37/100 13/13 [==============================] - 0s 921us/step - loss: 0.5847 Epoch 38/100 13/13 [==============================] - 0s 997us/step - loss: 0.5837 Epoch 39/100 13/13 [==============================] - 0s 921us/step - loss: 0.5825 Epoch 40/100 13/13 [==============================] - 0s 844us/step - loss: 0.5813 Epoch 41/100 13/13 [==============================] - 0s 767us/step - loss: 0.5800 Epoch 42/100 13/13 [==============================] - 0s 844us/step - loss: 0.5788 Epoch 43/100 13/13 [==============================] - 0s 844us/step - loss: 0.5780 Epoch 44/100 13/13 [==============================] - 0s 921us/step - loss: 0.5775 Epoch 45/100 13/13 [==============================] - 0s 767us/step - loss: 0.5757 Epoch 46/100 13/13 [==============================] - 0s 844us/step - loss: 0.5750 Epoch 47/100 13/13 [==============================] - 0s 844us/step - loss: 0.5741 Epoch 48/100 13/13 [==============================] - 0s 921us/step - loss: 0.5737 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.5724 Epoch 50/100 13/13 [==============================] - 0s 844us/step - loss: 0.5723 Epoch 51/100 13/13 [==============================] - 0s 767us/step - loss: 0.5712 Epoch 52/100 13/13 [==============================] - 0s 997us/step - loss: 0.5707 Epoch 53/100 13/13 [==============================] - 0s 844us/step - loss: 0.5702 Epoch 54/100 13/13 [==============================] - 0s 844us/step - loss: 0.5701 Epoch 55/100 13/13 [==============================] - 0s 844us/step - loss: 0.5693 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.5686 Epoch 57/100 13/13 [==============================] - 0s 997us/step - loss: 0.5678 Epoch 58/100 13/13 [==============================] - 0s 921us/step - loss: 0.5678 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.5667 Epoch 60/100 13/13 [==============================] - 0s 921us/step - loss: 0.5669 Epoch 61/100 13/13 [==============================] - 0s 767us/step - loss: 0.5662 Epoch 62/100 13/13 [==============================] - 0s 844us/step - loss: 0.5662 Epoch 63/100 13/13 [==============================] - 0s 767us/step - loss: 0.5649 Epoch 64/100 13/13 [==============================] - 0s 921us/step - loss: 0.5643 Epoch 65/100 13/13 [==============================] - 0s 921us/step - loss: 0.5639 Epoch 66/100 13/13 [==============================] - 0s 921us/step - loss: 0.5632 Epoch 67/100 13/13 [==============================] - 0s 844us/step - loss: 0.5631 Epoch 68/100 13/13 [==============================] - 0s 921us/step - loss: 0.5635 Epoch 69/100 13/13 [==============================] - 0s 845us/step - loss: 0.5628 Epoch 70/100 13/13 [==============================] - 0s 844us/step - loss: 0.5624 Epoch 71/100 13/13 [==============================] - 0s 844us/step - loss: 0.5615 Epoch 72/100 13/13 [==============================] - 0s 844us/step - loss: 0.5614 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5602 Epoch 74/100 13/13 [==============================] - 0s 921us/step - loss: 0.5615 Epoch 75/100 13/13 [==============================] - 0s 921us/step - loss: 0.5599 Epoch 76/100 13/13 [==============================] - 0s 844us/step - loss: 0.5606 Epoch 77/100 13/13 [==============================] - 0s 997us/step - loss: 0.5597 Epoch 78/100 13/13 [==============================] - 0s 921us/step - loss: 0.5594 Epoch 79/100 13/13 [==============================] - 0s 920us/step - loss: 0.5586 Epoch 80/100 13/13 [==============================] - 0s 844us/step - loss: 0.5590 Epoch 81/100 13/13 [==============================] - 0s 844us/step - loss: 0.5584 Epoch 82/100 13/13 [==============================] - 0s 844us/step - loss: 0.5587 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5581 Epoch 84/100 13/13 [==============================] - 0s 844us/step - loss: 0.5578 Epoch 85/100 13/13 [==============================] - 0s 921us/step - loss: 0.5573 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5577 Epoch 87/100 13/13 [==============================] - 0s 921us/step - loss: 0.5575 Epoch 88/100 13/13 [==============================] - 0s 921us/step - loss: 0.5581 Epoch 89/100 13/13 [==============================] - 0s 921us/step - loss: 0.5568 Epoch 90/100 13/13 [==============================] - 0s 844us/step - loss: 0.5565 Epoch 91/100 13/13 [==============================] - 0s 997us/step - loss: 0.5563 Epoch 92/100 13/13 [==============================] - 0s 844us/step - loss: 0.5556 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.5557 Epoch 94/100 13/13 [==============================] - ETA: 0s - loss: 0.539 - 0s 844us/step - loss: 0.5551 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5550 Epoch 96/100 13/13 [==============================] - 0s 844us/step - loss: 0.5546 Epoch 97/100 13/13 [==============================] - 0s 997us/step - loss: 0.5547 Epoch 98/100 13/13 [==============================] - 0s 921us/step - loss: 0.5548 Epoch 99/100 13/13 [==============================] - 0s 844us/step - loss: 0.5544 Epoch 100/100 13/13 [==============================] - 0s 844us/step - loss: 0.5543 ###################################################################### Accuracy: 89.67379970465882 Epoch 1/100 13/13 [==============================] - 0s 971us/step - loss: 1.0188 Epoch 2/100 13/13 [==============================] - 0s 1ms/step - loss: 1.0158 Epoch 3/100 13/13 [==============================] - 0s 921us/step - loss: 1.0097 Epoch 4/100 13/13 [==============================] - 0s 921us/step - loss: 0.9976 Epoch 5/100 13/13 [==============================] - 0s 844us/step - loss: 0.9773 Epoch 6/100 13/13 [==============================] - 0s 844us/step - loss: 0.9435 Epoch 7/100 13/13 [==============================] - 0s 921us/step - loss: 0.8982 Epoch 8/100 13/13 [==============================] - 0s 844us/step - loss: 0.8454 Epoch 9/100 13/13 [==============================] - 0s 997us/step - loss: 0.7983 Epoch 10/100 13/13 [==============================] - 0s 844us/step - loss: 0.7594 Epoch 11/100 13/13 [==============================] - 0s 921us/step - loss: 0.7332 Epoch 12/100 13/13 [==============================] - 0s 921us/step - loss: 0.7122 Epoch 13/100 13/13 [==============================] - 0s 997us/step - loss: 0.6979 Epoch 14/100 13/13 [==============================] - 0s 921us/step - loss: 0.6843 Epoch 15/100 13/13 [==============================] - 0s 844us/step - loss: 0.6752 Epoch 16/100 13/13 [==============================] - 0s 921us/step - loss: 0.6654 Epoch 17/100 13/13 [==============================] - 0s 921us/step - loss: 0.6594 Epoch 18/100 13/13 [==============================] - 0s 920us/step - loss: 0.6549 Epoch 19/100 13/13 [==============================] - 0s 921us/step - loss: 0.6509 Epoch 20/100 13/13 [==============================] - 0s 844us/step - loss: 0.6486 Epoch 21/100 13/13 [==============================] - 0s 921us/step - loss: 0.6466 Epoch 22/100 13/13 [==============================] - 0s 921us/step - loss: 0.6446 Epoch 23/100 13/13 [==============================] - 0s 921us/step - loss: 0.6435 Epoch 24/100 13/13 [==============================] - 0s 844us/step - loss: 0.6422 Epoch 25/100 13/13 [==============================] - 0s 997us/step - loss: 0.6413 Epoch 26/100 13/13 [==============================] - 0s 844us/step - loss: 0.6403 Epoch 27/100 13/13 [==============================] - 0s 767us/step - loss: 0.6397 Epoch 28/100 13/13 [==============================] - 0s 844us/step - loss: 0.6389 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.6376 Epoch 30/100 13/13 [==============================] - 0s 921us/step - loss: 0.6374 Epoch 31/100 13/13 [==============================] - 0s 921us/step - loss: 0.6369 Epoch 32/100 13/13 [==============================] - 0s 844us/step - loss: 0.6361 Epoch 33/100 13/13 [==============================] - 0s 921us/step - loss: 0.6363 Epoch 34/100 13/13 [==============================] - 0s 921us/step - loss: 0.6351 Epoch 35/100 13/13 [==============================] - 0s 921us/step - loss: 0.6346 Epoch 36/100 13/13 [==============================] - 0s 921us/step - loss: 0.6345 Epoch 37/100 13/13 [==============================] - 0s 844us/step - loss: 0.6339 Epoch 38/100 13/13 [==============================] - 0s 767us/step - loss: 0.6335 Epoch 39/100 13/13 [==============================] - 0s 844us/step - loss: 0.6334 Epoch 40/100 13/13 [==============================] - 0s 844us/step - loss: 0.6331 Epoch 41/100 13/13 [==============================] - 0s 844us/step - loss: 0.6322 Epoch 42/100 13/13 [==============================] - 0s 921us/step - loss: 0.6320 Epoch 43/100 13/13 [==============================] - 0s 921us/step - loss: 0.6323 Epoch 44/100 13/13 [==============================] - 0s 920us/step - loss: 0.6315 Epoch 45/100 13/13 [==============================] - 0s 844us/step - loss: 0.6310 Epoch 46/100 13/13 [==============================] - 0s 844us/step - loss: 0.6307 Epoch 47/100 13/13 [==============================] - 0s 921us/step - loss: 0.6306 Epoch 48/100 13/13 [==============================] - 0s 843us/step - loss: 0.6305 Epoch 49/100 13/13 [==============================] - 0s 767us/step - loss: 0.6301 Epoch 50/100 13/13 [==============================] - 0s 921us/step - loss: 0.6298 Epoch 51/100 13/13 [==============================] - 0s 844us/step - loss: 0.6296 Epoch 52/100 13/13 [==============================] - 0s 844us/step - loss: 0.6291 Epoch 53/100 13/13 [==============================] - 0s 844us/step - loss: 0.6286 Epoch 54/100 13/13 [==============================] - 0s 921us/step - loss: 0.6283 Epoch 55/100 13/13 [==============================] - 0s 844us/step - loss: 0.6283 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.6277 Epoch 57/100 13/13 [==============================] - 0s 844us/step - loss: 0.6274 Epoch 58/100 13/13 [==============================] - 0s 767us/step - loss: 0.6271 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.6272 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.6263 Epoch 61/100 13/13 [==============================] - 0s 920us/step - loss: 0.6263 Epoch 62/100 13/13 [==============================] - 0s 844us/step - loss: 0.6259 Epoch 63/100 13/13 [==============================] - 0s 921us/step - loss: 0.6262 Epoch 64/100 13/13 [==============================] - 0s 844us/step - loss: 0.6260 Epoch 65/100 13/13 [==============================] - 0s 844us/step - loss: 0.6252 Epoch 66/100 13/13 [==============================] - 0s 844us/step - loss: 0.6248 Epoch 67/100 13/13 [==============================] - 0s 997us/step - loss: 0.6251 Epoch 68/100 13/13 [==============================] - 0s 844us/step - loss: 0.6258 Epoch 69/100 13/13 [==============================] - 0s 844us/step - loss: 0.6246 Epoch 70/100 13/13 [==============================] - 0s 921us/step - loss: 0.6252 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.6232 Epoch 72/100 13/13 [==============================] - 0s 921us/step - loss: 0.6246 Epoch 73/100 13/13 [==============================] - 0s 844us/step - loss: 0.6231 Epoch 74/100 13/13 [==============================] - 0s 844us/step - loss: 0.6233 Epoch 75/100 13/13 [==============================] - 0s 767us/step - loss: 0.6230 Epoch 76/100 13/13 [==============================] - 0s 767us/step - loss: 0.6226 Epoch 77/100 13/13 [==============================] - 0s 920us/step - loss: 0.6218 Epoch 78/100 13/13 [==============================] - 0s 845us/step - loss: 0.6217 Epoch 79/100 13/13 [==============================] - 0s 921us/step - loss: 0.6219 Epoch 80/100 13/13 [==============================] - 0s 844us/step - loss: 0.6214 Epoch 81/100 13/13 [==============================] - 0s 920us/step - loss: 0.6214 Epoch 82/100 13/13 [==============================] - 0s 844us/step - loss: 0.6207 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.6208 Epoch 84/100 13/13 [==============================] - 0s 844us/step - loss: 0.6211 Epoch 85/100 13/13 [==============================] - 0s 920us/step - loss: 0.6199 Epoch 86/100 13/13 [==============================] - 0s 845us/step - loss: 0.6195 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.6194 Epoch 88/100 13/13 [==============================] - 0s 844us/step - loss: 0.6193 Epoch 89/100 13/13 [==============================] - 0s 997us/step - loss: 0.6188 Epoch 90/100 13/13 [==============================] - 0s 921us/step - loss: 0.6182 Epoch 91/100 13/13 [==============================] - 0s 844us/step - loss: 0.6179 Epoch 92/100 13/13 [==============================] - 0s 844us/step - loss: 0.6175 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.6173 Epoch 94/100 13/13 [==============================] - 0s 921us/step - loss: 0.6167 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.6180 Epoch 96/100 13/13 [==============================] - 0s 921us/step - loss: 0.6174 Epoch 97/100 13/13 [==============================] - 0s 844us/step - loss: 0.6164 Epoch 98/100 13/13 [==============================] - 0s 844us/step - loss: 0.6160 Epoch 99/100 13/13 [==============================] - 0s 844us/step - loss: 0.6155 Epoch 100/100 13/13 [==============================] - 0s 767us/step - loss: 0.6159 ###################################################################### Accuracy: 73.78730765392538 Epoch 1/100 13/13 [==============================] - 0s 1000us/step - loss: 1.0004 Epoch 2/100 13/13 [==============================] - 0s 997us/step - loss: 0.9966 Epoch 3/100 13/13 [==============================] - 0s 991us/step - loss: 0.9902 Epoch 4/100 13/13 [==============================] - 0s 997us/step - loss: 0.9768 Epoch 5/100 13/13 [==============================] - 0s 997us/step - loss: 0.9549 Epoch 6/100 13/13 [==============================] - 0s 860us/step - loss: 0.9242 Epoch 7/100 13/13 [==============================] - 0s 932us/step - loss: 0.8871 Epoch 8/100 13/13 [==============================] - 0s 921us/step - loss: 0.8583 Epoch 9/100 13/13 [==============================] - 0s 844us/step - loss: 0.8350 Epoch 10/100 13/13 [==============================] - 0s 920us/step - loss: 0.8225 Epoch 11/100 13/13 [==============================] - 0s 920us/step - loss: 0.8118 Epoch 12/100 13/13 [==============================] - 0s 844us/step - loss: 0.8031 Epoch 13/100 13/13 [==============================] - 0s 921us/step - loss: 0.7940 Epoch 14/100 13/13 [==============================] - 0s 921us/step - loss: 0.7864 Epoch 15/100 13/13 [==============================] - 0s 920us/step - loss: 0.7796 Epoch 16/100 13/13 [==============================] - 0s 921us/step - loss: 0.7727 Epoch 17/100 13/13 [==============================] - 0s 844us/step - loss: 0.7666 Epoch 18/100 13/13 [==============================] - 0s 844us/step - loss: 0.7604 Epoch 19/100 13/13 [==============================] - 0s 844us/step - loss: 0.7540 Epoch 20/100 13/13 [==============================] - 0s 921us/step - loss: 0.7481 Epoch 21/100 13/13 [==============================] - 0s 921us/step - loss: 0.7429 Epoch 22/100 13/13 [==============================] - 0s 921us/step - loss: 0.7375 Epoch 23/100 13/13 [==============================] - 0s 921us/step - loss: 0.7323 Epoch 24/100 13/13 [==============================] - 0s 920us/step - loss: 0.7279 Epoch 25/100 13/13 [==============================] - 0s 921us/step - loss: 0.7232 Epoch 26/100 13/13 [==============================] - 0s 844us/step - loss: 0.7186 Epoch 27/100 13/13 [==============================] - 0s 844us/step - loss: 0.7140 Epoch 28/100 13/13 [==============================] - 0s 844us/step - loss: 0.7097 Epoch 29/100 13/13 [==============================] - 0s 844us/step - loss: 0.7060 Epoch 30/100 13/13 [==============================] - 0s 921us/step - loss: 0.7018 Epoch 31/100 13/13 [==============================] - 0s 844us/step - loss: 0.6985 Epoch 32/100 13/13 [==============================] - 0s 921us/step - loss: 0.6946 Epoch 33/100 13/13 [==============================] - 0s 921us/step - loss: 0.6907 Epoch 34/100 13/13 [==============================] - 0s 921us/step - loss: 0.6871 Epoch 35/100 13/13 [==============================] - 0s 920us/step - loss: 0.6841 Epoch 36/100 13/13 [==============================] - 0s 997us/step - loss: 0.6799 Epoch 37/100 13/13 [==============================] - 0s 844us/step - loss: 0.6768 Epoch 38/100 13/13 [==============================] - 0s 843us/step - loss: 0.6741 Epoch 39/100 13/13 [==============================] - 0s 844us/step - loss: 0.6705 Epoch 40/100 13/13 [==============================] - 0s 844us/step - loss: 0.6673 Epoch 41/100 13/13 [==============================] - 0s 844us/step - loss: 0.6644 Epoch 42/100 13/13 [==============================] - 0s 844us/step - loss: 0.6628 Epoch 43/100 13/13 [==============================] - 0s 920us/step - loss: 0.6589 Epoch 44/100 13/13 [==============================] - 0s 922us/step - loss: 0.6571 Epoch 45/100 13/13 [==============================] - 0s 922us/step - loss: 0.6541 Epoch 46/100 13/13 [==============================] - 0s 921us/step - loss: 0.6520 Epoch 47/100 13/13 [==============================] - 0s 844us/step - loss: 0.6491 Epoch 48/100 13/13 [==============================] - 0s 844us/step - loss: 0.6469 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.6446 Epoch 50/100 13/13 [==============================] - 0s 844us/step - loss: 0.6420 Epoch 51/100 13/13 [==============================] - 0s 921us/step - loss: 0.6395 Epoch 52/100 13/13 [==============================] - 0s 921us/step - loss: 0.6374 Epoch 53/100 13/13 [==============================] - 0s 844us/step - loss: 0.6357 Epoch 54/100 13/13 [==============================] - 0s 844us/step - loss: 0.6334 Epoch 55/100 13/13 [==============================] - 0s 844us/step - loss: 0.6315 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.6300 Epoch 57/100 13/13 [==============================] - 0s 844us/step - loss: 0.6291 Epoch 58/100 13/13 [==============================] - 0s 921us/step - loss: 0.6267 Epoch 59/100 13/13 [==============================] - 0s 920us/step - loss: 0.6244 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.6229 Epoch 61/100 13/13 [==============================] - 0s 844us/step - loss: 0.6206 Epoch 62/100 13/13 [==============================] - 0s 921us/step - loss: 0.6193 Epoch 63/100 13/13 [==============================] - 0s 921us/step - loss: 0.6173 Epoch 64/100 13/13 [==============================] - 0s 844us/step - loss: 0.6174 Epoch 65/100 13/13 [==============================] - 0s 921us/step - loss: 0.6144 Epoch 66/100 13/13 [==============================] - 0s 844us/step - loss: 0.6132 Epoch 67/100 13/13 [==============================] - 0s 844us/step - loss: 0.6115 Epoch 68/100 13/13 [==============================] - 0s 921us/step - loss: 0.6097 Epoch 69/100 13/13 [==============================] - 0s 921us/step - loss: 0.6081 Epoch 70/100 13/13 [==============================] - 0s 921us/step - loss: 0.6068 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.6055 Epoch 72/100 13/13 [==============================] - 0s 921us/step - loss: 0.6050 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.6036 Epoch 74/100 13/13 [==============================] - 0s 767us/step - loss: 0.6016 Epoch 75/100 13/13 [==============================] - 0s 767us/step - loss: 0.6009 Epoch 76/100 13/13 [==============================] - 0s 920us/step - loss: 0.6002 Epoch 77/100 13/13 [==============================] - 0s 920us/step - loss: 0.5983 Epoch 78/100 13/13 [==============================] - 0s 844us/step - loss: 0.5966 Epoch 79/100 13/13 [==============================] - 0s 844us/step - loss: 0.5969 Epoch 80/100 13/13 [==============================] - 0s 920us/step - loss: 0.5950 Epoch 81/100 13/13 [==============================] - 0s 844us/step - loss: 0.5941 Epoch 82/100 13/13 [==============================] - 0s 921us/step - loss: 0.5934 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5918 Epoch 84/100 13/13 [==============================] - 0s 921us/step - loss: 0.5911 Epoch 85/100 13/13 [==============================] - 0s 844us/step - loss: 0.5898 Epoch 86/100 13/13 [==============================] - 0s 844us/step - loss: 0.5890 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.5883 Epoch 88/100 13/13 [==============================] - 0s 844us/step - loss: 0.5877 Epoch 89/100 13/13 [==============================] - 0s 921us/step - loss: 0.5861 Epoch 90/100 13/13 [==============================] - 0s 844us/step - loss: 0.5858 Epoch 91/100 13/13 [==============================] - 0s 921us/step - loss: 0.5847 Epoch 92/100 13/13 [==============================] - 0s 921us/step - loss: 0.5853 Epoch 93/100 13/13 [==============================] - 0s 920us/step - loss: 0.5833 Epoch 94/100 13/13 [==============================] - 0s 921us/step - loss: 0.5822 Epoch 95/100 13/13 [==============================] - 0s 844us/step - loss: 0.5828 Epoch 96/100 13/13 [==============================] - 0s 921us/step - loss: 0.5809 Epoch 97/100 13/13 [==============================] - 0s 921us/step - loss: 0.5797 Epoch 98/100 13/13 [==============================] - 0s 844us/step - loss: 0.5785 Epoch 99/100 13/13 [==============================] - 0s 921us/step - loss: 0.5792 Epoch 100/100 13/13 [==============================] - 0s 844us/step - loss: 0.5770 ###################################################################### Accuracy: 77.21789510698098 Epoch 1/150 13/13 [==============================] - 0s 923us/step - loss: 1.0184 Epoch 2/150 13/13 [==============================] - 0s 943us/step - loss: 1.0162 Epoch 3/150 13/13 [==============================] - 0s 920us/step - loss: 1.0113 Epoch 4/150 13/13 [==============================] - 0s 972us/step - loss: 1.0006 Epoch 5/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9807 Epoch 6/150 13/13 [==============================] - 0s 988us/step - loss: 0.9493 Epoch 7/150 13/13 [==============================] - 0s 998us/step - loss: 0.9048 Epoch 8/150 13/13 [==============================] - 0s 1ms/step - loss: 0.8497 Epoch 9/150 13/13 [==============================] - 0s 994us/step - loss: 0.7875 Epoch 10/150 13/13 [==============================] - 0s 872us/step - loss: 0.7324 Epoch 11/150 13/13 [==============================] - 0s 921us/step - loss: 0.6923 Epoch 12/150 13/13 [==============================] - 0s 962us/step - loss: 0.6632 Epoch 13/150 13/13 [==============================] - 0s 969us/step - loss: 0.6476 Epoch 14/150 13/13 [==============================] - 0s 876us/step - loss: 0.6416 Epoch 15/150 13/13 [==============================] - ETA: 0s - loss: 0.524 - 0s 997us/step - loss: 0.6351 Epoch 16/150 13/13 [==============================] - 0s 990us/step - loss: 0.6317 Epoch 17/150 13/13 [==============================] - 0s 921us/step - loss: 0.6289 Epoch 18/150 13/13 [==============================] - 0s 844us/step - loss: 0.6259 Epoch 19/150 13/13 [==============================] - 0s 921us/step - loss: 0.6232 Epoch 20/150 13/13 [==============================] - 0s 844us/step - loss: 0.6207 Epoch 21/150 13/13 [==============================] - 0s 844us/step - loss: 0.6190 Epoch 22/150 13/13 [==============================] - 0s 844us/step - loss: 0.6161 Epoch 23/150 13/13 [==============================] - 0s 844us/step - loss: 0.6138 Epoch 24/150 13/13 [==============================] - 0s 921us/step - loss: 0.6121 Epoch 25/150 13/13 [==============================] - 0s 921us/step - loss: 0.6105 Epoch 26/150 13/13 [==============================] - 0s 997us/step - loss: 0.6088 Epoch 27/150 13/13 [==============================] - 0s 921us/step - loss: 0.6069 Epoch 28/150 13/13 [==============================] - 0s 997us/step - loss: 0.6053 Epoch 29/150 13/13 [==============================] - 0s 921us/step - loss: 0.6044 Epoch 30/150 13/13 [==============================] - 0s 844us/step - loss: 0.6025 Epoch 31/150 13/13 [==============================] - 0s 844us/step - loss: 0.6012 Epoch 32/150 13/13 [==============================] - 0s 844us/step - loss: 0.6002 Epoch 33/150 13/13 [==============================] - 0s 844us/step - loss: 0.5991 Epoch 34/150 13/13 [==============================] - 0s 921us/step - loss: 0.5975 Epoch 35/150 13/13 [==============================] - 0s 920us/step - loss: 0.5963 Epoch 36/150 13/13 [==============================] - 0s 921us/step - loss: 0.5955 Epoch 37/150 13/13 [==============================] - 0s 844us/step - loss: 0.5945 Epoch 38/150 13/13 [==============================] - 0s 921us/step - loss: 0.5929 Epoch 39/150 13/13 [==============================] - 0s 845us/step - loss: 0.5922 Epoch 40/150 13/13 [==============================] - 0s 844us/step - loss: 0.5907 Epoch 41/150 13/13 [==============================] - 0s 844us/step - loss: 0.5899 Epoch 42/150 13/13 [==============================] - 0s 921us/step - loss: 0.5892 Epoch 43/150 13/13 [==============================] - 0s 844us/step - loss: 0.5879 Epoch 44/150 13/13 [==============================] - 0s 844us/step - loss: 0.5870 Epoch 45/150 13/13 [==============================] - 0s 844us/step - loss: 0.5862 Epoch 46/150 13/13 [==============================] - 0s 997us/step - loss: 0.5851 Epoch 47/150 13/13 [==============================] - 0s 844us/step - loss: 0.5843 Epoch 48/150 13/13 [==============================] - 0s 997us/step - loss: 0.5832 Epoch 49/150 13/13 [==============================] - 0s 844us/step - loss: 0.5826 Epoch 50/150 13/13 [==============================] - 0s 920us/step - loss: 0.5818 Epoch 51/150 13/13 [==============================] - 0s 921us/step - loss: 0.5810 Epoch 52/150 13/13 [==============================] - 0s 844us/step - loss: 0.5804 Epoch 53/150 13/13 [==============================] - 0s 921us/step - loss: 0.5790 Epoch 54/150 13/13 [==============================] - 0s 921us/step - loss: 0.5785 Epoch 55/150 13/13 [==============================] - 0s 844us/step - loss: 0.5779 Epoch 56/150 13/13 [==============================] - 0s 844us/step - loss: 0.5772 Epoch 57/150 13/13 [==============================] - 0s 921us/step - loss: 0.5758 Epoch 58/150 13/13 [==============================] - 0s 921us/step - loss: 0.5755 Epoch 59/150 13/13 [==============================] - 0s 844us/step - loss: 0.5753 Epoch 60/150 13/13 [==============================] - 0s 920us/step - loss: 0.5739 Epoch 61/150 13/13 [==============================] - 0s 844us/step - loss: 0.5736 Epoch 62/150 13/13 [==============================] - 0s 997us/step - loss: 0.5726 Epoch 63/150 13/13 [==============================] - 0s 844us/step - loss: 0.5716 Epoch 64/150 13/13 [==============================] - 0s 844us/step - loss: 0.5727 Epoch 65/150 13/13 [==============================] - 0s 921us/step - loss: 0.5710 Epoch 66/150 13/13 [==============================] - 0s 844us/step - loss: 0.5700 Epoch 67/150 13/13 [==============================] - 0s 844us/step - loss: 0.5704 Epoch 68/150 13/13 [==============================] - 0s 921us/step - loss: 0.5687 Epoch 69/150 13/13 [==============================] - 0s 844us/step - loss: 0.5692 Epoch 70/150 13/13 [==============================] - 0s 920us/step - loss: 0.5682 Epoch 71/150 13/13 [==============================] - 0s 921us/step - loss: 0.5673 Epoch 72/150 13/13 [==============================] - 0s 921us/step - loss: 0.5674 Epoch 73/150 13/13 [==============================] - 0s 921us/step - loss: 0.5663 Epoch 74/150 13/13 [==============================] - 0s 844us/step - loss: 0.5656 Epoch 75/150 13/13 [==============================] - 0s 844us/step - loss: 0.5663 Epoch 76/150 13/13 [==============================] - 0s 921us/step - loss: 0.5648 Epoch 77/150 13/13 [==============================] - 0s 767us/step - loss: 0.5641 Epoch 78/150 13/13 [==============================] - 0s 997us/step - loss: 0.5638 Epoch 79/150 13/13 [==============================] - 0s 844us/step - loss: 0.5627 Epoch 80/150 13/13 [==============================] - 0s 844us/step - loss: 0.5627 Epoch 81/150 13/13 [==============================] - 0s 921us/step - loss: 0.5623 Epoch 82/150 13/13 [==============================] - 0s 844us/step - loss: 0.5611 Epoch 83/150 13/13 [==============================] - 0s 997us/step - loss: 0.5607 Epoch 84/150 13/13 [==============================] - 0s 844us/step - loss: 0.5606 Epoch 85/150 13/13 [==============================] - 0s 921us/step - loss: 0.5607 Epoch 86/150 13/13 [==============================] - 0s 844us/step - loss: 0.5601 Epoch 87/150 13/13 [==============================] - 0s 844us/step - loss: 0.5597 Epoch 88/150 13/13 [==============================] - 0s 921us/step - loss: 0.5591 Epoch 89/150 13/13 [==============================] - 0s 921us/step - loss: 0.5587 Epoch 90/150 13/13 [==============================] - 0s 844us/step - loss: 0.5583 Epoch 91/150 13/13 [==============================] - 0s 921us/step - loss: 0.5577 Epoch 92/150 13/13 [==============================] - 0s 997us/step - loss: 0.5590 Epoch 93/150 13/13 [==============================] - 0s 921us/step - loss: 0.5580 Epoch 94/150 13/13 [==============================] - 0s 844us/step - loss: 0.5571 Epoch 95/150 13/13 [==============================] - 0s 921us/step - loss: 0.5564 Epoch 96/150 13/13 [==============================] - 0s 767us/step - loss: 0.5564 Epoch 97/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5565 Epoch 98/150 13/13 [==============================] - 0s 844us/step - loss: 0.5553 Epoch 99/150 13/13 [==============================] - 0s 844us/step - loss: 0.5550 Epoch 100/150 13/13 [==============================] - 0s 844us/step - loss: 0.5556 Epoch 101/150 13/13 [==============================] - 0s 919us/step - loss: 0.5547 Epoch 102/150 13/13 [==============================] - 0s 844us/step - loss: 0.5542 Epoch 103/150 13/13 [==============================] - 0s 997us/step - loss: 0.5541 Epoch 104/150 13/13 [==============================] - 0s 919us/step - loss: 0.5534 Epoch 105/150 13/13 [==============================] - 0s 844us/step - loss: 0.5533 Epoch 106/150 13/13 [==============================] - 0s 844us/step - loss: 0.5530 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.5525 Epoch 108/150 13/13 [==============================] - 0s 921us/step - loss: 0.5524 Epoch 109/150 13/13 [==============================] - 0s 921us/step - loss: 0.5524 Epoch 110/150 13/13 [==============================] - 0s 996us/step - loss: 0.5522 Epoch 111/150 13/13 [==============================] - 0s 920us/step - loss: 0.5522 Epoch 112/150 13/13 [==============================] - 0s 844us/step - loss: 0.5511 Epoch 113/150 13/13 [==============================] - 0s 921us/step - loss: 0.5506 Epoch 114/150 13/13 [==============================] - 0s 921us/step - loss: 0.5506 Epoch 115/150 13/13 [==============================] - 0s 844us/step - loss: 0.5503 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.5504 Epoch 117/150 13/13 [==============================] - 0s 921us/step - loss: 0.5500 Epoch 118/150 13/13 [==============================] - 0s 921us/step - loss: 0.5497 Epoch 119/150 13/13 [==============================] - 0s 921us/step - loss: 0.5493 Epoch 120/150 13/13 [==============================] - 0s 921us/step - loss: 0.5490 Epoch 121/150 13/13 [==============================] - 0s 844us/step - loss: 0.5488 Epoch 122/150 13/13 [==============================] - 0s 844us/step - loss: 0.5491 Epoch 123/150 13/13 [==============================] - 0s 844us/step - loss: 0.5490 Epoch 124/150 13/13 [==============================] - 0s 921us/step - loss: 0.5480 Epoch 125/150 13/13 [==============================] - 0s 844us/step - loss: 0.5483 Epoch 126/150 13/13 [==============================] - ETA: 0s - loss: 0.397 - 0s 767us/step - loss: 0.5478 Epoch 127/150 13/13 [==============================] - 0s 844us/step - loss: 0.5478 Epoch 128/150 13/13 [==============================] - 0s 921us/step - loss: 0.5479 Epoch 129/150 13/13 [==============================] - 0s 844us/step - loss: 0.5478 Epoch 130/150 13/13 [==============================] - 0s 844us/step - loss: 0.5467 Epoch 131/150 13/13 [==============================] - 0s 921us/step - loss: 0.5464 Epoch 132/150 13/13 [==============================] - 0s 921us/step - loss: 0.5464 Epoch 133/150 13/13 [==============================] - 0s 920us/step - loss: 0.5461 Epoch 134/150 13/13 [==============================] - 0s 767us/step - loss: 0.5463 Epoch 135/150 13/13 [==============================] - 0s 844us/step - loss: 0.5463 Epoch 136/150 13/13 [==============================] - 0s 844us/step - loss: 0.5457 Epoch 137/150 13/13 [==============================] - 0s 921us/step - loss: 0.5449 Epoch 138/150 13/13 [==============================] - 0s 844us/step - loss: 0.5448 Epoch 139/150 13/13 [==============================] - 0s 920us/step - loss: 0.5449 Epoch 140/150 13/13 [==============================] - 0s 844us/step - loss: 0.5443 Epoch 141/150 13/13 [==============================] - 0s 921us/step - loss: 0.5443 Epoch 142/150 13/13 [==============================] - 0s 997us/step - loss: 0.5446 Epoch 143/150 13/13 [==============================] - 0s 921us/step - loss: 0.5439 Epoch 144/150 13/13 [==============================] - 0s 997us/step - loss: 0.5449 Epoch 145/150 13/13 [==============================] - 0s 920us/step - loss: 0.5432 Epoch 146/150 13/13 [==============================] - 0s 844us/step - loss: 0.5442 Epoch 147/150 13/13 [==============================] - 0s 921us/step - loss: 0.5427 Epoch 148/150 13/13 [==============================] - 0s 921us/step - loss: 0.5429 Epoch 149/150 13/13 [==============================] - 0s 844us/step - loss: 0.5426 Epoch 150/150 13/13 [==============================] - 0s 844us/step - loss: 0.5432 ###################################################################### Accuracy: 73.10300291756006 Epoch 1/150 13/13 [==============================] - 0s 921us/step - loss: 0.9862 Epoch 2/150 13/13 [==============================] - 0s 944us/step - loss: 0.9851 Epoch 3/150 13/13 [==============================] - 0s 921us/step - loss: 0.9832 Epoch 4/150 13/13 [==============================] - 0s 921us/step - loss: 0.9793 Epoch 5/150 13/13 [==============================] - 0s 894us/step - loss: 0.9714 Epoch 6/150 13/13 [==============================] - 0s 998us/step - loss: 0.9567 Epoch 7/150 13/13 [==============================] - 0s 968us/step - loss: 0.9318 Epoch 8/150 13/13 [==============================] - 0s 844us/step - loss: 0.8968 Epoch 9/150 13/13 [==============================] - 0s 844us/step - loss: 0.8594 Epoch 10/150 13/13 [==============================] - 0s 921us/step - loss: 0.8224 Epoch 11/150 13/13 [==============================] - 0s 920us/step - loss: 0.7906 Epoch 12/150 13/13 [==============================] - 0s 921us/step - loss: 0.7637 Epoch 13/150 13/13 [==============================] - 0s 844us/step - loss: 0.7392 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.7157 Epoch 15/150 13/13 [==============================] - 0s 844us/step - loss: 0.6946 Epoch 16/150 13/13 [==============================] - 0s 921us/step - loss: 0.6761 Epoch 17/150 13/13 [==============================] - 0s 921us/step - loss: 0.6606 Epoch 18/150 13/13 [==============================] - 0s 997us/step - loss: 0.6479 Epoch 19/150 13/13 [==============================] - 0s 844us/step - loss: 0.6359 Epoch 20/150 13/13 [==============================] - 0s 921us/step - loss: 0.6280 Epoch 21/150 13/13 [==============================] - 0s 997us/step - loss: 0.6216 Epoch 22/150 13/13 [==============================] - 0s 997us/step - loss: 0.6165 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.6118 Epoch 24/150 13/13 [==============================] - 0s 997us/step - loss: 0.6090 Epoch 25/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6059 Epoch 26/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6026 Epoch 27/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6004 Epoch 28/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5980 Epoch 29/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5958 Epoch 30/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5939 Epoch 31/150 13/13 [==============================] - 0s 997us/step - loss: 0.5917 Epoch 32/150 13/13 [==============================] - 0s 997us/step - loss: 0.5898 Epoch 33/150 13/13 [==============================] - 0s 997us/step - loss: 0.5894 Epoch 34/150 13/13 [==============================] - 0s 998us/step - loss: 0.5869 Epoch 35/150 13/13 [==============================] - 0s 997us/step - loss: 0.5860 Epoch 36/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5851 Epoch 37/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5842 Epoch 38/150 13/13 [==============================] - 0s 997us/step - loss: 0.5834 Epoch 39/150 13/13 [==============================] - 0s 921us/step - loss: 0.5819 Epoch 40/150 13/13 [==============================] - 0s 921us/step - loss: 0.5811 Epoch 41/150 13/13 [==============================] - 0s 921us/step - loss: 0.5812 Epoch 42/150 13/13 [==============================] - 0s 921us/step - loss: 0.5798 Epoch 43/150 13/13 [==============================] - 0s 921us/step - loss: 0.5794 Epoch 44/150 13/13 [==============================] - 0s 844us/step - loss: 0.5792 Epoch 45/150 13/13 [==============================] - 0s 921us/step - loss: 0.5799 Epoch 46/150 13/13 [==============================] - 0s 920us/step - loss: 0.5772 Epoch 47/150 13/13 [==============================] - 0s 844us/step - loss: 0.5769 Epoch 48/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5775 Epoch 49/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5764 Epoch 50/150 13/13 [==============================] - 0s 921us/step - loss: 0.5760 Epoch 51/150 13/13 [==============================] - 0s 997us/step - loss: 0.5749 Epoch 52/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5747 Epoch 53/150 13/13 [==============================] - 0s 921us/step - loss: 0.5740 Epoch 54/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5737 Epoch 55/150 13/13 [==============================] - 0s 998us/step - loss: 0.5731 Epoch 56/150 13/13 [==============================] - 0s 997us/step - loss: 0.5730 Epoch 57/150 13/13 [==============================] - 0s 997us/step - loss: 0.5731 Epoch 58/150 13/13 [==============================] - 0s 997us/step - loss: 0.5719 Epoch 59/150 13/13 [==============================] - 0s 921us/step - loss: 0.5714 Epoch 60/150 13/13 [==============================] - 0s 921us/step - loss: 0.5719 Epoch 61/150 13/13 [==============================] - 0s 844us/step - loss: 0.5708 Epoch 62/150 13/13 [==============================] - 0s 921us/step - loss: 0.5702 Epoch 63/150 13/13 [==============================] - 0s 844us/step - loss: 0.5697 Epoch 64/150 13/13 [==============================] - 0s 921us/step - loss: 0.5696 Epoch 65/150 13/13 [==============================] - 0s 921us/step - loss: 0.5691 Epoch 66/150 13/13 [==============================] - 0s 844us/step - loss: 0.5689 Epoch 67/150 13/13 [==============================] - 0s 921us/step - loss: 0.5684 Epoch 68/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5679 Epoch 69/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5679 Epoch 70/150 13/13 [==============================] - 0s 844us/step - loss: 0.5676 Epoch 71/150 13/13 [==============================] - 0s 997us/step - loss: 0.5669 Epoch 72/150 13/13 [==============================] - 0s 997us/step - loss: 0.5667 Epoch 73/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5667 Epoch 74/150 13/13 [==============================] - 0s 997us/step - loss: 0.5660 Epoch 75/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5668 Epoch 76/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5659 Epoch 77/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5654 Epoch 78/150 13/13 [==============================] - 0s 997us/step - loss: 0.5654 Epoch 79/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5654 Epoch 80/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5651 Epoch 81/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5643 Epoch 82/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5644 Epoch 83/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5646 Epoch 84/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5645 Epoch 85/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5636 Epoch 86/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5636 Epoch 87/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5632 Epoch 88/150 13/13 [==============================] - 0s 921us/step - loss: 0.5635 Epoch 89/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5625 Epoch 90/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5628 Epoch 91/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5623 Epoch 92/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5620 Epoch 93/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5617 Epoch 94/150 13/13 [==============================] - 0s 997us/step - loss: 0.5619 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5615 Epoch 96/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5622 Epoch 97/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5613 Epoch 98/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5607 Epoch 99/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5604 Epoch 100/150 13/13 [==============================] - 0s 997us/step - loss: 0.5607 Epoch 101/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5603 Epoch 102/150 13/13 [==============================] - 0s 920us/step - loss: 0.5602 Epoch 103/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5600 Epoch 104/150 13/13 [==============================] - 0s 997us/step - loss: 0.5607 Epoch 105/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5604 Epoch 106/150 13/13 [==============================] - 0s 997us/step - loss: 0.5598 Epoch 107/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5597 Epoch 108/150 13/13 [==============================] - 0s 844us/step - loss: 0.5599 Epoch 109/150 13/13 [==============================] - 0s 921us/step - loss: 0.5594 Epoch 110/150 13/13 [==============================] - 0s 997us/step - loss: 0.5595 Epoch 111/150 13/13 [==============================] - 0s 921us/step - loss: 0.5599 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.5589 Epoch 113/150 13/13 [==============================] - 0s 921us/step - loss: 0.5593 Epoch 114/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5582 Epoch 115/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5585 Epoch 116/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5581 Epoch 117/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5580 Epoch 118/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5578 Epoch 119/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5571 Epoch 120/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5580 Epoch 121/150 13/13 [==============================] - 0s 997us/step - loss: 0.5569 Epoch 122/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5563 Epoch 123/150 13/13 [==============================] - 0s 997us/step - loss: 0.5565 Epoch 124/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5558 Epoch 125/150 13/13 [==============================] - 0s 921us/step - loss: 0.5560 Epoch 126/150 13/13 [==============================] - 0s 997us/step - loss: 0.5550 Epoch 127/150 13/13 [==============================] - 0s 997us/step - loss: 0.5546 Epoch 128/150 13/13 [==============================] - ETA: 0s - loss: 0.475 - 0s 1ms/step - loss: 0.5544 Epoch 129/150 13/13 [==============================] - 0s 921us/step - loss: 0.5541 Epoch 130/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5540 Epoch 131/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5533 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5535 Epoch 133/150 13/13 [==============================] - 0s 921us/step - loss: 0.5523 Epoch 134/150 13/13 [==============================] - 0s 997us/step - loss: 0.5521 Epoch 135/150 13/13 [==============================] - 0s 921us/step - loss: 0.5522 Epoch 136/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5515 Epoch 137/150 13/13 [==============================] - 0s 997us/step - loss: 0.5511 Epoch 138/150 13/13 [==============================] - 0s 997us/step - loss: 0.5505 Epoch 139/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5505 Epoch 140/150 13/13 [==============================] - 0s 921us/step - loss: 0.5504 Epoch 141/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5496 Epoch 142/150 13/13 [==============================] - 0s 997us/step - loss: 0.5491 Epoch 143/150 13/13 [==============================] - 0s 997us/step - loss: 0.5491 Epoch 144/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5484 Epoch 145/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5480 Epoch 146/150 13/13 [==============================] - 0s 997us/step - loss: 0.5479 Epoch 147/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5493 Epoch 148/150 13/13 [==============================] - 0s 997us/step - loss: 0.5462 Epoch 149/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5470 Epoch 150/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5472 ###################################################################### Accuracy: 73.42973190062783 Epoch 1/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9768 Epoch 2/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9752 Epoch 3/150 13/13 [==============================] - 0s 997us/step - loss: 0.9720 Epoch 4/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9646 Epoch 5/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9514 Epoch 6/150 13/13 [==============================] - 0s 997us/step - loss: 0.9304 Epoch 7/150 13/13 [==============================] - 0s 921us/step - loss: 0.8989 Epoch 8/150 13/13 [==============================] - 0s 997us/step - loss: 0.8593 Epoch 9/150 13/13 [==============================] - 0s 921us/step - loss: 0.8161 Epoch 10/150 13/13 [==============================] - 0s 997us/step - loss: 0.7689 Epoch 11/150 13/13 [==============================] - 0s 844us/step - loss: 0.7304 Epoch 12/150 13/13 [==============================] - 0s 844us/step - loss: 0.7004 Epoch 13/150 13/13 [==============================] - 0s 921us/step - loss: 0.6793 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.6641 Epoch 15/150 13/13 [==============================] - 0s 921us/step - loss: 0.6504 Epoch 16/150 13/13 [==============================] - 0s 997us/step - loss: 0.6422 Epoch 17/150 13/13 [==============================] - 0s 997us/step - loss: 0.6359 Epoch 18/150 13/13 [==============================] - 0s 997us/step - loss: 0.6316 Epoch 19/150 13/13 [==============================] - 0s 997us/step - loss: 0.6280 Epoch 20/150 13/13 [==============================] - 0s 921us/step - loss: 0.6253 Epoch 21/150 13/13 [==============================] - 0s 997us/step - loss: 0.6242 Epoch 22/150 13/13 [==============================] - 0s 997us/step - loss: 0.6217 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.6206 Epoch 24/150 13/13 [==============================] - 0s 921us/step - loss: 0.6191 Epoch 25/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6180 Epoch 26/150 13/13 [==============================] - 0s 997us/step - loss: 0.6168 Epoch 27/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6155 Epoch 28/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6148 Epoch 29/150 13/13 [==============================] - 0s 921us/step - loss: 0.6138 Epoch 30/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6131 Epoch 31/150 13/13 [==============================] - 0s 997us/step - loss: 0.6124 Epoch 32/150 13/13 [==============================] - 0s 921us/step - loss: 0.6112 Epoch 33/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6114 Epoch 34/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6106 Epoch 35/150 13/13 [==============================] - 0s 997us/step - loss: 0.6096 Epoch 36/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6093 Epoch 37/150 13/13 [==============================] - 0s 997us/step - loss: 0.6084 Epoch 38/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6082 Epoch 39/150 13/13 [==============================] - 0s 844us/step - loss: 0.6075 Epoch 40/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6071 Epoch 41/150 13/13 [==============================] - 0s 997us/step - loss: 0.6066 Epoch 42/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6062 Epoch 43/150 13/13 [==============================] - 0s 921us/step - loss: 0.6052 Epoch 44/150 13/13 [==============================] - 0s 997us/step - loss: 0.6061 Epoch 45/150 13/13 [==============================] - 0s 921us/step - loss: 0.6042 Epoch 46/150 13/13 [==============================] - 0s 997us/step - loss: 0.6043 Epoch 47/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6045 Epoch 48/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6029 Epoch 49/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6028 Epoch 50/150 13/13 [==============================] - 0s 997us/step - loss: 0.6023 Epoch 51/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6021 Epoch 52/150 13/13 [==============================] - 0s 997us/step - loss: 0.6016 Epoch 53/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6013 Epoch 54/150 13/13 [==============================] - 0s 997us/step - loss: 0.6004 Epoch 55/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6002 Epoch 56/150 13/13 [==============================] - 0s 921us/step - loss: 0.5997 Epoch 57/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5993 Epoch 58/150 13/13 [==============================] - 0s 920us/step - loss: 0.5989 Epoch 59/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5994 Epoch 60/150 13/13 [==============================] - 0s 997us/step - loss: 0.5984 Epoch 61/150 13/13 [==============================] - ETA: 0s - loss: 0.646 - 0s 921us/step - loss: 0.5977 Epoch 62/150 13/13 [==============================] - 0s 921us/step - loss: 0.5973 Epoch 63/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5972 Epoch 64/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5964 Epoch 65/150 13/13 [==============================] - 0s 921us/step - loss: 0.5955 Epoch 66/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5957 Epoch 67/150 13/13 [==============================] - 0s 997us/step - loss: 0.5953 Epoch 68/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5941 Epoch 69/150 13/13 [==============================] - 0s 997us/step - loss: 0.5940 Epoch 70/150 13/13 [==============================] - 0s 997us/step - loss: 0.5936 Epoch 71/150 13/13 [==============================] - 0s 997us/step - loss: 0.5927 Epoch 72/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5931 Epoch 73/150 13/13 [==============================] - 0s 997us/step - loss: 0.5917 Epoch 74/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5916 Epoch 75/150 13/13 [==============================] - 0s 997us/step - loss: 0.5910 Epoch 76/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5897 Epoch 77/150 13/13 [==============================] - 0s 921us/step - loss: 0.5893 Epoch 78/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5889 Epoch 79/150 13/13 [==============================] - 0s 997us/step - loss: 0.5881 Epoch 80/150 13/13 [==============================] - 0s 844us/step - loss: 0.5876 Epoch 81/150 13/13 [==============================] - 0s 921us/step - loss: 0.5870 Epoch 82/150 13/13 [==============================] - 0s 921us/step - loss: 0.5864 Epoch 83/150 13/13 [==============================] - 0s 844us/step - loss: 0.5860 Epoch 84/150 13/13 [==============================] - 0s 921us/step - loss: 0.5855 Epoch 85/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5854 Epoch 86/150 13/13 [==============================] - 0s 921us/step - loss: 0.5843 Epoch 87/150 13/13 [==============================] - 0s 921us/step - loss: 0.5840 Epoch 88/150 13/13 [==============================] - 0s 997us/step - loss: 0.5834 Epoch 89/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5828 Epoch 90/150 13/13 [==============================] - 0s 921us/step - loss: 0.5825 Epoch 91/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5823 Epoch 92/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5811 Epoch 93/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5803 Epoch 94/150 13/13 [==============================] - 0s 921us/step - loss: 0.5800 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5790 Epoch 96/150 13/13 [==============================] - 0s 921us/step - loss: 0.5783 Epoch 97/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5783 Epoch 98/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5776 Epoch 99/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5769 Epoch 100/150 13/13 [==============================] - 0s 921us/step - loss: 0.5763 Epoch 101/150 13/13 [==============================] - 0s 997us/step - loss: 0.5759 Epoch 102/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5751 Epoch 103/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5743 Epoch 104/150 13/13 [==============================] - 0s 997us/step - loss: 0.5741 Epoch 105/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5737 Epoch 106/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5734 Epoch 107/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5729 Epoch 108/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5734 Epoch 109/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5722 Epoch 110/150 13/13 [==============================] - 0s 921us/step - loss: 0.5712 Epoch 111/150 13/13 [==============================] - 0s 997us/step - loss: 0.5709 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.5705 Epoch 113/150 13/13 [==============================] - 0s 997us/step - loss: 0.5699 Epoch 114/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5698 Epoch 115/150 13/13 [==============================] - 0s 921us/step - loss: 0.5690 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.5687 Epoch 117/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5686 Epoch 118/150 13/13 [==============================] - 0s 997us/step - loss: 0.5686 Epoch 119/150 13/13 [==============================] - 0s 921us/step - loss: 0.5674 Epoch 120/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5674 Epoch 121/150 13/13 [==============================] - 0s 997us/step - loss: 0.5668 Epoch 122/150 13/13 [==============================] - 0s 921us/step - loss: 0.5664 Epoch 123/150 13/13 [==============================] - 0s 921us/step - loss: 0.5662 Epoch 124/150 13/13 [==============================] - 0s 997us/step - loss: 0.5659 Epoch 125/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5659 Epoch 126/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5653 Epoch 127/150 13/13 [==============================] - 0s 997us/step - loss: 0.5650 Epoch 128/150 13/13 [==============================] - 0s 997us/step - loss: 0.5647 Epoch 129/150 13/13 [==============================] - 0s 997us/step - loss: 0.5659 Epoch 130/150 13/13 [==============================] - 0s 997us/step - loss: 0.5637 Epoch 131/150 13/13 [==============================] - 0s 921us/step - loss: 0.5659 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5654 Epoch 133/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5631 Epoch 134/150 13/13 [==============================] - 0s 997us/step - loss: 0.5632 Epoch 135/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5623 Epoch 136/150 13/13 [==============================] - 0s 997us/step - loss: 0.5624 Epoch 137/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5618 Epoch 138/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5617 Epoch 139/150 13/13 [==============================] - 0s 921us/step - loss: 0.5615 Epoch 140/150 13/13 [==============================] - 0s 997us/step - loss: 0.5613 Epoch 141/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5607 Epoch 142/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5607 Epoch 143/150 13/13 [==============================] - 0s 921us/step - loss: 0.5604 Epoch 144/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5605 Epoch 145/150 13/13 [==============================] - 0s 997us/step - loss: 0.5607 Epoch 146/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5602 Epoch 147/150 13/13 [==============================] - 0s 997us/step - loss: 0.5602 Epoch 148/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5593 Epoch 149/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5591 Epoch 150/150 13/13 [==============================] - 0s 921us/step - loss: 0.5591 ###################################################################### Accuracy: 88.95381145654899 Epoch 1/150 13/13 [==============================] - 0s 1ms/step - loss: 1.0185 Epoch 2/150 13/13 [==============================] - 0s 1ms/step - loss: 1.0166 Epoch 3/150 13/13 [==============================] - 0s 940us/step - loss: 1.0120 Epoch 4/150 13/13 [==============================] - 0s 1ms/step - loss: 1.0033 Epoch 5/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9876 Epoch 6/150 13/13 [==============================] - 0s 997us/step - loss: 0.9629 Epoch 7/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9299 Epoch 8/150 13/13 [==============================] - 0s 921us/step - loss: 0.8924 Epoch 9/150 13/13 [==============================] - 0s 1ms/step - loss: 0.8507 Epoch 10/150 13/13 [==============================] - 0s 1ms/step - loss: 0.8129 Epoch 11/150 13/13 [==============================] - 0s 921us/step - loss: 0.7784 Epoch 12/150 13/13 [==============================] - 0s 1ms/step - loss: 0.7496 Epoch 13/150 13/13 [==============================] - 0s 997us/step - loss: 0.7244 Epoch 14/150 13/13 [==============================] - 0s 1ms/step - loss: 0.7008 Epoch 15/150 13/13 [==============================] - 0s 997us/step - loss: 0.6846 Epoch 16/150 13/13 [==============================] - 0s 997us/step - loss: 0.6713 Epoch 17/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6619 Epoch 18/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6553 Epoch 19/150 13/13 [==============================] - 0s 997us/step - loss: 0.6504 Epoch 20/150 13/13 [==============================] - 0s 997us/step - loss: 0.6447 Epoch 21/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6417 Epoch 22/150 13/13 [==============================] - 0s 997us/step - loss: 0.6387 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.6360 Epoch 24/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6338 Epoch 25/150 13/13 [==============================] - 0s 997us/step - loss: 0.6318 Epoch 26/150 13/13 [==============================] - 0s 997us/step - loss: 0.6303 Epoch 27/150 13/13 [==============================] - 0s 997us/step - loss: 0.6276 Epoch 28/150 13/13 [==============================] - 0s 997us/step - loss: 0.6265 Epoch 29/150 13/13 [==============================] - 0s 997us/step - loss: 0.6233 Epoch 30/150 13/13 [==============================] - 0s 844us/step - loss: 0.6219 Epoch 31/150 13/13 [==============================] - 0s 997us/step - loss: 0.6202 Epoch 32/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6190 Epoch 33/150 13/13 [==============================] - 0s 997us/step - loss: 0.6178 Epoch 34/150 13/13 [==============================] - 0s 997us/step - loss: 0.6162 Epoch 35/150 13/13 [==============================] - 0s 921us/step - loss: 0.6153 Epoch 36/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6136 Epoch 37/150 13/13 [==============================] - 0s 997us/step - loss: 0.6123 Epoch 38/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6113 Epoch 39/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6108 Epoch 40/150 13/13 [==============================] - 0s 997us/step - loss: 0.6095 Epoch 41/150 13/13 [==============================] - 0s 997us/step - loss: 0.6082 Epoch 42/150 13/13 [==============================] - 0s 997us/step - loss: 0.6071 Epoch 43/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6065 Epoch 44/150 13/13 [==============================] - 0s 920us/step - loss: 0.6057 Epoch 45/150 13/13 [==============================] - 0s 997us/step - loss: 0.6057 Epoch 46/150 13/13 [==============================] - 0s 997us/step - loss: 0.6038 Epoch 47/150 13/13 [==============================] - 0s 921us/step - loss: 0.6030 Epoch 48/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6023 Epoch 49/150 13/13 [==============================] - 0s 997us/step - loss: 0.6013 Epoch 50/150 13/13 [==============================] - 0s 997us/step - loss: 0.6012 Epoch 51/150 13/13 [==============================] - 0s 920us/step - loss: 0.6002 Epoch 52/150 13/13 [==============================] - 0s 998us/step - loss: 0.5998 Epoch 53/150 13/13 [==============================] - 0s 997us/step - loss: 0.5984 Epoch 54/150 13/13 [==============================] - 0s 997us/step - loss: 0.5986 Epoch 55/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5979 Epoch 56/150 13/13 [==============================] - 0s 998us/step - loss: 0.5977 Epoch 57/150 13/13 [==============================] - 0s 997us/step - loss: 0.5965 Epoch 58/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5957 Epoch 59/150 13/13 [==============================] - 0s 921us/step - loss: 0.5952 Epoch 60/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5949 Epoch 61/150 13/13 [==============================] - 0s 997us/step - loss: 0.5940 Epoch 62/150 13/13 [==============================] - 0s 997us/step - loss: 0.5942 Epoch 63/150 13/13 [==============================] - 0s 920us/step - loss: 0.5935 Epoch 64/150 13/13 [==============================] - 0s 921us/step - loss: 0.5927 Epoch 65/150 13/13 [==============================] - 0s 997us/step - loss: 0.5928 Epoch 66/150 13/13 [==============================] - 0s 921us/step - loss: 0.5919 Epoch 67/150 13/13 [==============================] - 0s 997us/step - loss: 0.5927 Epoch 68/150 13/13 [==============================] - 0s 997us/step - loss: 0.5910 Epoch 69/150 13/13 [==============================] - 0s 997us/step - loss: 0.5910 Epoch 70/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5905 Epoch 71/150 13/13 [==============================] - 0s 921us/step - loss: 0.5898 Epoch 72/150 13/13 [==============================] - 0s 997us/step - loss: 0.5899 Epoch 73/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5893 Epoch 74/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5891 Epoch 75/150 13/13 [==============================] - 0s 921us/step - loss: 0.5885 Epoch 76/150 13/13 [==============================] - 0s 997us/step - loss: 0.5881 Epoch 77/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5880 Epoch 78/150 13/13 [==============================] - 0s 997us/step - loss: 0.5876 Epoch 79/150 13/13 [==============================] - 0s 997us/step - loss: 0.5872 Epoch 80/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5866 Epoch 81/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5866 Epoch 82/150 13/13 [==============================] - 0s 998us/step - loss: 0.5861 Epoch 83/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5855 Epoch 84/150 13/13 [==============================] - 0s 997us/step - loss: 0.5872 Epoch 85/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5854 Epoch 86/150 13/13 [==============================] - 0s 921us/step - loss: 0.5852 Epoch 87/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5846 Epoch 88/150 13/13 [==============================] - 0s 997us/step - loss: 0.5840 Epoch 89/150 13/13 [==============================] - 0s 997us/step - loss: 0.5837 Epoch 90/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5832 Epoch 91/150 13/13 [==============================] - ETA: 0s - loss: 0.680 - 0s 1ms/step - loss: 0.5831 Epoch 92/150 13/13 [==============================] - 0s 997us/step - loss: 0.5826 Epoch 93/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5842 Epoch 94/150 13/13 [==============================] - 0s 997us/step - loss: 0.5823 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5821 Epoch 96/150 13/13 [==============================] - 0s 921us/step - loss: 0.5817 Epoch 97/150 13/13 [==============================] - 0s 997us/step - loss: 0.5812 Epoch 98/150 13/13 [==============================] - 0s 921us/step - loss: 0.5809 Epoch 99/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5805 Epoch 100/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5800 Epoch 101/150 13/13 [==============================] - 0s 997us/step - loss: 0.5801 Epoch 102/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5791 Epoch 103/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5788 Epoch 104/150 13/13 [==============================] - 0s 921us/step - loss: 0.5794 Epoch 105/150 13/13 [==============================] - 0s 921us/step - loss: 0.5792 Epoch 106/150 13/13 [==============================] - 0s 997us/step - loss: 0.5780 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.5772 Epoch 108/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5770 Epoch 109/150 13/13 [==============================] - 0s 997us/step - loss: 0.5764 Epoch 110/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5760 Epoch 111/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5753 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.5753 Epoch 113/150 13/13 [==============================] - 0s 997us/step - loss: 0.5746 Epoch 114/150 13/13 [==============================] - 0s 997us/step - loss: 0.5746 Epoch 115/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5742 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.5739 Epoch 117/150 13/13 [==============================] - 0s 997us/step - loss: 0.5726 Epoch 118/150 13/13 [==============================] - 0s 997us/step - loss: 0.5726 Epoch 119/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5727 Epoch 120/150 13/13 [==============================] - 0s 998us/step - loss: 0.5726 Epoch 121/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5717 Epoch 122/150 13/13 [==============================] - 0s 921us/step - loss: 0.5710 Epoch 123/150 13/13 [==============================] - 0s 921us/step - loss: 0.5712 Epoch 124/150 13/13 [==============================] - 0s 997us/step - loss: 0.5703 Epoch 125/150 13/13 [==============================] - 0s 920us/step - loss: 0.5704 Epoch 126/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5716 Epoch 127/150 13/13 [==============================] - 0s 997us/step - loss: 0.5694 Epoch 128/150 13/13 [==============================] - 0s 997us/step - loss: 0.5686 Epoch 129/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5691 Epoch 130/150 13/13 [==============================] - 0s 997us/step - loss: 0.5712 Epoch 131/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5682 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5677 Epoch 133/150 13/13 [==============================] - 0s 920us/step - loss: 0.5672 Epoch 134/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5672 Epoch 135/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5664 Epoch 136/150 13/13 [==============================] - 0s 997us/step - loss: 0.5669 Epoch 137/150 13/13 [==============================] - 0s 997us/step - loss: 0.5664 Epoch 138/150 13/13 [==============================] - 0s 997us/step - loss: 0.5658 Epoch 139/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5657 Epoch 140/150 13/13 [==============================] - 0s 997us/step - loss: 0.5650 Epoch 141/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5649 Epoch 142/150 13/13 [==============================] - 0s 922us/step - loss: 0.5644 Epoch 143/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5648 Epoch 144/150 13/13 [==============================] - 0s 997us/step - loss: 0.5659 Epoch 145/150 13/13 [==============================] - 0s 997us/step - loss: 0.5638 Epoch 146/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5634 Epoch 147/150 13/13 [==============================] - 0s 997us/step - loss: 0.5636 Epoch 148/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5635 Epoch 149/150 13/13 [==============================] - 0s 921us/step - loss: 0.5633 Epoch 150/150 13/13 [==============================] - 0s 921us/step - loss: 0.5634 ###################################################################### Accuracy: 72.84836346654363 Epoch 1/150 13/13 [==============================] - 0s 1ms/step - loss: 1.0022 Epoch 2/150 13/13 [==============================] - 0s 1ms/step - loss: 1.0006 Epoch 3/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9975 Epoch 4/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9926 Epoch 5/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9848 Epoch 6/150 13/13 [==============================] - 0s 997us/step - loss: 0.9714 Epoch 7/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9526 Epoch 8/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9247 Epoch 9/150 13/13 [==============================] - 0s 844us/step - loss: 0.8896 Epoch 10/150 13/13 [==============================] - 0s 998us/step - loss: 0.8481 Epoch 11/150 13/13 [==============================] - 0s 997us/step - loss: 0.8033 Epoch 12/150 13/13 [==============================] - 0s 997us/step - loss: 0.7578 Epoch 13/150 13/13 [==============================] - 0s 1ms/step - loss: 0.7182 Epoch 14/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6895 Epoch 15/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6646 Epoch 16/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6509 Epoch 17/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6415 Epoch 18/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6363 Epoch 19/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6323 Epoch 20/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6292 Epoch 21/150 13/13 [==============================] - 0s 997us/step - loss: 0.6270 Epoch 22/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6248 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.6229 Epoch 24/150 13/13 [==============================] - 0s 2ms/step - loss: 0.6205 Epoch 25/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6189 Epoch 26/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6165 Epoch 27/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6149 Epoch 28/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6128 Epoch 29/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6110 Epoch 30/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6094 Epoch 31/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6082 Epoch 32/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6065 Epoch 33/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6043 Epoch 34/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6035 Epoch 35/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6020 Epoch 36/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6006 Epoch 37/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5988 Epoch 38/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5975 Epoch 39/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5964 Epoch 40/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5949 Epoch 41/150 13/13 [==============================] - 0s 997us/step - loss: 0.5935 Epoch 42/150 13/13 [==============================] - 0s 997us/step - loss: 0.5930 Epoch 43/150 13/13 [==============================] - 0s 997us/step - loss: 0.5912 Epoch 44/150 13/13 [==============================] - 0s 997us/step - loss: 0.5901 Epoch 45/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5887 Epoch 46/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5878 Epoch 47/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5865 Epoch 48/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5855 Epoch 49/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5849 Epoch 50/150 13/13 [==============================] - 0s 997us/step - loss: 0.5837 Epoch 51/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5825 Epoch 52/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5817 Epoch 53/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5803 Epoch 54/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5793 Epoch 55/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5778 Epoch 56/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5770 Epoch 57/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5758 Epoch 58/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5753 Epoch 59/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5745 Epoch 60/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5734 Epoch 61/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5723 Epoch 62/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5721 Epoch 63/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5704 Epoch 64/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5700 Epoch 65/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5691 Epoch 66/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5672 Epoch 67/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5660 Epoch 68/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5657 Epoch 69/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5637 Epoch 70/150 13/13 [==============================] - ETA: 0s - loss: 0.654 - 0s 1ms/step - loss: 0.5631 Epoch 71/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5641 Epoch 72/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5606 Epoch 73/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5614 Epoch 74/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5599 Epoch 75/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5585 Epoch 76/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5583 Epoch 77/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5572 Epoch 78/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5568 Epoch 79/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5563 Epoch 80/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5552 Epoch 81/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5552 Epoch 82/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5534 Epoch 83/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5533 Epoch 84/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5521 Epoch 85/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5519 Epoch 86/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5512 Epoch 87/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5503 Epoch 88/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5501 Epoch 89/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5490 Epoch 90/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5488 Epoch 91/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5487 Epoch 92/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5474 Epoch 93/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5465 Epoch 94/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5465 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5465 Epoch 96/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5452 Epoch 97/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5445 Epoch 98/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5437 Epoch 99/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5444 Epoch 100/150 13/13 [==============================] - ETA: 0s - loss: 0.486 - 0s 1ms/step - loss: 0.5428 Epoch 101/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5423 Epoch 102/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5417 Epoch 103/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5410 Epoch 104/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5407 Epoch 105/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5402 Epoch 106/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5400 Epoch 107/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5410 Epoch 108/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5393 Epoch 109/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5393 Epoch 110/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5383 Epoch 111/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5377 Epoch 112/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5384 Epoch 113/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5379 Epoch 114/150 13/13 [==============================] - 0s 921us/step - loss: 0.5365 Epoch 115/150 13/13 [==============================] - 0s 921us/step - loss: 0.5368 Epoch 116/150 13/13 [==============================] - 0s 997us/step - loss: 0.5360 Epoch 117/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5352 Epoch 118/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5356 Epoch 119/150 13/13 [==============================] - 0s 997us/step - loss: 0.5346 Epoch 120/150 13/13 [==============================] - 0s 997us/step - loss: 0.5340 Epoch 121/150 13/13 [==============================] - 0s 997us/step - loss: 0.5338 Epoch 122/150 13/13 [==============================] - 0s 997us/step - loss: 0.5332 Epoch 123/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5338 Epoch 124/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5329 Epoch 125/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5318 Epoch 126/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5323 Epoch 127/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5316 Epoch 128/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5306 Epoch 129/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5303 Epoch 130/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5306 Epoch 131/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5294 Epoch 132/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5292 Epoch 133/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5286 Epoch 134/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5294 Epoch 135/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5277 Epoch 136/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5281 Epoch 137/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5273 Epoch 138/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5271 Epoch 139/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5269 Epoch 140/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5262 Epoch 141/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5276 Epoch 142/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5259 Epoch 143/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5253 Epoch 144/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5252 Epoch 145/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5245 Epoch 146/150 13/13 [==============================] - 0s 3ms/step - loss: 0.5237 Epoch 147/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5235 Epoch 148/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5235 Epoch 149/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5236 Epoch 150/150 13/13 [==============================] - 0s 997us/step - loss: 0.5222 ###################################################################### Accuracy: 75.09697538475608 Epoch 1/10 152/152 [==============================] - 0s 1ms/step - loss: 1.0076 Epoch 2/10 152/152 [==============================] - 0s 1ms/step - loss: 0.8865 Epoch 3/10 152/152 [==============================] - 0s 925us/step - loss: 0.7136 Epoch 4/10 152/152 [==============================] - 0s 589us/step - loss: 0.6495 Epoch 5/10 152/152 [==============================] - 0s 618us/step - loss: 0.6333 Epoch 6/10 152/152 [==============================] - 0s 598us/step - loss: 0.6256 Epoch 7/10 152/152 [==============================] - 0s 516us/step - loss: 0.6196 Epoch 8/10 152/152 [==============================] - 0s 669us/step - loss: 0.6111 Epoch 9/10 152/152 [==============================] - 0s 615us/step - loss: 0.6080 Epoch 10/10 152/152 [==============================] - 0s 521us/step - loss: 0.6023 ###################################################################### Accuracy: 67.64892520018077 Epoch 1/10 153/153 [==============================] - 0s 929us/step - loss: 0.9736 Epoch 2/10 153/153 [==============================] - 0s 880us/step - loss: 0.8745 Epoch 3/10 153/153 [==============================] - 0s 756us/step - loss: 0.7365 Epoch 4/10 153/153 [==============================] - 0s 584us/step - loss: 0.6684 Epoch 5/10 153/153 [==============================] - 0s 655us/step - loss: 0.6464 Epoch 6/10 153/153 [==============================] - 0s 621us/step - loss: 0.6382 Epoch 7/10 153/153 [==============================] - 0s 612us/step - loss: 0.6303 Epoch 8/10 153/153 [==============================] - 0s 619us/step - loss: 0.6259 Epoch 9/10 153/153 [==============================] - 0s 692us/step - loss: 0.6204 Epoch 10/10 153/153 [==============================] - 0s 815us/step - loss: 0.6147 ###################################################################### Accuracy: 74.5135253783611 Epoch 1/10 153/153 [==============================] - 0s 857us/step - loss: 0.9594 Epoch 2/10 153/153 [==============================] - 0s 954us/step - loss: 0.8487 Epoch 3/10 153/153 [==============================] - 0s 828us/step - loss: 0.7487 Epoch 4/10 153/153 [==============================] - 0s 776us/step - loss: 0.7085 Epoch 5/10 153/153 [==============================] - 0s 612us/step - loss: 0.6801 Epoch 6/10 153/153 [==============================] - 0s 722us/step - loss: 0.6669 Epoch 7/10 153/153 [==============================] - 0s 796us/step - loss: 0.6532 Epoch 8/10 153/153 [==============================] - 0s 732us/step - loss: 0.6460 Epoch 9/10 153/153 [==============================] - 0s 718us/step - loss: 0.6372 Epoch 10/10 153/153 [==============================] - 0s 609us/step - loss: 0.6304 ###################################################################### Accuracy: 98.07881884974282 Epoch 1/10 153/153 [==============================] - 0s 804us/step - loss: 1.0099 Epoch 2/10 153/153 [==============================] - 0s 963us/step - loss: 0.9092 Epoch 3/10 153/153 [==============================] - 0s 743us/step - loss: 0.7475 Epoch 4/10 153/153 [==============================] - 0s 664us/step - loss: 0.6724 Epoch 5/10 153/153 [==============================] - 0s 785us/step - loss: 0.6492 Epoch 6/10 153/153 [==============================] - 0s 660us/step - loss: 0.6422 Epoch 7/10 153/153 [==============================] - 0s 783us/step - loss: 0.6354 Epoch 8/10 153/153 [==============================] - 0s 739us/step - loss: 0.6310 Epoch 9/10 153/153 [==============================] - 0s 607us/step - loss: 0.6268 Epoch 10/10 153/153 [==============================] - 0s 747us/step - loss: 0.6219 ###################################################################### Accuracy: 79.91091085719523 Epoch 1/10 153/153 [==============================] - 0s 841us/step - loss: 0.9856 Epoch 2/10 153/153 [==============================] - 0s 802us/step - loss: 0.8557 Epoch 3/10 153/153 [==============================] - 0s 769us/step - loss: 0.7141 Epoch 4/10 153/153 [==============================] - 0s 854us/step - loss: 0.6549 Epoch 5/10 153/153 [==============================] - 0s 880us/step - loss: 0.6355 Epoch 6/10 153/153 [==============================] - 0s 802us/step - loss: 0.6272 Epoch 7/10 153/153 [==============================] - 0s 841us/step - loss: 0.6203 Epoch 8/10 153/153 [==============================] - 0s 971us/step - loss: 0.6139 Epoch 9/10 153/153 [==============================] - 0s 860us/step - loss: 0.6073 Epoch 10/10 153/153 [==============================] - 0s 815us/step - loss: 0.6015 ###################################################################### Accuracy: 78.29149443944543 Epoch 1/20 152/152 [==============================] - 0s 787us/step - loss: 0.9998 Epoch 2/20 152/152 [==============================] - 0s 761us/step - loss: 0.8749 Epoch 3/20 152/152 [==============================] - 0s 755us/step - loss: 0.7212 Epoch 4/20 152/152 [==============================] - 0s 728us/step - loss: 0.6527 Epoch 5/20 152/152 [==============================] - 0s 709us/step - loss: 0.6348 Epoch 6/20 152/152 [==============================] - 0s 748us/step - loss: 0.6262 Epoch 7/20 152/152 [==============================] - 0s 741us/step - loss: 0.6185 Epoch 8/20 152/152 [==============================] - 0s 715us/step - loss: 0.6107 Epoch 9/20 152/152 [==============================] - 0s 682us/step - loss: 0.6069 Epoch 10/20 152/152 [==============================] - 0s 748us/step - loss: 0.6039 Epoch 11/20 152/152 [==============================] - 0s 755us/step - loss: 0.5989 Epoch 12/20 152/152 [==============================] - 0s 748us/step - loss: 0.5947 Epoch 13/20 152/152 [==============================] - 0s 728us/step - loss: 0.5934 Epoch 14/20 152/152 [==============================] - 0s 761us/step - loss: 0.5904 Epoch 15/20 152/152 [==============================] - 0s 741us/step - loss: 0.5842 Epoch 16/20 152/152 [==============================] - 0s 728us/step - loss: 0.5857 Epoch 17/20 152/152 [==============================] - 0s 741us/step - loss: 0.5827 Epoch 18/20 152/152 [==============================] - 0s 755us/step - loss: 0.5811 Epoch 19/20 152/152 [==============================] - 0s 774us/step - loss: 0.5792 Epoch 20/20 152/152 [==============================] - 0s 755us/step - loss: 0.5785 ###################################################################### Accuracy: 67.32409249563521 Epoch 1/20 153/153 [==============================] - 0s 782us/step - loss: 0.9626 Epoch 2/20 153/153 [==============================] - 0s 743us/step - loss: 0.8191 Epoch 3/20 153/153 [==============================] - 0s 782us/step - loss: 0.6861 Epoch 4/20 153/153 [==============================] - 0s 913us/step - loss: 0.6476 Epoch 5/20 153/153 [==============================] - 0s 945us/step - loss: 0.6365 Epoch 6/20 153/153 [==============================] - 0s 893us/step - loss: 0.6282 Epoch 7/20 153/153 [==============================] - 0s 919us/step - loss: 0.6241 Epoch 8/20 153/153 [==============================] - 0s 821us/step - loss: 0.6190 Epoch 9/20 153/153 [==============================] - 0s 815us/step - loss: 0.6144 Epoch 10/20 153/153 [==============================] - 0s 743us/step - loss: 0.6089 Epoch 11/20 153/153 [==============================] - 0s 776us/step - loss: 0.6038 Epoch 12/20 153/153 [==============================] - 0s 763us/step - loss: 0.6011 Epoch 13/20 153/153 [==============================] - 0s 789us/step - loss: 0.5967 Epoch 14/20 153/153 [==============================] - 0s 776us/step - loss: 0.5941 Epoch 15/20 153/153 [==============================] - 0s 782us/step - loss: 0.5912 Epoch 16/20 153/153 [==============================] - 0s 789us/step - loss: 0.5881 Epoch 17/20 153/153 [==============================] - 0s 756us/step - loss: 0.5843 Epoch 18/20 153/153 [==============================] - 0s 789us/step - loss: 0.5834 Epoch 19/20 153/153 [==============================] - 0s 769us/step - loss: 0.5819 Epoch 20/20 153/153 [==============================] - 0s 756us/step - loss: 0.5779 ###################################################################### Accuracy: 74.7682782598474 Epoch 1/20 1/153 [..............................] - ETA: 0s - loss: 0.8705WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 153/153 [==============================] - 0s 821us/step - loss: 0.9628 Epoch 2/20 153/153 [==============================] - 0s 789us/step - loss: 0.8457 Epoch 3/20 153/153 [==============================] - 0s 750us/step - loss: 0.7008 Epoch 4/20 153/153 [==============================] - 0s 802us/step - loss: 0.6426 Epoch 5/20 153/153 [==============================] - 0s 756us/step - loss: 0.6237 Epoch 6/20 153/153 [==============================] - 0s 776us/step - loss: 0.6170 Epoch 7/20 153/153 [==============================] - 0s 776us/step - loss: 0.6121 Epoch 8/20 153/153 [==============================] - 0s 789us/step - loss: 0.6053 Epoch 9/20 153/153 [==============================] - 0s 756us/step - loss: 0.6008 Epoch 10/20 153/153 [==============================] - 0s 763us/step - loss: 0.5951 Epoch 11/20 153/153 [==============================] - 0s 776us/step - loss: 0.5924 Epoch 12/20 153/153 [==============================] - 0s 743us/step - loss: 0.5896 Epoch 13/20 153/153 [==============================] - 0s 763us/step - loss: 0.5869 Epoch 14/20 153/153 [==============================] - 0s 789us/step - loss: 0.5833 Epoch 15/20 153/153 [==============================] - 0s 763us/step - loss: 0.5802 Epoch 16/20 153/153 [==============================] - 0s 763us/step - loss: 0.5777 Epoch 17/20 153/153 [==============================] - 0s 763us/step - loss: 0.5760 Epoch 18/20 153/153 [==============================] - 0s 776us/step - loss: 0.5731 Epoch 19/20 153/153 [==============================] - 0s 776us/step - loss: 0.5723 Epoch 20/20 153/153 [==============================] - 0s 789us/step - loss: 0.5712 ###################################################################### Accuracy: 90.39583422110425 Epoch 1/20 153/153 [==============================] - 0s 800us/step - loss: 1.0058 Epoch 2/20 153/153 [==============================] - 0s 743us/step - loss: 0.8873 Epoch 3/20 153/153 [==============================] - 0s 769us/step - loss: 0.7236 Epoch 4/20 153/153 [==============================] - 0s 789us/step - loss: 0.6683 Epoch 5/20 153/153 [==============================] - 0s 750us/step - loss: 0.6575 Epoch 6/20 153/153 [==============================] - 0s 789us/step - loss: 0.6507 Epoch 7/20 153/153 [==============================] - 0s 821us/step - loss: 0.6454 Epoch 8/20 153/153 [==============================] - 0s 808us/step - loss: 0.6399 Epoch 9/20 153/153 [==============================] - 0s 776us/step - loss: 0.6369 Epoch 10/20 153/153 [==============================] - 0s 795us/step - loss: 0.6337 Epoch 11/20 153/153 [==============================] - 0s 782us/step - loss: 0.6270 Epoch 12/20 153/153 [==============================] - 0s 808us/step - loss: 0.6261 Epoch 13/20 153/153 [==============================] - 0s 769us/step - loss: 0.6236 Epoch 14/20 153/153 [==============================] - 0s 802us/step - loss: 0.6207 Epoch 15/20 153/153 [==============================] - 0s 769us/step - loss: 0.6171 Epoch 16/20 153/153 [==============================] - 0s 776us/step - loss: 0.6147 Epoch 17/20 153/153 [==============================] - 0s 815us/step - loss: 0.6130 Epoch 18/20 153/153 [==============================] - 0s 789us/step - loss: 0.6090 Epoch 19/20 153/153 [==============================] - 0s 776us/step - loss: 0.6096 Epoch 20/20 153/153 [==============================] - 0s 795us/step - loss: 0.6076 ###################################################################### Accuracy: 76.09749607836498 Epoch 1/20 153/153 [==============================] - 0s 769us/step - loss: 0.9765 Epoch 2/20 153/153 [==============================] - 0s 743us/step - loss: 0.8155 Epoch 3/20 153/153 [==============================] - 0s 750us/step - loss: 0.6769 Epoch 4/20 153/153 [==============================] - 0s 763us/step - loss: 0.6456 Epoch 5/20 153/153 [==============================] - 0s 769us/step - loss: 0.6384 Epoch 6/20 153/153 [==============================] - 0s 782us/step - loss: 0.6333 Epoch 7/20 153/153 [==============================] - 0s 808us/step - loss: 0.6296 Epoch 8/20 153/153 [==============================] - 0s 782us/step - loss: 0.6260 Epoch 9/20 153/153 [==============================] - 0s 737us/step - loss: 0.6236 Epoch 10/20 153/153 [==============================] - 0s 750us/step - loss: 0.6199 Epoch 11/20 153/153 [==============================] - 0s 756us/step - loss: 0.6169 Epoch 12/20 153/153 [==============================] - 0s 776us/step - loss: 0.6129 Epoch 13/20 153/153 [==============================] - 0s 756us/step - loss: 0.6097 Epoch 14/20 153/153 [==============================] - 0s 730us/step - loss: 0.6081 Epoch 15/20 153/153 [==============================] - 0s 763us/step - loss: 0.6029 Epoch 16/20 153/153 [==============================] - 0s 763us/step - loss: 0.5999 Epoch 17/20 153/153 [==============================] - 0s 802us/step - loss: 0.5981 Epoch 18/20 153/153 [==============================] - 0s 769us/step - loss: 0.5948 Epoch 19/20 153/153 [==============================] - 0s 769us/step - loss: 0.5929 Epoch 20/20 153/153 [==============================] - 0s 763us/step - loss: 0.5903 ###################################################################### Accuracy: 71.71014889147312 Epoch 1/50 152/152 [==============================] - 0s 785us/step - loss: 1.0107 Epoch 2/50 152/152 [==============================] - 0s 720us/step - loss: 0.9223 Epoch 3/50 152/152 [==============================] - 0s 735us/step - loss: 0.7675 Epoch 4/50 152/152 [==============================] - 0s 709us/step - loss: 0.6709 Epoch 5/50 152/152 [==============================] - 0s 728us/step - loss: 0.6447 Epoch 6/50 152/152 [==============================] - 0s 735us/step - loss: 0.6350 Epoch 7/50 152/152 [==============================] - 0s 735us/step - loss: 0.6280 Epoch 8/50 152/152 [==============================] - 0s 761us/step - loss: 0.6206 Epoch 9/50 152/152 [==============================] - 0s 741us/step - loss: 0.6158 Epoch 10/50 152/152 [==============================] - 0s 761us/step - loss: 0.6081 Epoch 11/50 152/152 [==============================] - 0s 755us/step - loss: 0.6050 Epoch 12/50 152/152 [==============================] - 0s 735us/step - loss: 0.5994 Epoch 13/50 152/152 [==============================] - 0s 748us/step - loss: 0.5953 Epoch 14/50 152/152 [==============================] - 0s 735us/step - loss: 0.5900 Epoch 15/50 152/152 [==============================] - 0s 741us/step - loss: 0.5894 Epoch 16/50 152/152 [==============================] - 0s 768us/step - loss: 0.5859 Epoch 17/50 152/152 [==============================] - 0s 774us/step - loss: 0.5837 Epoch 18/50 152/152 [==============================] - 0s 768us/step - loss: 0.5825 0s - loss: 0.585 Epoch 19/50 152/152 [==============================] - 0s 761us/step - loss: 0.5799 Epoch 20/50 152/152 [==============================] - 0s 715us/step - loss: 0.5787 Epoch 21/50 152/152 [==============================] - 0s 761us/step - loss: 0.5770 Epoch 22/50 152/152 [==============================] - 0s 728us/step - loss: 0.5752 Epoch 23/50 152/152 [==============================] - 0s 781us/step - loss: 0.5712 Epoch 24/50 152/152 [==============================] - 0s 755us/step - loss: 0.5731 Epoch 25/50 152/152 [==============================] - 0s 715us/step - loss: 0.5696 Epoch 26/50 152/152 [==============================] - 0s 748us/step - loss: 0.5690 Epoch 27/50 152/152 [==============================] - 0s 755us/step - loss: 0.5673 Epoch 28/50 152/152 [==============================] - 0s 748us/step - loss: 0.5674 Epoch 29/50 152/152 [==============================] - 0s 755us/step - loss: 0.5649 Epoch 30/50 152/152 [==============================] - 0s 748us/step - loss: 0.5657 Epoch 31/50 152/152 [==============================] - 0s 761us/step - loss: 0.5649 Epoch 32/50 152/152 [==============================] - 0s 774us/step - loss: 0.5636 Epoch 33/50 152/152 [==============================] - 0s 755us/step - loss: 0.5630 Epoch 34/50 152/152 [==============================] - 0s 722us/step - loss: 0.5618 Epoch 35/50 152/152 [==============================] - 0s 768us/step - loss: 0.5605 Epoch 36/50 152/152 [==============================] - 0s 787us/step - loss: 0.5594 Epoch 37/50 152/152 [==============================] - 0s 735us/step - loss: 0.5575 Epoch 38/50 152/152 [==============================] - 0s 761us/step - loss: 0.5581 Epoch 39/50 152/152 [==============================] - 0s 728us/step - loss: 0.5571 Epoch 40/50 152/152 [==============================] - 0s 735us/step - loss: 0.5544 Epoch 41/50 152/152 [==============================] - 0s 794us/step - loss: 0.5549 Epoch 42/50 152/152 [==============================] - 0s 761us/step - loss: 0.5543 Epoch 43/50 152/152 [==============================] - 0s 741us/step - loss: 0.5524 Epoch 44/50 152/152 [==============================] - 0s 781us/step - loss: 0.5521 Epoch 45/50 152/152 [==============================] - 0s 728us/step - loss: 0.5491 Epoch 46/50 152/152 [==============================] - 0s 761us/step - loss: 0.5530 Epoch 47/50 152/152 [==============================] - 0s 748us/step - loss: 0.5488 Epoch 48/50 152/152 [==============================] - 0s 735us/step - loss: 0.5497 Epoch 49/50 152/152 [==============================] - 0s 768us/step - loss: 0.5480 Epoch 50/50 152/152 [==============================] - 0s 768us/step - loss: 0.5480 ###################################################################### Accuracy: 73.70897025714122 Epoch 1/50 153/153 [==============================] - 0s 789us/step - loss: 0.9694 Epoch 2/50 153/153 [==============================] - 0s 782us/step - loss: 0.8435 Epoch 3/50 153/153 [==============================] - 0s 782us/step - loss: 0.7017 Epoch 4/50 153/153 [==============================] - 0s 756us/step - loss: 0.6506 Epoch 5/50 153/153 [==============================] - 0s 776us/step - loss: 0.6388 Epoch 6/50 153/153 [==============================] - 0s 776us/step - loss: 0.6317 Epoch 7/50 153/153 [==============================] - 0s 782us/step - loss: 0.6272 Epoch 8/50 153/153 [==============================] - 0s 789us/step - loss: 0.6197 Epoch 9/50 153/153 [==============================] - 0s 750us/step - loss: 0.6173 Epoch 10/50 153/153 [==============================] - 0s 776us/step - loss: 0.6125 Epoch 11/50 153/153 [==============================] - 0s 821us/step - loss: 0.6062 Epoch 12/50 153/153 [==============================] - 0s 750us/step - loss: 0.6026 Epoch 13/50 153/153 [==============================] - 0s 756us/step - loss: 0.5995 Epoch 14/50 153/153 [==============================] - 0s 776us/step - loss: 0.5962 Epoch 15/50 153/153 [==============================] - 0s 776us/step - loss: 0.5935 Epoch 16/50 153/153 [==============================] - 0s 795us/step - loss: 0.5906 Epoch 17/50 153/153 [==============================] - 0s 795us/step - loss: 0.5878 Epoch 18/50 153/153 [==============================] - 0s 795us/step - loss: 0.5865 Epoch 19/50 153/153 [==============================] - 0s 763us/step - loss: 0.5835 Epoch 20/50 153/153 [==============================] - 0s 776us/step - loss: 0.5801 Epoch 21/50 153/153 [==============================] - 0s 802us/step - loss: 0.5824 Epoch 22/50 153/153 [==============================] - 0s 743us/step - loss: 0.5797 Epoch 23/50 153/153 [==============================] - 0s 756us/step - loss: 0.5793 Epoch 24/50 153/153 [==============================] - 0s 756us/step - loss: 0.5778 Epoch 25/50 153/153 [==============================] - 0s 763us/step - loss: 0.5782 Epoch 26/50 153/153 [==============================] - 0s 743us/step - loss: 0.5752 Epoch 27/50 153/153 [==============================] - 0s 795us/step - loss: 0.5745 Epoch 28/50 153/153 [==============================] - 0s 776us/step - loss: 0.5743 Epoch 29/50 153/153 [==============================] - 0s 750us/step - loss: 0.5719 Epoch 30/50 153/153 [==============================] - 0s 756us/step - loss: 0.5728 Epoch 31/50 153/153 [==============================] - 0s 776us/step - loss: 0.5693 Epoch 32/50 153/153 [==============================] - 0s 802us/step - loss: 0.5719 Epoch 33/50 153/153 [==============================] - 0s 782us/step - loss: 0.5689 Epoch 34/50 153/153 [==============================] - 0s 743us/step - loss: 0.5693 Epoch 35/50 153/153 [==============================] - 0s 782us/step - loss: 0.5669 Epoch 36/50 153/153 [==============================] - 0s 750us/step - loss: 0.5683 Epoch 37/50 153/153 [==============================] - 0s 763us/step - loss: 0.5658 Epoch 38/50 153/153 [==============================] - 0s 743us/step - loss: 0.5670 Epoch 39/50 153/153 [==============================] - 0s 769us/step - loss: 0.5656 Epoch 40/50 153/153 [==============================] - 0s 789us/step - loss: 0.5635 Epoch 41/50 153/153 [==============================] - 0s 750us/step - loss: 0.5658 Epoch 42/50 153/153 [==============================] - 0s 763us/step - loss: 0.5644 Epoch 43/50 153/153 [==============================] - 0s 795us/step - loss: 0.5646 Epoch 44/50 153/153 [==============================] - 0s 789us/step - loss: 0.5632 Epoch 45/50 153/153 [==============================] - 0s 802us/step - loss: 0.5607 Epoch 46/50 153/153 [==============================] - 0s 789us/step - loss: 0.5617 Epoch 47/50 153/153 [==============================] - 0s 769us/step - loss: 0.5608 Epoch 48/50 153/153 [==============================] - 0s 782us/step - loss: 0.5583 Epoch 49/50 153/153 [==============================] - 0s 776us/step - loss: 0.5600 Epoch 50/50 153/153 [==============================] - 0s 789us/step - loss: 0.5574 ###################################################################### Accuracy: 74.89613452258146 Epoch 1/50 153/153 [==============================] - 0s 763us/step - loss: 0.9444 Epoch 2/50 153/153 [==============================] - 0s 789us/step - loss: 0.8105 Epoch 3/50 153/153 [==============================] - 0s 776us/step - loss: 0.6786 Epoch 4/50 153/153 [==============================] - 0s 756us/step - loss: 0.6320 Epoch 5/50 153/153 [==============================] - 0s 776us/step - loss: 0.6218 Epoch 6/50 153/153 [==============================] - 0s 776us/step - loss: 0.6170 Epoch 7/50 153/153 [==============================] - 0s 776us/step - loss: 0.6118 Epoch 8/50 153/153 [==============================] - 0s 750us/step - loss: 0.6077 Epoch 9/50 153/153 [==============================] - 0s 750us/step - loss: 0.6041 Epoch 10/50 153/153 [==============================] - 0s 789us/step - loss: 0.6012 Epoch 11/50 153/153 [==============================] - 0s 782us/step - loss: 0.5977 Epoch 12/50 153/153 [==============================] - 0s 769us/step - loss: 0.5945 Epoch 13/50 153/153 [==============================] - 0s 782us/step - loss: 0.5911 Epoch 14/50 153/153 [==============================] - 0s 763us/step - loss: 0.5894 Epoch 15/50 153/153 [==============================] - 0s 763us/step - loss: 0.5860 Epoch 16/50 153/153 [==============================] - 0s 776us/step - loss: 0.5847 Epoch 17/50 153/153 [==============================] - 0s 769us/step - loss: 0.5824 Epoch 18/50 153/153 [==============================] - 0s 802us/step - loss: 0.5806 Epoch 19/50 153/153 [==============================] - 0s 789us/step - loss: 0.5777 Epoch 20/50 153/153 [==============================] - 0s 763us/step - loss: 0.5763 Epoch 21/50 153/153 [==============================] - 0s 776us/step - loss: 0.5757 Epoch 22/50 153/153 [==============================] - 0s 776us/step - loss: 0.5740 Epoch 23/50 153/153 [==============================] - 0s 782us/step - loss: 0.5743 Epoch 24/50 153/153 [==============================] - 0s 737us/step - loss: 0.5724 Epoch 25/50 153/153 [==============================] - 0s 763us/step - loss: 0.5710 Epoch 26/50 153/153 [==============================] - 0s 782us/step - loss: 0.5704 Epoch 27/50 153/153 [==============================] - 0s 782us/step - loss: 0.5690 Epoch 28/50 153/153 [==============================] - 0s 769us/step - loss: 0.5676 Epoch 29/50 153/153 [==============================] - 0s 808us/step - loss: 0.5663 Epoch 30/50 153/153 [==============================] - 0s 763us/step - loss: 0.5668 Epoch 31/50 153/153 [==============================] - 0s 802us/step - loss: 0.5646 Epoch 32/50 153/153 [==============================] - 0s 769us/step - loss: 0.5654 Epoch 33/50 153/153 [==============================] - 0s 743us/step - loss: 0.5645 Epoch 34/50 153/153 [==============================] - 0s 795us/step - loss: 0.5635 Epoch 35/50 153/153 [==============================] - 0s 756us/step - loss: 0.5639 Epoch 36/50 153/153 [==============================] - 0s 769us/step - loss: 0.5626 Epoch 37/50 153/153 [==============================] - 0s 756us/step - loss: 0.5616 Epoch 38/50 153/153 [==============================] - 0s 769us/step - loss: 0.5567 Epoch 39/50 153/153 [==============================] - 0s 750us/step - loss: 0.5613 Epoch 40/50 153/153 [==============================] - 0s 763us/step - loss: 0.5604 Epoch 41/50 153/153 [==============================] - 0s 795us/step - loss: 0.5591 Epoch 42/50 153/153 [==============================] - 0s 750us/step - loss: 0.5584 Epoch 43/50 153/153 [==============================] - 0s 763us/step - loss: 0.5594 Epoch 44/50 153/153 [==============================] - 0s 750us/step - loss: 0.5571 Epoch 45/50 153/153 [==============================] - 0s 782us/step - loss: 0.5571 Epoch 46/50 153/153 [==============================] - 0s 808us/step - loss: 0.5574 Epoch 47/50 153/153 [==============================] - 0s 763us/step - loss: 0.5565 Epoch 48/50 153/153 [==============================] - 0s 789us/step - loss: 0.5565 Epoch 49/50 153/153 [==============================] - 0s 776us/step - loss: 0.5553 Epoch 50/50 153/153 [==============================] - 0s 750us/step - loss: 0.5536 ###################################################################### Accuracy: 88.98484974526673 Epoch 1/50 153/153 [==============================] - 0s 789us/step - loss: 1.0003 Epoch 2/50 153/153 [==============================] - 0s 782us/step - loss: 0.8596 Epoch 3/50 153/153 [==============================] - 0s 756us/step - loss: 0.7057 Epoch 4/50 153/153 [==============================] - 0s 782us/step - loss: 0.6594 Epoch 5/50 153/153 [==============================] - 0s 756us/step - loss: 0.6468 Epoch 6/50 153/153 [==============================] - 0s 782us/step - loss: 0.6409 Epoch 7/50 153/153 [==============================] - 0s 821us/step - loss: 0.6364 Epoch 8/50 153/153 [==============================] - 0s 776us/step - loss: 0.6317 Epoch 9/50 153/153 [==============================] - 0s 750us/step - loss: 0.6283 Epoch 10/50 153/153 [==============================] - 0s 789us/step - loss: 0.6221 Epoch 11/50 153/153 [==============================] - 0s 756us/step - loss: 0.6184 Epoch 12/50 153/153 [==============================] - 0s 769us/step - loss: 0.6173 Epoch 13/50 153/153 [==============================] - 0s 782us/step - loss: 0.6115 Epoch 14/50 153/153 [==============================] - 0s 795us/step - loss: 0.6062 Epoch 15/50 153/153 [==============================] - 0s 782us/step - loss: 0.6098 Epoch 16/50 153/153 [==============================] - 0s 743us/step - loss: 0.6063 Epoch 17/50 153/153 [==============================] - 0s 750us/step - loss: 0.6029 Epoch 18/50 153/153 [==============================] - 0s 756us/step - loss: 0.6024 Epoch 19/50 153/153 [==============================] - 0s 802us/step - loss: 0.6005 Epoch 20/50 153/153 [==============================] - 0s 789us/step - loss: 0.5999 Epoch 21/50 153/153 [==============================] - 0s 776us/step - loss: 0.5974 Epoch 22/50 153/153 [==============================] - 0s 776us/step - loss: 0.5946 Epoch 23/50 153/153 [==============================] - 0s 782us/step - loss: 0.5946 Epoch 24/50 153/153 [==============================] - 0s 743us/step - loss: 0.5918 Epoch 25/50 153/153 [==============================] - 0s 815us/step - loss: 0.5943 Epoch 26/50 153/153 [==============================] - 0s 789us/step - loss: 0.5904 Epoch 27/50 153/153 [==============================] - 0s 756us/step - loss: 0.5932 Epoch 28/50 153/153 [==============================] - 0s 776us/step - loss: 0.5884 Epoch 29/50 153/153 [==============================] - 0s 750us/step - loss: 0.5901 Epoch 30/50 153/153 [==============================] - 0s 776us/step - loss: 0.5874 Epoch 31/50 153/153 [==============================] - 0s 756us/step - loss: 0.5883 Epoch 32/50 153/153 [==============================] - 0s 737us/step - loss: 0.5860 Epoch 33/50 153/153 [==============================] - 0s 795us/step - loss: 0.5853 Epoch 34/50 153/153 [==============================] - 0s 763us/step - loss: 0.5851 Epoch 35/50 153/153 [==============================] - 0s 750us/step - loss: 0.5850 Epoch 36/50 153/153 [==============================] - 0s 776us/step - loss: 0.5841 Epoch 37/50 153/153 [==============================] - 0s 789us/step - loss: 0.5824 Epoch 38/50 153/153 [==============================] - 0s 756us/step - loss: 0.5816 Epoch 39/50 153/153 [==============================] - 0s 776us/step - loss: 0.5808 Epoch 40/50 153/153 [==============================] - 0s 756us/step - loss: 0.5811 Epoch 41/50 153/153 [==============================] - 0s 776us/step - loss: 0.5797 Epoch 42/50 153/153 [==============================] - 0s 789us/step - loss: 0.5777 Epoch 43/50 153/153 [==============================] - 0s 965us/step - loss: 0.5793 Epoch 44/50 153/153 [==============================] - 0s 919us/step - loss: 0.5785 Epoch 45/50 153/153 [==============================] - 0s 756us/step - loss: 0.5764 Epoch 46/50 153/153 [==============================] - 0s 815us/step - loss: 0.5745 Epoch 47/50 153/153 [==============================] - 0s 815us/step - loss: 0.5773 Epoch 48/50 153/153 [==============================] - 0s 763us/step - loss: 0.5765 Epoch 49/50 153/153 [==============================] - 0s 769us/step - loss: 0.5755 Epoch 50/50 153/153 [==============================] - 0s 782us/step - loss: 0.5737 ###################################################################### Accuracy: 71.26367804839268 Epoch 1/50 153/153 [==============================] - 0s 788us/step - loss: 0.9808 Epoch 2/50 153/153 [==============================] - 0s 802us/step - loss: 0.8519 Epoch 3/50 153/153 [==============================] - 0s 789us/step - loss: 0.7003 Epoch 4/50 153/153 [==============================] - 0s 789us/step - loss: 0.6494 Epoch 5/50 153/153 [==============================] - 0s 808us/step - loss: 0.6354 Epoch 6/50 153/153 [==============================] - 0s 776us/step - loss: 0.6282 Epoch 7/50 153/153 [==============================] - 0s 782us/step - loss: 0.6224 Epoch 8/50 153/153 [==============================] - 0s 802us/step - loss: 0.6173 Epoch 9/50 153/153 [==============================] - 0s 795us/step - loss: 0.6125 Epoch 10/50 153/153 [==============================] - 0s 802us/step - loss: 0.6085 Epoch 11/50 153/153 [==============================] - 0s 789us/step - loss: 0.6049 Epoch 12/50 153/153 [==============================] - 0s 808us/step - loss: 0.6012 Epoch 13/50 153/153 [==============================] - 0s 789us/step - loss: 0.5990 Epoch 14/50 153/153 [==============================] - 0s 808us/step - loss: 0.5942 Epoch 15/50 153/153 [==============================] - 0s 802us/step - loss: 0.5895 Epoch 16/50 153/153 [==============================] - 0s 802us/step - loss: 0.5912 Epoch 17/50 153/153 [==============================] - 0s 815us/step - loss: 0.5884 Epoch 18/50 153/153 [==============================] - 0s 815us/step - loss: 0.5858 Epoch 19/50 153/153 [==============================] - 0s 795us/step - loss: 0.5835 Epoch 20/50 153/153 [==============================] - 0s 795us/step - loss: 0.5829 Epoch 21/50 153/153 [==============================] - 0s 769us/step - loss: 0.5801 Epoch 22/50 153/153 [==============================] - 0s 802us/step - loss: 0.5785 Epoch 23/50 153/153 [==============================] - 0s 815us/step - loss: 0.5784 Epoch 24/50 153/153 [==============================] - 0s 802us/step - loss: 0.5726 Epoch 25/50 153/153 [==============================] - 0s 769us/step - loss: 0.5765 Epoch 26/50 153/153 [==============================] - 0s 782us/step - loss: 0.5759 Epoch 27/50 153/153 [==============================] - 0s 769us/step - loss: 0.5749 Epoch 28/50 153/153 [==============================] - 0s 789us/step - loss: 0.5732 Epoch 29/50 153/153 [==============================] - 0s 782us/step - loss: 0.5732 Epoch 30/50 153/153 [==============================] - 0s 750us/step - loss: 0.5726 Epoch 31/50 153/153 [==============================] - 0s 789us/step - loss: 0.5701 Epoch 32/50 153/153 [==============================] - 0s 782us/step - loss: 0.5691 Epoch 33/50 153/153 [==============================] - 0s 789us/step - loss: 0.5708 Epoch 34/50 153/153 [==============================] - 0s 763us/step - loss: 0.5684 Epoch 35/50 153/153 [==============================] - 0s 769us/step - loss: 0.5672 Epoch 36/50 153/153 [==============================] - 0s 769us/step - loss: 0.5668 Epoch 37/50 153/153 [==============================] - 0s 795us/step - loss: 0.5681 Epoch 38/50 153/153 [==============================] - 0s 834us/step - loss: 0.5668 Epoch 39/50 153/153 [==============================] - 0s 750us/step - loss: 0.5667 Epoch 40/50 153/153 [==============================] - 0s 769us/step - loss: 0.5632 Epoch 41/50 153/153 [==============================] - 0s 815us/step - loss: 0.5666 Epoch 42/50 153/153 [==============================] - 0s 750us/step - loss: 0.5664 Epoch 43/50 153/153 [==============================] - 0s 802us/step - loss: 0.5650 Epoch 44/50 153/153 [==============================] - 0s 776us/step - loss: 0.5646 Epoch 45/50 153/153 [==============================] - 0s 756us/step - loss: 0.5644 Epoch 46/50 153/153 [==============================] - 0s 795us/step - loss: 0.5630 Epoch 47/50 153/153 [==============================] - 0s 802us/step - loss: 0.5618 Epoch 48/50 153/153 [==============================] - 0s 802us/step - loss: 0.5621 Epoch 49/50 153/153 [==============================] - 0s 782us/step - loss: 0.5615 Epoch 50/50 153/153 [==============================] - 0s 737us/step - loss: 0.5609 ###################################################################### Accuracy: 73.58033598494004 Epoch 1/100 152/152 [==============================] - 0s 840us/step - loss: 1.0014 Epoch 2/100 152/152 [==============================] - 0s 735us/step - loss: 0.8809 Epoch 3/100 152/152 [==============================] - 0s 715us/step - loss: 0.7496 Epoch 4/100 152/152 [==============================] - 0s 741us/step - loss: 0.6749 Epoch 5/100 152/152 [==============================] - 0s 741us/step - loss: 0.6387 Epoch 6/100 152/152 [==============================] - 0s 715us/step - loss: 0.6239 Epoch 7/100 152/152 [==============================] - 0s 722us/step - loss: 0.6144 Epoch 8/100 152/152 [==============================] - 0s 715us/step - loss: 0.6077 Epoch 9/100 152/152 [==============================] - 0s 715us/step - loss: 0.6027 Epoch 10/100 152/152 [==============================] - 0s 696us/step - loss: 0.5966 Epoch 11/100 152/152 [==============================] - 0s 715us/step - loss: 0.5908 Epoch 12/100 152/152 [==============================] - 0s 741us/step - loss: 0.5893 Epoch 13/100 152/152 [==============================] - 0s 728us/step - loss: 0.5857 Epoch 14/100 152/152 [==============================] - 0s 702us/step - loss: 0.5809 Epoch 15/100 152/152 [==============================] - 0s 728us/step - loss: 0.5807 Epoch 16/100 152/152 [==============================] - 0s 741us/step - loss: 0.5781 Epoch 17/100 152/152 [==============================] - 0s 735us/step - loss: 0.5763 Epoch 18/100 152/152 [==============================] - 0s 696us/step - loss: 0.5752 Epoch 19/100 152/152 [==============================] - 0s 715us/step - loss: 0.5720 Epoch 20/100 152/152 [==============================] - 0s 722us/step - loss: 0.5726 Epoch 21/100 152/152 [==============================] - 0s 728us/step - loss: 0.5684 Epoch 22/100 152/152 [==============================] - 0s 715us/step - loss: 0.5702 Epoch 23/100 152/152 [==============================] - 0s 735us/step - loss: 0.5682 Epoch 24/100 152/152 [==============================] - 0s 709us/step - loss: 0.5665 Epoch 25/100 152/152 [==============================] - 0s 696us/step - loss: 0.5623 Epoch 26/100 152/152 [==============================] - 0s 735us/step - loss: 0.5649 Epoch 27/100 152/152 [==============================] - 0s 682us/step - loss: 0.5637 Epoch 28/100 152/152 [==============================] - 0s 709us/step - loss: 0.5630 Epoch 29/100 152/152 [==============================] - 0s 702us/step - loss: 0.5605 Epoch 30/100 152/152 [==============================] - 0s 689us/step - loss: 0.5593 Epoch 31/100 152/152 [==============================] - 0s 715us/step - loss: 0.5589 Epoch 32/100 152/152 [==============================] - 0s 715us/step - loss: 0.5585 Epoch 33/100 152/152 [==============================] - 0s 748us/step - loss: 0.5569 Epoch 34/100 152/152 [==============================] - 0s 676us/step - loss: 0.5571 Epoch 35/100 152/152 [==============================] - 0s 650us/step - loss: 0.5580 Epoch 36/100 152/152 [==============================] - 0s 656us/step - loss: 0.5562 Epoch 37/100 152/152 [==============================] - 0s 728us/step - loss: 0.5538 Epoch 38/100 152/152 [==============================] - 0s 722us/step - loss: 0.5545 Epoch 39/100 152/152 [==============================] - 0s 728us/step - loss: 0.5531 Epoch 40/100 152/152 [==============================] - 0s 741us/step - loss: 0.5535 Epoch 41/100 152/152 [==============================] - 0s 715us/step - loss: 0.5530 Epoch 42/100 152/152 [==============================] - 0s 709us/step - loss: 0.5523 Epoch 43/100 152/152 [==============================] - 0s 807us/step - loss: 0.5527 Epoch 44/100 152/152 [==============================] - 0s 853us/step - loss: 0.5513 Epoch 45/100 152/152 [==============================] - 0s 781us/step - loss: 0.5502 Epoch 46/100 152/152 [==============================] - 0s 741us/step - loss: 0.5494 Epoch 47/100 152/152 [==============================] - 0s 768us/step - loss: 0.5460 Epoch 48/100 152/152 [==============================] - 0s 807us/step - loss: 0.5482 Epoch 49/100 152/152 [==============================] - 0s 833us/step - loss: 0.5465 Epoch 50/100 152/152 [==============================] - 0s 827us/step - loss: 0.5469 Epoch 51/100 152/152 [==============================] - 0s 833us/step - loss: 0.5484 Epoch 52/100 152/152 [==============================] - 0s 787us/step - loss: 0.5473 Epoch 53/100 152/152 [==============================] - 0s 735us/step - loss: 0.5477 Epoch 54/100 152/152 [==============================] - 0s 833us/step - loss: 0.5475 Epoch 55/100 152/152 [==============================] - 0s 899us/step - loss: 0.5430 Epoch 56/100 152/152 [==============================] - 0s 800us/step - loss: 0.5448 Epoch 57/100 152/152 [==============================] - 0s 820us/step - loss: 0.5437 Epoch 58/100 152/152 [==============================] - 0s 853us/step - loss: 0.5452 Epoch 59/100 152/152 [==============================] - 0s 801us/step - loss: 0.5449 Epoch 60/100 152/152 [==============================] - 0s 787us/step - loss: 0.5424 Epoch 61/100 152/152 [==============================] - 0s 768us/step - loss: 0.5445 Epoch 62/100 152/152 [==============================] - 0s 781us/step - loss: 0.5429 Epoch 63/100 152/152 [==============================] - 0s 755us/step - loss: 0.5413 Epoch 64/100 152/152 [==============================] - 0s 794us/step - loss: 0.5430 Epoch 65/100 152/152 [==============================] - 0s 814us/step - loss: 0.5397 Epoch 66/100 152/152 [==============================] - 0s 794us/step - loss: 0.5393 Epoch 67/100 152/152 [==============================] - 0s 781us/step - loss: 0.5375 Epoch 68/100 152/152 [==============================] - 0s 807us/step - loss: 0.5410 Epoch 69/100 152/152 [==============================] - 0s 781us/step - loss: 0.5412 Epoch 70/100 152/152 [==============================] - 0s 768us/step - loss: 0.5385 Epoch 71/100 152/152 [==============================] - 0s 800us/step - loss: 0.5386 Epoch 72/100 152/152 [==============================] - 0s 787us/step - loss: 0.5392 Epoch 73/100 152/152 [==============================] - 0s 781us/step - loss: 0.5390 Epoch 74/100 152/152 [==============================] - 0s 800us/step - loss: 0.5385 Epoch 75/100 152/152 [==============================] - 0s 860us/step - loss: 0.5375 Epoch 76/100 152/152 [==============================] - 0s 1ms/step - loss: 0.5375 Epoch 77/100 152/152 [==============================] - 0s 958us/step - loss: 0.5376 Epoch 78/100 152/152 [==============================] - 0s 853us/step - loss: 0.5359 Epoch 79/100 152/152 [==============================] - 0s 938us/step - loss: 0.5348 Epoch 80/100 152/152 [==============================] - 0s 991us/step - loss: 0.5366 Epoch 81/100 152/152 [==============================] - 0s 938us/step - loss: 0.5375 Epoch 82/100 152/152 [==============================] - 0s 925us/step - loss: 0.5362 Epoch 83/100 152/152 [==============================] - 0s 971us/step - loss: 0.5333 Epoch 84/100 152/152 [==============================] - ETA: 0s - loss: 0.528 - 0s 892us/step - loss: 0.5357 Epoch 85/100 152/152 [==============================] - 0s 860us/step - loss: 0.5340 Epoch 86/100 152/152 [==============================] - 0s 807us/step - loss: 0.5329 Epoch 87/100 152/152 [==============================] - 0s 846us/step - loss: 0.5333 Epoch 88/100 152/152 [==============================] - 0s 794us/step - loss: 0.5346 Epoch 89/100 152/152 [==============================] - 0s 781us/step - loss: 0.5309 Epoch 90/100 152/152 [==============================] - 0s 807us/step - loss: 0.5321 Epoch 91/100 152/152 [==============================] - 0s 787us/step - loss: 0.5328 Epoch 92/100 152/152 [==============================] - 0s 794us/step - loss: 0.5285 Epoch 93/100 152/152 [==============================] - 0s 814us/step - loss: 0.5300 Epoch 94/100 152/152 [==============================] - 0s 820us/step - loss: 0.5315 Epoch 95/100 152/152 [==============================] - 0s 840us/step - loss: 0.5310 Epoch 96/100 152/152 [==============================] - 0s 787us/step - loss: 0.5305 Epoch 97/100 152/152 [==============================] - 0s 814us/step - loss: 0.5292 Epoch 98/100 152/152 [==============================] - 0s 800us/step - loss: 0.5266 Epoch 99/100 152/152 [==============================] - 0s 735us/step - loss: 0.5274 Epoch 100/100 152/152 [==============================] - 0s 794us/step - loss: 0.5304 ###################################################################### Accuracy: 73.38728198034748 Epoch 1/100 153/153 [==============================] - 0s 850us/step - loss: 0.9706 Epoch 2/100 153/153 [==============================] - 0s 893us/step - loss: 0.8478 Epoch 3/100 153/153 [==============================] - 0s 802us/step - loss: 0.7067 Epoch 4/100 153/153 [==============================] - 0s 815us/step - loss: 0.6588 Epoch 5/100 153/153 [==============================] - 0s 860us/step - loss: 0.6487 Epoch 6/100 153/153 [==============================] - 0s 854us/step - loss: 0.6446 Epoch 7/100 153/153 [==============================] - 0s 854us/step - loss: 0.6409 Epoch 8/100 153/153 [==============================] - 0s 1ms/step - loss: 0.6385 Epoch 9/100 153/153 [==============================] - 0s 1ms/step - loss: 0.6325 Epoch 10/100 153/153 [==============================] - 0s 939us/step - loss: 0.6296 Epoch 11/100 153/153 [==============================] - 0s 841us/step - loss: 0.6256 Epoch 12/100 153/153 [==============================] - 0s 919us/step - loss: 0.6205 Epoch 13/100 153/153 [==============================] - 0s 978us/step - loss: 0.6187 Epoch 14/100 153/153 [==============================] - 0s 978us/step - loss: 0.6150 Epoch 15/100 153/153 [==============================] - 0s 900us/step - loss: 0.6111 Epoch 16/100 153/153 [==============================] - 0s 847us/step - loss: 0.6085 Epoch 17/100 153/153 [==============================] - 0s 815us/step - loss: 0.6065 Epoch 18/100 153/153 [==============================] - 0s 939us/step - loss: 0.6039 Epoch 19/100 153/153 [==============================] - 0s 945us/step - loss: 0.6021 Epoch 20/100 153/153 [==============================] - 0s 952us/step - loss: 0.5978 Epoch 21/100 153/153 [==============================] - 0s 834us/step - loss: 0.5951 Epoch 22/100 153/153 [==============================] - 0s 984us/step - loss: 0.5923 Epoch 23/100 153/153 [==============================] - 0s 945us/step - loss: 0.5907 Epoch 24/100 153/153 [==============================] - 0s 880us/step - loss: 0.5874 Epoch 25/100 153/153 [==============================] - 0s 893us/step - loss: 0.5876 Epoch 26/100 153/153 [==============================] - 0s 906us/step - loss: 0.5847 Epoch 27/100 153/153 [==============================] - 0s 893us/step - loss: 0.5851 Epoch 28/100 153/153 [==============================] - 0s 900us/step - loss: 0.5815 Epoch 29/100 153/153 [==============================] - 0s 860us/step - loss: 0.5806 Epoch 30/100 153/153 [==============================] - 0s 867us/step - loss: 0.5786 Epoch 31/100 153/153 [==============================] - 0s 808us/step - loss: 0.5759 Epoch 32/100 153/153 [==============================] - 0s 893us/step - loss: 0.5786 Epoch 33/100 153/153 [==============================] - 0s 913us/step - loss: 0.5774 Epoch 34/100 153/153 [==============================] - ETA: 0s - loss: 0.567 - 0s 873us/step - loss: 0.5766 Epoch 35/100 153/153 [==============================] - 0s 919us/step - loss: 0.5754 Epoch 36/100 153/153 [==============================] - 0s 893us/step - loss: 0.5741 Epoch 37/100 153/153 [==============================] - 0s 926us/step - loss: 0.5742 Epoch 38/100 153/153 [==============================] - 0s 913us/step - loss: 0.5737 Epoch 39/100 153/153 [==============================] - 0s 887us/step - loss: 0.5726 Epoch 40/100 153/153 [==============================] - 0s 965us/step - loss: 0.5718 Epoch 41/100 153/153 [==============================] - 0s 834us/step - loss: 0.5705 Epoch 42/100 153/153 [==============================] - 0s 847us/step - loss: 0.5694 Epoch 43/100 153/153 [==============================] - 0s 926us/step - loss: 0.5705 Epoch 44/100 153/153 [==============================] - 0s 1ms/step - loss: 0.5690 Epoch 45/100 153/153 [==============================] - 0s 893us/step - loss: 0.5696 Epoch 46/100 153/153 [==============================] - 0s 808us/step - loss: 0.5691 Epoch 47/100 153/153 [==============================] - 0s 958us/step - loss: 0.5673 Epoch 48/100 153/153 [==============================] - 0s 867us/step - loss: 0.5669 Epoch 49/100 153/153 [==============================] - 0s 873us/step - loss: 0.5669 Epoch 50/100 153/153 [==============================] - 0s 834us/step - loss: 0.5656 Epoch 51/100 153/153 [==============================] - 0s 854us/step - loss: 0.5637 Epoch 52/100 153/153 [==============================] - 0s 880us/step - loss: 0.5675 Epoch 53/100 153/153 [==============================] - 0s 906us/step - loss: 0.5653 Epoch 54/100 153/153 [==============================] - 0s 913us/step - loss: 0.5639 Epoch 55/100 153/153 [==============================] - 0s 887us/step - loss: 0.5654 Epoch 56/100 153/153 [==============================] - 0s 887us/step - loss: 0.5621 Epoch 57/100 153/153 [==============================] - 0s 906us/step - loss: 0.5631 Epoch 58/100 153/153 [==============================] - 0s 919us/step - loss: 0.5636 Epoch 59/100 153/153 [==============================] - 0s 900us/step - loss: 0.5630 Epoch 60/100 153/153 [==============================] - 0s 906us/step - loss: 0.5629 Epoch 61/100 153/153 [==============================] - 0s 880us/step - loss: 0.5597 Epoch 62/100 153/153 [==============================] - 0s 880us/step - loss: 0.5592 Epoch 63/100 153/153 [==============================] - 0s 906us/step - loss: 0.5594 Epoch 64/100 153/153 [==============================] - 0s 880us/step - loss: 0.5586 Epoch 65/100 153/153 [==============================] - 0s 893us/step - loss: 0.5590 Epoch 66/100 153/153 [==============================] - 0s 939us/step - loss: 0.5588 Epoch 67/100 153/153 [==============================] - 0s 893us/step - loss: 0.5582 Epoch 68/100 153/153 [==============================] - 0s 913us/step - loss: 0.5576 Epoch 69/100 153/153 [==============================] - 0s 847us/step - loss: 0.5575 Epoch 70/100 153/153 [==============================] - 0s 900us/step - loss: 0.5561 Epoch 71/100 153/153 [==============================] - 0s 906us/step - loss: 0.5573 Epoch 72/100 153/153 [==============================] - 0s 900us/step - loss: 0.5542 Epoch 73/100 153/153 [==============================] - 0s 913us/step - loss: 0.5568 Epoch 74/100 153/153 [==============================] - 0s 847us/step - loss: 0.5551 Epoch 75/100 153/153 [==============================] - 0s 919us/step - loss: 0.5558 Epoch 76/100 153/153 [==============================] - 0s 867us/step - loss: 0.5534 Epoch 77/100 153/153 [==============================] - 0s 893us/step - loss: 0.5546 Epoch 78/100 153/153 [==============================] - 0s 926us/step - loss: 0.5540 Epoch 79/100 153/153 [==============================] - 0s 860us/step - loss: 0.5526 Epoch 80/100 153/153 [==============================] - 0s 795us/step - loss: 0.5536 Epoch 81/100 153/153 [==============================] - 0s 841us/step - loss: 0.5541 Epoch 82/100 153/153 [==============================] - 0s 854us/step - loss: 0.5522 Epoch 83/100 153/153 [==============================] - 0s 893us/step - loss: 0.5519 Epoch 84/100 153/153 [==============================] - 0s 867us/step - loss: 0.5501 Epoch 85/100 153/153 [==============================] - 0s 867us/step - loss: 0.5504 Epoch 86/100 153/153 [==============================] - 0s 887us/step - loss: 0.5497 Epoch 87/100 153/153 [==============================] - 0s 847us/step - loss: 0.5514 Epoch 88/100 153/153 [==============================] - 0s 860us/step - loss: 0.5494 Epoch 89/100 153/153 [==============================] - 0s 880us/step - loss: 0.5486 Epoch 90/100 153/153 [==============================] - 0s 900us/step - loss: 0.5483 Epoch 91/100 153/153 [==============================] - 0s 841us/step - loss: 0.5479 Epoch 92/100 153/153 [==============================] - 0s 867us/step - loss: 0.5496 Epoch 93/100 153/153 [==============================] - 0s 873us/step - loss: 0.5461 Epoch 94/100 153/153 [==============================] - 0s 854us/step - loss: 0.5455 Epoch 95/100 153/153 [==============================] - 0s 887us/step - loss: 0.5481 Epoch 96/100 153/153 [==============================] - 0s 965us/step - loss: 0.5455 Epoch 97/100 153/153 [==============================] - 0s 900us/step - loss: 0.5422 Epoch 98/100 153/153 [==============================] - 0s 906us/step - loss: 0.5468 Epoch 99/100 153/153 [==============================] - 0s 867us/step - loss: 0.5451 Epoch 100/100 153/153 [==============================] - 0s 867us/step - loss: 0.5408 ###################################################################### Accuracy: 76.93452249542196 Epoch 1/100 153/153 [==============================] - 0s 827us/step - loss: 0.9552 Epoch 2/100 153/153 [==============================] - 0s 900us/step - loss: 0.8604 Epoch 3/100 153/153 [==============================] - 0s 867us/step - loss: 0.7976 Epoch 4/100 153/153 [==============================] - 0s 952us/step - loss: 0.7655 Epoch 5/100 153/153 [==============================] - 0s 926us/step - loss: 0.7360 Epoch 6/100 153/153 [==============================] - 0s 893us/step - loss: 0.7147 Epoch 7/100 153/153 [==============================] - 0s 926us/step - loss: 0.6964 Epoch 8/100 153/153 [==============================] - 0s 906us/step - loss: 0.6826 Epoch 9/100 153/153 [==============================] - 0s 887us/step - loss: 0.6675 Epoch 10/100 153/153 [==============================] - 0s 795us/step - loss: 0.6558 Epoch 11/100 153/153 [==============================] - 0s 893us/step - loss: 0.6442 Epoch 12/100 153/153 [==============================] - 0s 880us/step - loss: 0.6370 Epoch 13/100 153/153 [==============================] - 0s 873us/step - loss: 0.6286 Epoch 14/100 153/153 [==============================] - 0s 932us/step - loss: 0.6247 Epoch 15/100 153/153 [==============================] - 0s 900us/step - loss: 0.6168 Epoch 16/100 153/153 [==============================] - 0s 893us/step - loss: 0.6119 Epoch 17/100 153/153 [==============================] - 0s 854us/step - loss: 0.6079 Epoch 18/100 153/153 [==============================] - 0s 873us/step - loss: 0.6028 Epoch 19/100 153/153 [==============================] - 0s 873us/step - loss: 0.5992 Epoch 20/100 153/153 [==============================] - 0s 919us/step - loss: 0.5949 Epoch 21/100 153/153 [==============================] - 0s 919us/step - loss: 0.5901 Epoch 22/100 153/153 [==============================] - 0s 847us/step - loss: 0.5892 Epoch 23/100 153/153 [==============================] - 0s 874us/step - loss: 0.5850 Epoch 24/100 153/153 [==============================] - 0s 880us/step - loss: 0.5846 Epoch 25/100 153/153 [==============================] - 0s 847us/step - loss: 0.5803 Epoch 26/100 153/153 [==============================] - 0s 847us/step - loss: 0.5789 Epoch 27/100 153/153 [==============================] - 0s 815us/step - loss: 0.5794 Epoch 28/100 153/153 [==============================] - 0s 841us/step - loss: 0.5779 Epoch 29/100 153/153 [==============================] - 0s 860us/step - loss: 0.5745 Epoch 30/100 153/153 [==============================] - 0s 795us/step - loss: 0.5734 Epoch 31/100 153/153 [==============================] - 0s 860us/step - loss: 0.5742 Epoch 32/100 153/153 [==============================] - 0s 854us/step - loss: 0.5708 Epoch 33/100 153/153 [==============================] - 0s 847us/step - loss: 0.5705 Epoch 34/100 153/153 [==============================] - 0s 841us/step - loss: 0.5682 Epoch 35/100 153/153 [==============================] - 0s 828us/step - loss: 0.5676 Epoch 36/100 153/153 [==============================] - 0s 795us/step - loss: 0.5681 0s - loss: 0.55 Epoch 37/100 153/153 [==============================] - 0s 834us/step - loss: 0.5654 Epoch 38/100 153/153 [==============================] - 0s 828us/step - loss: 0.5648 Epoch 39/100 153/153 [==============================] - 0s 847us/step - loss: 0.5660 Epoch 40/100 153/153 [==============================] - 0s 867us/step - loss: 0.5621 Epoch 41/100 153/153 [==============================] - 0s 854us/step - loss: 0.5626 Epoch 42/100 153/153 [==============================] - 0s 828us/step - loss: 0.5583 Epoch 43/100 153/153 [==============================] - 0s 854us/step - loss: 0.5593 Epoch 44/100 153/153 [==============================] - 0s 821us/step - loss: 0.5606 Epoch 45/100 153/153 [==============================] - 0s 847us/step - loss: 0.5570 Epoch 46/100 153/153 [==============================] - 0s 776us/step - loss: 0.5565 Epoch 47/100 153/153 [==============================] - 0s 782us/step - loss: 0.5574 Epoch 48/100 153/153 [==============================] - 0s 834us/step - loss: 0.5563 0s - loss: 0.554 Epoch 49/100 153/153 [==============================] - 0s 860us/step - loss: 0.5565 Epoch 50/100 153/153 [==============================] - 0s 834us/step - loss: 0.5539 Epoch 51/100 153/153 [==============================] - 0s 873us/step - loss: 0.5533 Epoch 52/100 153/153 [==============================] - 0s 854us/step - loss: 0.5535 Epoch 53/100 153/153 [==============================] - 0s 834us/step - loss: 0.5525 Epoch 54/100 153/153 [==============================] - 0s 834us/step - loss: 0.5519 Epoch 55/100 153/153 [==============================] - 0s 847us/step - loss: 0.5510 Epoch 56/100 153/153 [==============================] - 0s 828us/step - loss: 0.5510 Epoch 57/100 153/153 [==============================] - 0s 880us/step - loss: 0.5510 Epoch 58/100 153/153 [==============================] - 0s 841us/step - loss: 0.5479 Epoch 59/100 153/153 [==============================] - 0s 828us/step - loss: 0.5518 Epoch 60/100 153/153 [==============================] - 0s 802us/step - loss: 0.5484 Epoch 61/100 153/153 [==============================] - 0s 795us/step - loss: 0.5495 Epoch 62/100 153/153 [==============================] - 0s 782us/step - loss: 0.5480 Epoch 63/100 153/153 [==============================] - 0s 795us/step - loss: 0.5434 Epoch 64/100 153/153 [==============================] - 0s 802us/step - loss: 0.5489 Epoch 65/100 153/153 [==============================] - 0s 782us/step - loss: 0.5459 Epoch 66/100 153/153 [==============================] - 0s 782us/step - loss: 0.5462 Epoch 67/100 153/153 [==============================] - 0s 763us/step - loss: 0.5459 Epoch 68/100 153/153 [==============================] - 0s 769us/step - loss: 0.5459 Epoch 69/100 153/153 [==============================] - 0s 743us/step - loss: 0.5443 Epoch 70/100 153/153 [==============================] - 0s 750us/step - loss: 0.5449 Epoch 71/100 153/153 [==============================] - 0s 769us/step - loss: 0.5438 Epoch 72/100 153/153 [==============================] - 0s 737us/step - loss: 0.5432 Epoch 73/100 153/153 [==============================] - 0s 756us/step - loss: 0.5433 Epoch 74/100 153/153 [==============================] - 0s 750us/step - loss: 0.5416 Epoch 75/100 153/153 [==============================] - 0s 789us/step - loss: 0.5417 Epoch 76/100 153/153 [==============================] - 0s 782us/step - loss: 0.5406 Epoch 77/100 153/153 [==============================] - 0s 789us/step - loss: 0.5404 Epoch 78/100 153/153 [==============================] - 0s 782us/step - loss: 0.5380 Epoch 79/100 153/153 [==============================] - 0s 782us/step - loss: 0.5367 Epoch 80/100 153/153 [==============================] - 0s 776us/step - loss: 0.5398 0s - loss: 0.543 Epoch 81/100 153/153 [==============================] - 0s 750us/step - loss: 0.5352 Epoch 82/100 153/153 [==============================] - 0s 756us/step - loss: 0.5392 Epoch 83/100 153/153 [==============================] - 0s 763us/step - loss: 0.5379 Epoch 84/100 153/153 [==============================] - 0s 776us/step - loss: 0.5376 Epoch 85/100 153/153 [==============================] - 0s 763us/step - loss: 0.5373 Epoch 86/100 153/153 [==============================] - 0s 763us/step - loss: 0.5370 Epoch 87/100 153/153 [==============================] - 0s 776us/step - loss: 0.5359 Epoch 88/100 153/153 [==============================] - 0s 737us/step - loss: 0.5336 Epoch 89/100 153/153 [==============================] - 0s 769us/step - loss: 0.5348 Epoch 90/100 153/153 [==============================] - 0s 737us/step - loss: 0.5354 Epoch 91/100 153/153 [==============================] - 0s 750us/step - loss: 0.5327 Epoch 92/100 153/153 [==============================] - 0s 776us/step - loss: 0.5329 Epoch 93/100 153/153 [==============================] - 0s 782us/step - loss: 0.5327 Epoch 94/100 153/153 [==============================] - 0s 743us/step - loss: 0.5336 Epoch 95/100 153/153 [==============================] - 0s 737us/step - loss: 0.5306 Epoch 96/100 153/153 [==============================] - 0s 743us/step - loss: 0.5317 Epoch 97/100 153/153 [==============================] - 0s 769us/step - loss: 0.5299 Epoch 98/100 153/153 [==============================] - 0s 750us/step - loss: 0.5288 Epoch 99/100 153/153 [==============================] - 0s 737us/step - loss: 0.5260 Epoch 100/100 153/153 [==============================] - 0s 730us/step - loss: 0.5279 ###################################################################### Accuracy: 91.5764346492331 Epoch 1/100 153/153 [==============================] - 0s 808us/step - loss: 1.0133 Epoch 2/100 153/153 [==============================] - 0s 756us/step - loss: 0.9563 Epoch 3/100 153/153 [==============================] - 0s 763us/step - loss: 0.8488 Epoch 4/100 153/153 [==============================] - 0s 769us/step - loss: 0.7734 Epoch 5/100 153/153 [==============================] - 0s 750us/step - loss: 0.7368 Epoch 6/100 153/153 [==============================] - 0s 782us/step - loss: 0.7121 Epoch 7/100 153/153 [==============================] - 0s 769us/step - loss: 0.6984 Epoch 8/100 153/153 [==============================] - 0s 763us/step - loss: 0.6867 Epoch 9/100 153/153 [==============================] - 0s 782us/step - loss: 0.6777 Epoch 10/100 153/153 [==============================] - 0s 789us/step - loss: 0.6710 Epoch 11/100 153/153 [==============================] - 0s 769us/step - loss: 0.6636 Epoch 12/100 153/153 [==============================] - 0s 756us/step - loss: 0.6580 Epoch 13/100 153/153 [==============================] - 0s 802us/step - loss: 0.6555 Epoch 14/100 153/153 [==============================] - 0s 789us/step - loss: 0.6509 Epoch 15/100 153/153 [==============================] - 0s 776us/step - loss: 0.6448 Epoch 16/100 153/153 [==============================] - 0s 795us/step - loss: 0.6423 Epoch 17/100 153/153 [==============================] - 0s 769us/step - loss: 0.6389 Epoch 18/100 153/153 [==============================] - 0s 789us/step - loss: 0.6332 Epoch 19/100 153/153 [==============================] - 0s 776us/step - loss: 0.6335 Epoch 20/100 153/153 [==============================] - 0s 769us/step - loss: 0.6284 Epoch 21/100 153/153 [==============================] - 0s 795us/step - loss: 0.6283 Epoch 22/100 153/153 [==============================] - 0s 802us/step - loss: 0.6258 Epoch 23/100 153/153 [==============================] - 0s 776us/step - loss: 0.6230 Epoch 24/100 153/153 [==============================] - 0s 763us/step - loss: 0.6203 Epoch 25/100 153/153 [==============================] - 0s 795us/step - loss: 0.6187 Epoch 26/100 153/153 [==============================] - 0s 802us/step - loss: 0.6163 Epoch 27/100 153/153 [==============================] - 0s 737us/step - loss: 0.6130 Epoch 28/100 153/153 [==============================] - 0s 782us/step - loss: 0.6111 Epoch 29/100 153/153 [==============================] - 0s 802us/step - loss: 0.6096 Epoch 30/100 153/153 [==============================] - 0s 815us/step - loss: 0.6087 Epoch 31/100 153/153 [==============================] - 0s 769us/step - loss: 0.6037 Epoch 32/100 153/153 [==============================] - 0s 782us/step - loss: 0.6048 Epoch 33/100 153/153 [==============================] - 0s 795us/step - loss: 0.6018 Epoch 34/100 153/153 [==============================] - 0s 789us/step - loss: 0.6022 Epoch 35/100 153/153 [==============================] - 0s 769us/step - loss: 0.6016 Epoch 36/100 153/153 [==============================] - 0s 769us/step - loss: 0.5969 Epoch 37/100 153/153 [==============================] - 0s 789us/step - loss: 0.5984 Epoch 38/100 153/153 [==============================] - 0s 789us/step - loss: 0.5980 Epoch 39/100 153/153 [==============================] - 0s 743us/step - loss: 0.5955 Epoch 40/100 153/153 [==============================] - 0s 789us/step - loss: 0.5939 Epoch 41/100 153/153 [==============================] - 0s 763us/step - loss: 0.5917 Epoch 42/100 153/153 [==============================] - 0s 769us/step - loss: 0.5934 Epoch 43/100 153/153 [==============================] - 0s 808us/step - loss: 0.5910 Epoch 44/100 153/153 [==============================] - 0s 756us/step - loss: 0.5907 Epoch 45/100 153/153 [==============================] - 0s 756us/step - loss: 0.5887 Epoch 46/100 153/153 [==============================] - 0s 769us/step - loss: 0.5877 Epoch 47/100 153/153 [==============================] - 0s 776us/step - loss: 0.5874 Epoch 48/100 153/153 [==============================] - 0s 763us/step - loss: 0.5852 Epoch 49/100 153/153 [==============================] - 0s 782us/step - loss: 0.5871 Epoch 50/100 153/153 [==============================] - 0s 808us/step - loss: 0.5847 Epoch 51/100 153/153 [==============================] - 0s 724us/step - loss: 0.5821 Epoch 52/100 153/153 [==============================] - 0s 756us/step - loss: 0.5834 Epoch 53/100 153/153 [==============================] - 0s 841us/step - loss: 0.5822 Epoch 54/100 153/153 [==============================] - 0s 789us/step - loss: 0.5821 Epoch 55/100 153/153 [==============================] - 0s 782us/step - loss: 0.5811 Epoch 56/100 153/153 [==============================] - 0s 763us/step - loss: 0.5814 Epoch 57/100 153/153 [==============================] - 0s 782us/step - loss: 0.5793 Epoch 58/100 153/153 [==============================] - 0s 802us/step - loss: 0.5793 Epoch 59/100 153/153 [==============================] - 0s 776us/step - loss: 0.5748 Epoch 60/100 153/153 [==============================] - 0s 789us/step - loss: 0.5774 Epoch 61/100 153/153 [==============================] - 0s 769us/step - loss: 0.5776 Epoch 62/100 153/153 [==============================] - 0s 802us/step - loss: 0.5752 Epoch 63/100 153/153 [==============================] - 0s 782us/step - loss: 0.5770 Epoch 64/100 153/153 [==============================] - 0s 795us/step - loss: 0.5768 Epoch 65/100 153/153 [==============================] - 0s 769us/step - loss: 0.5757 Epoch 66/100 153/153 [==============================] - 0s 769us/step - loss: 0.5763 Epoch 67/100 153/153 [==============================] - 0s 769us/step - loss: 0.5742 Epoch 68/100 153/153 [==============================] - 0s 763us/step - loss: 0.5738 Epoch 69/100 153/153 [==============================] - 0s 782us/step - loss: 0.5744 Epoch 70/100 153/153 [==============================] - 0s 776us/step - loss: 0.5738 Epoch 71/100 153/153 [==============================] - 0s 782us/step - loss: 0.5729 Epoch 72/100 153/153 [==============================] - 0s 789us/step - loss: 0.5729 Epoch 73/100 153/153 [==============================] - 0s 795us/step - loss: 0.5732 Epoch 74/100 153/153 [==============================] - 0s 776us/step - loss: 0.5723 Epoch 75/100 153/153 [==============================] - 0s 750us/step - loss: 0.5717 Epoch 76/100 153/153 [==============================] - 0s 789us/step - loss: 0.5726 Epoch 77/100 153/153 [==============================] - 0s 795us/step - loss: 0.5712 Epoch 78/100 153/153 [==============================] - 0s 782us/step - loss: 0.5702 Epoch 79/100 153/153 [==============================] - 0s 769us/step - loss: 0.5721 Epoch 80/100 153/153 [==============================] - 0s 808us/step - loss: 0.5719 Epoch 81/100 153/153 [==============================] - 0s 756us/step - loss: 0.5687 Epoch 82/100 153/153 [==============================] - 0s 763us/step - loss: 0.5721 Epoch 83/100 153/153 [==============================] - 0s 795us/step - loss: 0.5706 Epoch 84/100 153/153 [==============================] - 0s 789us/step - loss: 0.5691 Epoch 85/100 153/153 [==============================] - 0s 802us/step - loss: 0.5692 Epoch 86/100 153/153 [==============================] - 0s 776us/step - loss: 0.5682 Epoch 87/100 153/153 [==============================] - 0s 763us/step - loss: 0.5674 Epoch 88/100 153/153 [==============================] - 0s 789us/step - loss: 0.5675 Epoch 89/100 153/153 [==============================] - 0s 802us/step - loss: 0.5685 Epoch 90/100 153/153 [==============================] - 0s 776us/step - loss: 0.5631 Epoch 91/100 153/153 [==============================] - 0s 789us/step - loss: 0.5666 Epoch 92/100 153/153 [==============================] - 0s 769us/step - loss: 0.5642 Epoch 93/100 153/153 [==============================] - 0s 802us/step - loss: 0.5652 Epoch 94/100 153/153 [==============================] - 0s 795us/step - loss: 0.5652 Epoch 95/100 153/153 [==============================] - 0s 769us/step - loss: 0.5626 Epoch 96/100 153/153 [==============================] - 0s 763us/step - loss: 0.5627 Epoch 97/100 153/153 [==============================] - 0s 782us/step - loss: 0.5630 Epoch 98/100 153/153 [==============================] - 0s 750us/step - loss: 0.5614 Epoch 99/100 153/153 [==============================] - 0s 769us/step - loss: 0.5627 Epoch 100/100 153/153 [==============================] - 0s 776us/step - loss: 0.5606 ###################################################################### Accuracy: 77.3152461257935 Epoch 1/100 153/153 [==============================] - 0s 802us/step - loss: 0.9800 Epoch 2/100 153/153 [==============================] - 0s 769us/step - loss: 0.8579 Epoch 3/100 153/153 [==============================] - 0s 743us/step - loss: 0.7151 Epoch 4/100 153/153 [==============================] - 0s 730us/step - loss: 0.6618 Epoch 5/100 153/153 [==============================] - 0s 750us/step - loss: 0.6498 Epoch 6/100 153/153 [==============================] - 0s 737us/step - loss: 0.6437 Epoch 7/100 153/153 [==============================] - 0s 776us/step - loss: 0.6375 Epoch 8/100 153/153 [==============================] - 0s 769us/step - loss: 0.6329 Epoch 9/100 153/153 [==============================] - 0s 769us/step - loss: 0.6279 Epoch 10/100 153/153 [==============================] - 0s 763us/step - loss: 0.6250 Epoch 11/100 153/153 [==============================] - 0s 776us/step - loss: 0.6216 Epoch 12/100 153/153 [==============================] - 0s 769us/step - loss: 0.6170 Epoch 13/100 153/153 [==============================] - 0s 763us/step - loss: 0.6130 Epoch 14/100 153/153 [==============================] - 0s 769us/step - loss: 0.6092 Epoch 15/100 153/153 [==============================] - 0s 795us/step - loss: 0.6055 Epoch 16/100 153/153 [==============================] - 0s 769us/step - loss: 0.6037 Epoch 17/100 153/153 [==============================] - 0s 750us/step - loss: 0.6013 Epoch 18/100 153/153 [==============================] - 0s 776us/step - loss: 0.5972 Epoch 19/100 153/153 [==============================] - 0s 782us/step - loss: 0.5964 Epoch 20/100 153/153 [==============================] - 0s 756us/step - loss: 0.5923 Epoch 21/100 153/153 [==============================] - 0s 789us/step - loss: 0.5903 Epoch 22/100 153/153 [==============================] - 0s 763us/step - loss: 0.5875 Epoch 23/100 153/153 [==============================] - 0s 763us/step - loss: 0.5838 Epoch 24/100 153/153 [==============================] - 0s 776us/step - loss: 0.5827 Epoch 25/100 153/153 [==============================] - 0s 782us/step - loss: 0.5812 Epoch 26/100 153/153 [==============================] - 0s 743us/step - loss: 0.5786 Epoch 27/100 153/153 [==============================] - 0s 750us/step - loss: 0.5748 Epoch 28/100 153/153 [==============================] - 0s 763us/step - loss: 0.5777 Epoch 29/100 153/153 [==============================] - 0s 776us/step - loss: 0.5735 Epoch 30/100 153/153 [==============================] - 0s 782us/step - loss: 0.5737 Epoch 31/100 153/153 [==============================] - 0s 782us/step - loss: 0.5726 Epoch 32/100 153/153 [==============================] - 0s 776us/step - loss: 0.5723 Epoch 33/100 153/153 [==============================] - 0s 789us/step - loss: 0.5699 Epoch 34/100 153/153 [==============================] - 0s 763us/step - loss: 0.5694 Epoch 35/100 153/153 [==============================] - 0s 769us/step - loss: 0.5695 Epoch 36/100 153/153 [==============================] - 0s 750us/step - loss: 0.5679 Epoch 37/100 153/153 [==============================] - 0s 756us/step - loss: 0.5671 Epoch 38/100 153/153 [==============================] - 0s 750us/step - loss: 0.5659 Epoch 39/100 153/153 [==============================] - 0s 776us/step - loss: 0.5631 Epoch 40/100 153/153 [==============================] - 0s 789us/step - loss: 0.5641 Epoch 41/100 153/153 [==============================] - 0s 776us/step - loss: 0.5619 0s - loss: 0.568 Epoch 42/100 153/153 [==============================] - 0s 776us/step - loss: 0.5624 Epoch 43/100 153/153 [==============================] - 0s 756us/step - loss: 0.5629 Epoch 44/100 153/153 [==============================] - 0s 763us/step - loss: 0.5600 Epoch 45/100 153/153 [==============================] - 0s 756us/step - loss: 0.5596 Epoch 46/100 153/153 [==============================] - 0s 789us/step - loss: 0.5607 Epoch 47/100 153/153 [==============================] - 0s 789us/step - loss: 0.5590 Epoch 48/100 153/153 [==============================] - 0s 782us/step - loss: 0.5583 Epoch 49/100 153/153 [==============================] - 0s 776us/step - loss: 0.5580 Epoch 50/100 153/153 [==============================] - 0s 769us/step - loss: 0.5562 Epoch 51/100 153/153 [==============================] - 0s 743us/step - loss: 0.5572 Epoch 52/100 153/153 [==============================] - 0s 782us/step - loss: 0.5553 Epoch 53/100 153/153 [==============================] - 0s 763us/step - loss: 0.5544 Epoch 54/100 153/153 [==============================] - 0s 743us/step - loss: 0.5553 Epoch 55/100 153/153 [==============================] - 0s 750us/step - loss: 0.5541 Epoch 56/100 153/153 [==============================] - 0s 952us/step - loss: 0.5511 Epoch 57/100 153/153 [==============================] - 0s 815us/step - loss: 0.5493 Epoch 58/100 153/153 [==============================] - 0s 750us/step - loss: 0.5535 Epoch 59/100 153/153 [==============================] - 0s 756us/step - loss: 0.5531 Epoch 60/100 153/153 [==============================] - 0s 743us/step - loss: 0.5511 Epoch 61/100 153/153 [==============================] - 0s 782us/step - loss: 0.5519 Epoch 62/100 153/153 [==============================] - 0s 789us/step - loss: 0.5480 Epoch 63/100 153/153 [==============================] - 0s 789us/step - loss: 0.5495 Epoch 64/100 153/153 [==============================] - 0s 776us/step - loss: 0.5497 Epoch 65/100 153/153 [==============================] - 0s 756us/step - loss: 0.5470 Epoch 66/100 153/153 [==============================] - 0s 756us/step - loss: 0.5480 Epoch 67/100 153/153 [==============================] - 0s 776us/step - loss: 0.5482 Epoch 68/100 153/153 [==============================] - 0s 789us/step - loss: 0.5474 Epoch 69/100 153/153 [==============================] - 0s 802us/step - loss: 0.5478 Epoch 70/100 153/153 [==============================] - 0s 750us/step - loss: 0.5473 Epoch 71/100 153/153 [==============================] - 0s 743us/step - loss: 0.5458 Epoch 72/100 153/153 [==============================] - 0s 776us/step - loss: 0.5478 Epoch 73/100 153/153 [==============================] - 0s 776us/step - loss: 0.5473 Epoch 74/100 153/153 [==============================] - 0s 756us/step - loss: 0.5472 Epoch 75/100 153/153 [==============================] - 0s 782us/step - loss: 0.5441 Epoch 76/100 153/153 [==============================] - 0s 743us/step - loss: 0.5467 Epoch 77/100 153/153 [==============================] - 0s 730us/step - loss: 0.5454 Epoch 78/100 153/153 [==============================] - 0s 776us/step - loss: 0.5438 Epoch 79/100 153/153 [==============================] - 0s 776us/step - loss: 0.5440 Epoch 80/100 153/153 [==============================] - 0s 743us/step - loss: 0.5427 Epoch 81/100 153/153 [==============================] - 0s 776us/step - loss: 0.5442 Epoch 82/100 153/153 [==============================] - 0s 782us/step - loss: 0.5450 Epoch 83/100 153/153 [==============================] - 0s 776us/step - loss: 0.5419 Epoch 84/100 153/153 [==============================] - 0s 782us/step - loss: 0.5427 Epoch 85/100 153/153 [==============================] - 0s 789us/step - loss: 0.5428 Epoch 86/100 153/153 [==============================] - 0s 769us/step - loss: 0.5427 Epoch 87/100 153/153 [==============================] - 0s 769us/step - loss: 0.5396 Epoch 88/100 153/153 [==============================] - 0s 782us/step - loss: 0.5406 Epoch 89/100 153/153 [==============================] - 0s 789us/step - loss: 0.5403 Epoch 90/100 153/153 [==============================] - 0s 743us/step - loss: 0.5408 Epoch 91/100 153/153 [==============================] - 0s 756us/step - loss: 0.5387 Epoch 92/100 153/153 [==============================] - 0s 763us/step - loss: 0.5395 Epoch 93/100 153/153 [==============================] - 0s 763us/step - loss: 0.5382 Epoch 94/100 153/153 [==============================] - 0s 769us/step - loss: 0.5383 Epoch 95/100 153/153 [==============================] - 0s 776us/step - loss: 0.5404 Epoch 96/100 153/153 [==============================] - 0s 769us/step - loss: 0.5389 Epoch 97/100 153/153 [==============================] - 0s 756us/step - loss: 0.5371 Epoch 98/100 153/153 [==============================] - 0s 730us/step - loss: 0.5378 Epoch 99/100 153/153 [==============================] - 0s 776us/step - loss: 0.5386 Epoch 100/100 153/153 [==============================] - 0s 763us/step - loss: 0.5368 ###################################################################### Accuracy: 71.82616772642737 Epoch 1/150 152/152 [==============================] - 0s 754us/step - loss: 1.0047 Epoch 2/150 152/152 [==============================] - 0s 741us/step - loss: 0.8992 Epoch 3/150 152/152 [==============================] - 0s 709us/step - loss: 0.7442 Epoch 4/150 152/152 [==============================] - 0s 689us/step - loss: 0.6703 Epoch 5/150 152/152 [==============================] - 0s 728us/step - loss: 0.6461 Epoch 6/150 152/152 [==============================] - 0s 715us/step - loss: 0.6405 Epoch 7/150 152/152 [==============================] - 0s 656us/step - loss: 0.6355 Epoch 8/150 152/152 [==============================] - 0s 722us/step - loss: 0.6324 Epoch 9/150 152/152 [==============================] - 0s 696us/step - loss: 0.6258 Epoch 10/150 152/152 [==============================] - 0s 709us/step - loss: 0.6240 Epoch 11/150 152/152 [==============================] - 0s 715us/step - loss: 0.6196 Epoch 12/150 152/152 [==============================] - 0s 663us/step - loss: 0.6149 Epoch 13/150 152/152 [==============================] - 0s 715us/step - loss: 0.6095 Epoch 14/150 152/152 [==============================] - 0s 728us/step - loss: 0.6032 Epoch 15/150 152/152 [==============================] - 0s 689us/step - loss: 0.6011 Epoch 16/150 152/152 [==============================] - 0s 741us/step - loss: 0.5939 Epoch 17/150 152/152 [==============================] - 0s 656us/step - loss: 0.5934 Epoch 18/150 152/152 [==============================] - 0s 722us/step - loss: 0.5871 Epoch 19/150 152/152 [==============================] - 0s 702us/step - loss: 0.5872 Epoch 20/150 152/152 [==============================] - 0s 663us/step - loss: 0.5820 Epoch 21/150 152/152 [==============================] - 0s 748us/step - loss: 0.5823 Epoch 22/150 152/152 [==============================] - 0s 702us/step - loss: 0.5785 Epoch 23/150 152/152 [==============================] - 0s 715us/step - loss: 0.5769 Epoch 24/150 152/152 [==============================] - 0s 709us/step - loss: 0.5762 Epoch 25/150 152/152 [==============================] - 0s 741us/step - loss: 0.5733 Epoch 26/150 152/152 [==============================] - 0s 696us/step - loss: 0.5728 Epoch 27/150 152/152 [==============================] - 0s 722us/step - loss: 0.5720 Epoch 28/150 152/152 [==============================] - 0s 702us/step - loss: 0.5710 Epoch 29/150 152/152 [==============================] - 0s 722us/step - loss: 0.5687 Epoch 30/150 152/152 [==============================] - 0s 755us/step - loss: 0.5684 Epoch 31/150 152/152 [==============================] - 0s 735us/step - loss: 0.5662 Epoch 32/150 152/152 [==============================] - 0s 755us/step - loss: 0.5670 Epoch 33/150 152/152 [==============================] - 0s 715us/step - loss: 0.5658 Epoch 34/150 152/152 [==============================] - 0s 702us/step - loss: 0.5655 Epoch 35/150 152/152 [==============================] - 0s 715us/step - loss: 0.5646 Epoch 36/150 152/152 [==============================] - 0s 695us/step - loss: 0.5639 Epoch 37/150 152/152 [==============================] - 0s 728us/step - loss: 0.5629 Epoch 38/150 152/152 [==============================] - 0s 709us/step - loss: 0.5617 Epoch 39/150 152/152 [==============================] - 0s 722us/step - loss: 0.5615 Epoch 40/150 152/152 [==============================] - 0s 741us/step - loss: 0.5607 Epoch 41/150 152/152 [==============================] - 0s 722us/step - loss: 0.5613 Epoch 42/150 152/152 [==============================] - 0s 728us/step - loss: 0.5576 Epoch 43/150 152/152 [==============================] - 0s 735us/step - loss: 0.5594 Epoch 44/150 152/152 [==============================] - 0s 722us/step - loss: 0.5594 Epoch 45/150 152/152 [==============================] - 0s 728us/step - loss: 0.5577 Epoch 46/150 152/152 [==============================] - 0s 728us/step - loss: 0.5575 Epoch 47/150 152/152 [==============================] - 0s 768us/step - loss: 0.5565 Epoch 48/150 152/152 [==============================] - 0s 715us/step - loss: 0.5563 0s - loss: 0.55 Epoch 49/150 152/152 [==============================] - 0s 741us/step - loss: 0.5569 Epoch 50/150 152/152 [==============================] - 0s 689us/step - loss: 0.5556 Epoch 51/150 152/152 [==============================] - 0s 735us/step - loss: 0.5534 Epoch 52/150 152/152 [==============================] - 0s 722us/step - loss: 0.5549 Epoch 53/150 152/152 [==============================] - 0s 768us/step - loss: 0.5514 Epoch 54/150 152/152 [==============================] - 0s 715us/step - loss: 0.5540 Epoch 55/150 152/152 [==============================] - 0s 702us/step - loss: 0.5520 Epoch 56/150 152/152 [==============================] - 0s 735us/step - loss: 0.5526 Epoch 57/150 152/152 [==============================] - 0s 735us/step - loss: 0.5492 Epoch 58/150 152/152 [==============================] - 0s 715us/step - loss: 0.5497 Epoch 59/150 152/152 [==============================] - 0s 722us/step - loss: 0.5499 Epoch 60/150 152/152 [==============================] - 0s 722us/step - loss: 0.5494 Epoch 61/150 152/152 [==============================] - 0s 728us/step - loss: 0.5488 Epoch 62/150 152/152 [==============================] - 0s 715us/step - loss: 0.5490 Epoch 63/150 152/152 [==============================] - 0s 702us/step - loss: 0.5467 Epoch 64/150 152/152 [==============================] - 0s 709us/step - loss: 0.5462 Epoch 65/150 152/152 [==============================] - 0s 741us/step - loss: 0.5455 Epoch 66/150 152/152 [==============================] - 0s 722us/step - loss: 0.5452 Epoch 67/150 152/152 [==============================] - 0s 715us/step - loss: 0.5433 Epoch 68/150 152/152 [==============================] - 0s 728us/step - loss: 0.5427 Epoch 69/150 152/152 [==============================] - 0s 748us/step - loss: 0.5407 Epoch 70/150 152/152 [==============================] - 0s 735us/step - loss: 0.5422 Epoch 71/150 152/152 [==============================] - 0s 735us/step - loss: 0.5380 Epoch 72/150 152/152 [==============================] - 0s 728us/step - loss: 0.5391 Epoch 73/150 152/152 [==============================] - 0s 735us/step - loss: 0.5407 Epoch 74/150 152/152 [==============================] - 0s 735us/step - loss: 0.5366 Epoch 75/150 152/152 [==============================] - 0s 702us/step - loss: 0.5369 Epoch 76/150 152/152 [==============================] - 0s 709us/step - loss: 0.5341 0s - loss: 0.57 Epoch 77/150 152/152 [==============================] - 0s 735us/step - loss: 0.5342 Epoch 78/150 152/152 [==============================] - 0s 715us/step - loss: 0.5335 Epoch 79/150 152/152 [==============================] - 0s 709us/step - loss: 0.5319 Epoch 80/150 152/152 [==============================] - 0s 709us/step - loss: 0.5320 Epoch 81/150 152/152 [==============================] - 0s 728us/step - loss: 0.5314 Epoch 82/150 152/152 [==============================] - 0s 741us/step - loss: 0.5318 Epoch 83/150 152/152 [==============================] - 0s 741us/step - loss: 0.5315 Epoch 84/150 152/152 [==============================] - 0s 735us/step - loss: 0.5277 Epoch 85/150 152/152 [==============================] - 0s 709us/step - loss: 0.5283 Epoch 86/150 152/152 [==============================] - 0s 722us/step - loss: 0.5286 Epoch 87/150 152/152 [==============================] - 0s 728us/step - loss: 0.5260 Epoch 88/150 152/152 [==============================] - 0s 722us/step - loss: 0.5264 Epoch 89/150 152/152 [==============================] - 0s 735us/step - loss: 0.5255 Epoch 90/150 152/152 [==============================] - 0s 702us/step - loss: 0.5243 Epoch 91/150 152/152 [==============================] - 0s 735us/step - loss: 0.5236 Epoch 92/150 152/152 [==============================] - 0s 728us/step - loss: 0.5239 Epoch 93/150 152/152 [==============================] - 0s 722us/step - loss: 0.5234 Epoch 94/150 152/152 [==============================] - 0s 715us/step - loss: 0.5218 Epoch 95/150 152/152 [==============================] - 0s 702us/step - loss: 0.5234 Epoch 96/150 152/152 [==============================] - 0s 715us/step - loss: 0.5198 Epoch 97/150 152/152 [==============================] - 0s 696us/step - loss: 0.5178 Epoch 98/150 152/152 [==============================] - 0s 748us/step - loss: 0.5212 Epoch 99/150 152/152 [==============================] - 0s 650us/step - loss: 0.5187 Epoch 100/150 152/152 [==============================] - 0s 709us/step - loss: 0.5182 Epoch 101/150 152/152 [==============================] - 0s 722us/step - loss: 0.5168 Epoch 102/150 152/152 [==============================] - 0s 689us/step - loss: 0.5181 Epoch 103/150 152/152 [==============================] - 0s 709us/step - loss: 0.5152 Epoch 104/150 152/152 [==============================] - 0s 663us/step - loss: 0.5153 Epoch 105/150 152/152 [==============================] - 0s 722us/step - loss: 0.5152 Epoch 106/150 152/152 [==============================] - 0s 702us/step - loss: 0.5129 Epoch 107/150 152/152 [==============================] - 0s 741us/step - loss: 0.5129 Epoch 108/150 152/152 [==============================] - 0s 735us/step - loss: 0.5127 Epoch 109/150 152/152 [==============================] - 0s 709us/step - loss: 0.5146 Epoch 110/150 152/152 [==============================] - 0s 702us/step - loss: 0.5102 Epoch 111/150 152/152 [==============================] - 0s 669us/step - loss: 0.5121 Epoch 112/150 152/152 [==============================] - 0s 728us/step - loss: 0.5116 Epoch 113/150 152/152 [==============================] - 0s 696us/step - loss: 0.5080 Epoch 114/150 152/152 [==============================] - 0s 715us/step - loss: 0.5101 Epoch 115/150 152/152 [==============================] - 0s 715us/step - loss: 0.5065 Epoch 116/150 152/152 [==============================] - 0s 722us/step - loss: 0.5098 Epoch 117/150 152/152 [==============================] - 0s 748us/step - loss: 0.5070 0s - loss: 0.49 Epoch 118/150 152/152 [==============================] - 0s 728us/step - loss: 0.5055 Epoch 119/150 152/152 [==============================] - 0s 689us/step - loss: 0.5076 Epoch 120/150 152/152 [==============================] - 0s 722us/step - loss: 0.5042 Epoch 121/150 152/152 [==============================] - 0s 722us/step - loss: 0.5048 Epoch 122/150 152/152 [==============================] - 0s 715us/step - loss: 0.5038 Epoch 123/150 152/152 [==============================] - 0s 741us/step - loss: 0.5041 Epoch 124/150 152/152 [==============================] - 0s 702us/step - loss: 0.5011 Epoch 125/150 152/152 [==============================] - 0s 761us/step - loss: 0.5031 Epoch 126/150 152/152 [==============================] - 0s 722us/step - loss: 0.5033 Epoch 127/150 152/152 [==============================] - 0s 709us/step - loss: 0.4978 Epoch 128/150 152/152 [==============================] - 0s 669us/step - loss: 0.5025 Epoch 129/150 152/152 [==============================] - 0s 715us/step - loss: 0.4994 Epoch 130/150 152/152 [==============================] - 0s 709us/step - loss: 0.4985 Epoch 131/150 152/152 [==============================] - 0s 715us/step - loss: 0.4992 Epoch 132/150 152/152 [==============================] - 0s 709us/step - loss: 0.4985 Epoch 133/150 152/152 [==============================] - 0s 722us/step - loss: 0.4949 Epoch 134/150 152/152 [==============================] - 0s 702us/step - loss: 0.4954 Epoch 135/150 152/152 [==============================] - 0s 722us/step - loss: 0.4978 Epoch 136/150 152/152 [==============================] - 0s 702us/step - loss: 0.4924 Epoch 137/150 152/152 [==============================] - 0s 748us/step - loss: 0.4939 Epoch 138/150 152/152 [==============================] - 0s 682us/step - loss: 0.4938 Epoch 139/150 152/152 [==============================] - 0s 722us/step - loss: 0.4939 Epoch 140/150 152/152 [==============================] - 0s 741us/step - loss: 0.4942 Epoch 141/150 152/152 [==============================] - 0s 755us/step - loss: 0.4929 Epoch 142/150 152/152 [==============================] - 0s 741us/step - loss: 0.4925 Epoch 143/150 152/152 [==============================] - 0s 735us/step - loss: 0.4896 Epoch 144/150 152/152 [==============================] - 0s 702us/step - loss: 0.4914 Epoch 145/150 152/152 [==============================] - 0s 663us/step - loss: 0.4887 Epoch 146/150 152/152 [==============================] - 0s 728us/step - loss: 0.4920 Epoch 147/150 152/152 [==============================] - 0s 728us/step - loss: 0.4856 Epoch 148/150 152/152 [==============================] - 0s 715us/step - loss: 0.4895 Epoch 149/150 152/152 [==============================] - 0s 709us/step - loss: 0.4885 Epoch 150/150 152/152 [==============================] - 0s 722us/step - loss: 0.4879 ###################################################################### Accuracy: 70.26597346707418 Epoch 1/150 153/153 [==============================] - 0s 763us/step - loss: 0.9609 Epoch 2/150 153/153 [==============================] - 0s 789us/step - loss: 0.8194 Epoch 3/150 153/153 [==============================] - 0s 756us/step - loss: 0.6898 Epoch 4/150 153/153 [==============================] - 0s 808us/step - loss: 0.6547 Epoch 5/150 153/153 [==============================] - 0s 769us/step - loss: 0.6467 Epoch 6/150 153/153 [==============================] - 0s 789us/step - loss: 0.6420 Epoch 7/150 153/153 [==============================] - 0s 782us/step - loss: 0.6395 Epoch 8/150 153/153 [==============================] - 0s 737us/step - loss: 0.6365 Epoch 9/150 153/153 [==============================] - 0s 795us/step - loss: 0.6319 Epoch 10/150 153/153 [==============================] - 0s 776us/step - loss: 0.6301 Epoch 11/150 153/153 [==============================] - 0s 756us/step - loss: 0.6235 Epoch 12/150 153/153 [==============================] - 0s 795us/step - loss: 0.6213 Epoch 13/150 153/153 [==============================] - 0s 756us/step - loss: 0.6191 Epoch 14/150 153/153 [==============================] - 0s 763us/step - loss: 0.6156 Epoch 15/150 153/153 [==============================] - 0s 802us/step - loss: 0.6126 Epoch 16/150 153/153 [==============================] - 0s 782us/step - loss: 0.6083 Epoch 17/150 153/153 [==============================] - 0s 769us/step - loss: 0.6059 Epoch 18/150 153/153 [==============================] - 0s 789us/step - loss: 0.6005 Epoch 19/150 153/153 [==============================] - 0s 769us/step - loss: 0.5996 Epoch 20/150 153/153 [==============================] - 0s 782us/step - loss: 0.5957 Epoch 21/150 153/153 [==============================] - 0s 756us/step - loss: 0.5908 Epoch 22/150 153/153 [==============================] - 0s 782us/step - loss: 0.5887 Epoch 23/150 153/153 [==============================] - 0s 789us/step - loss: 0.5868 Epoch 24/150 153/153 [==============================] - 0s 789us/step - loss: 0.5835 Epoch 25/150 153/153 [==============================] - 0s 756us/step - loss: 0.5810 Epoch 26/150 153/153 [==============================] - 0s 808us/step - loss: 0.5790 Epoch 27/150 153/153 [==============================] - 0s 776us/step - loss: 0.5793 Epoch 28/150 153/153 [==============================] - 0s 763us/step - loss: 0.5773 Epoch 29/150 153/153 [==============================] - 0s 743us/step - loss: 0.5773 Epoch 30/150 153/153 [==============================] - 0s 776us/step - loss: 0.5752 Epoch 31/150 153/153 [==============================] - 0s 782us/step - loss: 0.5736 Epoch 32/150 153/153 [==============================] - 0s 782us/step - loss: 0.5735 Epoch 33/150 153/153 [==============================] - 0s 750us/step - loss: 0.5721 Epoch 34/150 153/153 [==============================] - 0s 743us/step - loss: 0.5703 Epoch 35/150 153/153 [==============================] - 0s 763us/step - loss: 0.5690 Epoch 36/150 153/153 [==============================] - 0s 782us/step - loss: 0.5684 Epoch 37/150 153/153 [==============================] - 0s 815us/step - loss: 0.5673 Epoch 38/150 153/153 [==============================] - 0s 789us/step - loss: 0.5664 Epoch 39/150 153/153 [==============================] - 0s 763us/step - loss: 0.5639 Epoch 40/150 153/153 [==============================] - 0s 782us/step - loss: 0.5641 Epoch 41/150 153/153 [==============================] - 0s 750us/step - loss: 0.5634 Epoch 42/150 153/153 [==============================] - 0s 782us/step - loss: 0.5610 Epoch 43/150 153/153 [==============================] - 0s 789us/step - loss: 0.5608 Epoch 44/150 153/153 [==============================] - 0s 737us/step - loss: 0.5609 Epoch 45/150 153/153 [==============================] - 0s 763us/step - loss: 0.5603 Epoch 46/150 153/153 [==============================] - 0s 789us/step - loss: 0.5585 Epoch 47/150 153/153 [==============================] - 0s 769us/step - loss: 0.5577 Epoch 48/150 153/153 [==============================] - 0s 730us/step - loss: 0.5572 Epoch 49/150 153/153 [==============================] - 0s 795us/step - loss: 0.5559 Epoch 50/150 153/153 [==============================] - 0s 802us/step - loss: 0.5541 Epoch 51/150 153/153 [==============================] - 0s 750us/step - loss: 0.5530 Epoch 52/150 153/153 [==============================] - 0s 795us/step - loss: 0.5537 Epoch 53/150 153/153 [==============================] - 0s 782us/step - loss: 0.5503 Epoch 54/150 153/153 [==============================] - 0s 782us/step - loss: 0.5505 Epoch 55/150 153/153 [==============================] - 0s 789us/step - loss: 0.5491 Epoch 56/150 153/153 [==============================] - 0s 750us/step - loss: 0.5478 Epoch 57/150 153/153 [==============================] - 0s 750us/step - loss: 0.5470 Epoch 58/150 153/153 [==============================] - 0s 776us/step - loss: 0.5468 Epoch 59/150 153/153 [==============================] - 0s 756us/step - loss: 0.5446 Epoch 60/150 153/153 [==============================] - 0s 776us/step - loss: 0.5431 Epoch 61/150 153/153 [==============================] - 0s 795us/step - loss: 0.5436 Epoch 62/150 153/153 [==============================] - 0s 769us/step - loss: 0.5439 Epoch 63/150 153/153 [==============================] - 0s 776us/step - loss: 0.5425 Epoch 64/150 153/153 [==============================] - 0s 769us/step - loss: 0.5435 Epoch 65/150 153/153 [==============================] - 0s 750us/step - loss: 0.5408 Epoch 66/150 153/153 [==============================] - 0s 789us/step - loss: 0.5385 Epoch 67/150 153/153 [==============================] - 0s 763us/step - loss: 0.5386 Epoch 68/150 153/153 [==============================] - 0s 750us/step - loss: 0.5403 Epoch 69/150 153/153 [==============================] - 0s 776us/step - loss: 0.5393 Epoch 70/150 153/153 [==============================] - 0s 782us/step - loss: 0.5387 Epoch 71/150 153/153 [==============================] - 0s 769us/step - loss: 0.5380 Epoch 72/150 153/153 [==============================] - 0s 789us/step - loss: 0.5390 Epoch 73/150 153/153 [==============================] - 0s 769us/step - loss: 0.5363 Epoch 74/150 153/153 [==============================] - 0s 789us/step - loss: 0.5347 Epoch 75/150 153/153 [==============================] - 0s 769us/step - loss: 0.5351 Epoch 76/150 153/153 [==============================] - 0s 789us/step - loss: 0.5354 Epoch 77/150 153/153 [==============================] - 0s 769us/step - loss: 0.5365 Epoch 78/150 153/153 [==============================] - 0s 789us/step - loss: 0.5351 Epoch 79/150 153/153 [==============================] - 0s 808us/step - loss: 0.5335 Epoch 80/150 153/153 [==============================] - 0s 743us/step - loss: 0.5343 Epoch 81/150 153/153 [==============================] - 0s 782us/step - loss: 0.5315 Epoch 82/150 153/153 [==============================] - 0s 782us/step - loss: 0.5342 0s - loss: 0.515 Epoch 83/150 153/153 [==============================] - 0s 776us/step - loss: 0.5314 Epoch 84/150 153/153 [==============================] - 0s 795us/step - loss: 0.5309 Epoch 85/150 153/153 [==============================] - 0s 763us/step - loss: 0.5316 Epoch 86/150 153/153 [==============================] - 0s 776us/step - loss: 0.5298 Epoch 87/150 153/153 [==============================] - 0s 795us/step - loss: 0.5259 Epoch 88/150 153/153 [==============================] - 0s 789us/step - loss: 0.5314 Epoch 89/150 153/153 [==============================] - 0s 789us/step - loss: 0.5287 Epoch 90/150 153/153 [==============================] - 0s 756us/step - loss: 0.5292 Epoch 91/150 153/153 [==============================] - 0s 776us/step - loss: 0.5254 Epoch 92/150 153/153 [==============================] - 0s 769us/step - loss: 0.5292 Epoch 93/150 153/153 [==============================] - 0s 769us/step - loss: 0.5256 Epoch 94/150 153/153 [==============================] - 0s 782us/step - loss: 0.5267 Epoch 95/150 153/153 [==============================] - 0s 769us/step - loss: 0.5281 Epoch 96/150 153/153 [==============================] - 0s 789us/step - loss: 0.5257 Epoch 97/150 153/153 [==============================] - 0s 763us/step - loss: 0.5266 Epoch 98/150 153/153 [==============================] - 0s 795us/step - loss: 0.5282 Epoch 99/150 153/153 [==============================] - 0s 795us/step - loss: 0.5248 Epoch 100/150 153/153 [==============================] - 0s 756us/step - loss: 0.5247 Epoch 101/150 153/153 [==============================] - 0s 776us/step - loss: 0.5246 Epoch 102/150 153/153 [==============================] - 0s 795us/step - loss: 0.5227 Epoch 103/150 153/153 [==============================] - 0s 795us/step - loss: 0.5249 Epoch 104/150 153/153 [==============================] - 0s 802us/step - loss: 0.5248 Epoch 105/150 153/153 [==============================] - 0s 782us/step - loss: 0.5230 Epoch 106/150 153/153 [==============================] - 0s 750us/step - loss: 0.5234 Epoch 107/150 153/153 [==============================] - 0s 769us/step - loss: 0.5223 Epoch 108/150 153/153 [==============================] - 0s 776us/step - loss: 0.5204 Epoch 109/150 153/153 [==============================] - 0s 756us/step - loss: 0.5210 Epoch 110/150 153/153 [==============================] - 0s 795us/step - loss: 0.5219 Epoch 111/150 153/153 [==============================] - 0s 776us/step - loss: 0.5227 Epoch 112/150 153/153 [==============================] - 0s 763us/step - loss: 0.5210 Epoch 113/150 153/153 [==============================] - 0s 769us/step - loss: 0.5188 Epoch 114/150 153/153 [==============================] - 0s 795us/step - loss: 0.5214 Epoch 115/150 153/153 [==============================] - 0s 756us/step - loss: 0.5182 Epoch 116/150 153/153 [==============================] - 0s 763us/step - loss: 0.5189 Epoch 117/150 153/153 [==============================] - 0s 789us/step - loss: 0.5187 Epoch 118/150 153/153 [==============================] - 0s 769us/step - loss: 0.5188 Epoch 119/150 153/153 [==============================] - 0s 782us/step - loss: 0.5173 Epoch 120/150 153/153 [==============================] - 0s 769us/step - loss: 0.5202 Epoch 121/150 153/153 [==============================] - 0s 743us/step - loss: 0.5181 Epoch 122/150 153/153 [==============================] - ETA: 0s - loss: 0.511 - 0s 743us/step - loss: 0.5167 Epoch 123/150 153/153 [==============================] - 0s 776us/step - loss: 0.5165 Epoch 124/150 153/153 [==============================] - 0s 763us/step - loss: 0.5165 Epoch 125/150 153/153 [==============================] - 0s 776us/step - loss: 0.5163 Epoch 126/150 153/153 [==============================] - 0s 952us/step - loss: 0.5173 Epoch 127/150 153/153 [==============================] - 0s 828us/step - loss: 0.5160 Epoch 128/150 153/153 [==============================] - 0s 769us/step - loss: 0.5159 Epoch 129/150 153/153 [==============================] - 0s 763us/step - loss: 0.5166 Epoch 130/150 153/153 [==============================] - 0s 763us/step - loss: 0.5157 Epoch 131/150 153/153 [==============================] - 0s 789us/step - loss: 0.5137 Epoch 132/150 153/153 [==============================] - 0s 750us/step - loss: 0.5143 Epoch 133/150 153/153 [==============================] - 0s 737us/step - loss: 0.5166 Epoch 134/150 153/153 [==============================] - 0s 737us/step - loss: 0.5153 Epoch 135/150 153/153 [==============================] - 0s 750us/step - loss: 0.5154 Epoch 136/150 153/153 [==============================] - 0s 743us/step - loss: 0.5162 Epoch 137/150 153/153 [==============================] - 0s 763us/step - loss: 0.5140 Epoch 138/150 153/153 [==============================] - 0s 756us/step - loss: 0.5155 Epoch 139/150 153/153 [==============================] - 0s 737us/step - loss: 0.5129 Epoch 140/150 153/153 [==============================] - 0s 769us/step - loss: 0.5141 Epoch 141/150 153/153 [==============================] - 0s 743us/step - loss: 0.5138 Epoch 142/150 153/153 [==============================] - 0s 769us/step - loss: 0.5129 Epoch 143/150 153/153 [==============================] - 0s 763us/step - loss: 0.5115 Epoch 144/150 153/153 [==============================] - 0s 743us/step - loss: 0.5116 Epoch 145/150 153/153 [==============================] - 0s 737us/step - loss: 0.5106 Epoch 146/150 153/153 [==============================] - 0s 763us/step - loss: 0.5099 Epoch 147/150 153/153 [==============================] - 0s 756us/step - loss: 0.5134 Epoch 148/150 153/153 [==============================] - 0s 730us/step - loss: 0.5127 Epoch 149/150 153/153 [==============================] - 0s 776us/step - loss: 0.5093 Epoch 150/150 153/153 [==============================] - 0s 795us/step - loss: 0.5089 ###################################################################### Accuracy: 68.21901303149721 Epoch 1/150 153/153 [==============================] - 0s 776us/step - loss: 0.9629 Epoch 2/150 153/153 [==============================] - 0s 776us/step - loss: 0.8524 Epoch 3/150 153/153 [==============================] - 0s 756us/step - loss: 0.7055 Epoch 4/150 153/153 [==============================] - 0s 789us/step - loss: 0.6402 Epoch 5/150 153/153 [==============================] - 0s 795us/step - loss: 0.6259 Epoch 6/150 153/153 [==============================] - 0s 776us/step - loss: 0.6192 Epoch 7/150 153/153 [==============================] - 0s 789us/step - loss: 0.6144 Epoch 8/150 153/153 [==============================] - 0s 776us/step - loss: 0.6095 Epoch 9/150 153/153 [==============================] - 0s 795us/step - loss: 0.6060 Epoch 10/150 153/153 [==============================] - 0s 802us/step - loss: 0.6005 Epoch 11/150 153/153 [==============================] - 0s 782us/step - loss: 0.5976 Epoch 12/150 153/153 [==============================] - 0s 795us/step - loss: 0.5937 Epoch 13/150 153/153 [==============================] - 0s 782us/step - loss: 0.5916 Epoch 14/150 153/153 [==============================] - 0s 782us/step - loss: 0.5901 Epoch 15/150 153/153 [==============================] - 0s 763us/step - loss: 0.5878 Epoch 16/150 153/153 [==============================] - 0s 782us/step - loss: 0.5863 Epoch 17/150 153/153 [==============================] - 0s 795us/step - loss: 0.5829 Epoch 18/150 153/153 [==============================] - 0s 789us/step - loss: 0.5822 Epoch 19/150 153/153 [==============================] - 0s 756us/step - loss: 0.5800 Epoch 20/150 153/153 [==============================] - 0s 769us/step - loss: 0.5787 Epoch 21/150 153/153 [==============================] - 0s 743us/step - loss: 0.5762 Epoch 22/150 153/153 [==============================] - 0s 802us/step - loss: 0.5738 Epoch 23/150 153/153 [==============================] - 0s 756us/step - loss: 0.5745 Epoch 24/150 153/153 [==============================] - 0s 782us/step - loss: 0.5724 Epoch 25/150 153/153 [==============================] - 0s 763us/step - loss: 0.5698 Epoch 26/150 153/153 [==============================] - 0s 789us/step - loss: 0.5680 Epoch 27/150 153/153 [==============================] - 0s 782us/step - loss: 0.5687 Epoch 28/150 153/153 [==============================] - 0s 782us/step - loss: 0.5674 Epoch 29/150 153/153 [==============================] - 0s 789us/step - loss: 0.5653 Epoch 30/150 153/153 [==============================] - 0s 795us/step - loss: 0.5652 Epoch 31/150 153/153 [==============================] - 0s 763us/step - loss: 0.5635 Epoch 32/150 153/153 [==============================] - 0s 776us/step - loss: 0.5643 Epoch 33/150 153/153 [==============================] - 0s 795us/step - loss: 0.5631 Epoch 34/150 153/153 [==============================] - 0s 730us/step - loss: 0.5633 Epoch 35/150 153/153 [==============================] - 0s 776us/step - loss: 0.5627 Epoch 36/150 153/153 [==============================] - 0s 782us/step - loss: 0.5627 Epoch 37/150 153/153 [==============================] - 0s 750us/step - loss: 0.5617 Epoch 38/150 153/153 [==============================] - 0s 756us/step - loss: 0.5611 Epoch 39/150 153/153 [==============================] - 0s 763us/step - loss: 0.5605 Epoch 40/150 153/153 [==============================] - 0s 782us/step - loss: 0.5600 Epoch 41/150 153/153 [==============================] - 0s 782us/step - loss: 0.5600 Epoch 42/150 153/153 [==============================] - 0s 795us/step - loss: 0.5578 Epoch 43/150 153/153 [==============================] - 0s 737us/step - loss: 0.5573 Epoch 44/150 153/153 [==============================] - 0s 769us/step - loss: 0.5571 Epoch 45/150 153/153 [==============================] - 0s 756us/step - loss: 0.5575 Epoch 46/150 153/153 [==============================] - 0s 743us/step - loss: 0.5572 Epoch 47/150 153/153 [==============================] - 0s 756us/step - loss: 0.5560 Epoch 48/150 153/153 [==============================] - 0s 763us/step - loss: 0.5554 Epoch 49/150 153/153 [==============================] - 0s 769us/step - loss: 0.5548 Epoch 50/150 153/153 [==============================] - 0s 769us/step - loss: 0.5544 Epoch 51/150 153/153 [==============================] - 0s 763us/step - loss: 0.5531 Epoch 52/150 153/153 [==============================] - 0s 782us/step - loss: 0.5527 Epoch 53/150 153/153 [==============================] - 0s 795us/step - loss: 0.5527 Epoch 54/150 153/153 [==============================] - 0s 769us/step - loss: 0.5499 Epoch 55/150 153/153 [==============================] - 0s 763us/step - loss: 0.5502 Epoch 56/150 153/153 [==============================] - 0s 782us/step - loss: 0.5508 Epoch 57/150 153/153 [==============================] - 0s 789us/step - loss: 0.5496 Epoch 58/150 153/153 [==============================] - 0s 776us/step - loss: 0.5493 Epoch 59/150 153/153 [==============================] - 0s 737us/step - loss: 0.5473 Epoch 60/150 153/153 [==============================] - 0s 743us/step - loss: 0.5464 Epoch 61/150 153/153 [==============================] - 0s 782us/step - loss: 0.5462 Epoch 62/150 153/153 [==============================] - 0s 763us/step - loss: 0.5447 Epoch 63/150 153/153 [==============================] - 0s 730us/step - loss: 0.5437 Epoch 64/150 153/153 [==============================] - 0s 782us/step - loss: 0.5424 Epoch 65/150 153/153 [==============================] - 0s 776us/step - loss: 0.5432 Epoch 66/150 153/153 [==============================] - 0s 763us/step - loss: 0.5434 Epoch 67/150 153/153 [==============================] - 0s 776us/step - loss: 0.5430 Epoch 68/150 153/153 [==============================] - 0s 763us/step - loss: 0.5396 Epoch 69/150 153/153 [==============================] - 0s 763us/step - loss: 0.5419 Epoch 70/150 153/153 [==============================] - 0s 776us/step - loss: 0.5399 Epoch 71/150 153/153 [==============================] - 0s 743us/step - loss: 0.5383 Epoch 72/150 153/153 [==============================] - 0s 769us/step - loss: 0.5378 Epoch 73/150 153/153 [==============================] - 0s 724us/step - loss: 0.5388 Epoch 74/150 153/153 [==============================] - 0s 737us/step - loss: 0.5367 Epoch 75/150 153/153 [==============================] - 0s 763us/step - loss: 0.5371 Epoch 76/150 153/153 [==============================] - 0s 750us/step - loss: 0.5373 Epoch 77/150 153/153 [==============================] - 0s 763us/step - loss: 0.5361 Epoch 78/150 153/153 [==============================] - 0s 724us/step - loss: 0.5362 Epoch 79/150 153/153 [==============================] - 0s 763us/step - loss: 0.5348 Epoch 80/150 153/153 [==============================] - 0s 750us/step - loss: 0.5339 Epoch 81/150 153/153 [==============================] - 0s 763us/step - loss: 0.5345 Epoch 82/150 153/153 [==============================] - 0s 763us/step - loss: 0.5328 Epoch 83/150 153/153 [==============================] - 0s 730us/step - loss: 0.5319 Epoch 84/150 153/153 [==============================] - 0s 769us/step - loss: 0.5341 Epoch 85/150 153/153 [==============================] - 0s 769us/step - loss: 0.5310 Epoch 86/150 153/153 [==============================] - 0s 763us/step - loss: 0.5327 Epoch 87/150 153/153 [==============================] - 0s 776us/step - loss: 0.5299 Epoch 88/150 153/153 [==============================] - 0s 750us/step - loss: 0.5299 Epoch 89/150 153/153 [==============================] - 0s 776us/step - loss: 0.5302 Epoch 90/150 153/153 [==============================] - 0s 763us/step - loss: 0.5317 Epoch 91/150 153/153 [==============================] - 0s 756us/step - loss: 0.5287 Epoch 92/150 153/153 [==============================] - 0s 737us/step - loss: 0.5276 Epoch 93/150 153/153 [==============================] - 0s 750us/step - loss: 0.5290 Epoch 94/150 153/153 [==============================] - 0s 763us/step - loss: 0.5294 Epoch 95/150 153/153 [==============================] - 0s 756us/step - loss: 0.5280 Epoch 96/150 153/153 [==============================] - 0s 776us/step - loss: 0.5255 Epoch 97/150 153/153 [==============================] - 0s 750us/step - loss: 0.5236 Epoch 98/150 153/153 [==============================] - 0s 743us/step - loss: 0.5268 Epoch 99/150 153/153 [==============================] - 0s 763us/step - loss: 0.5255 Epoch 100/150 153/153 [==============================] - 0s 769us/step - loss: 0.5239 Epoch 101/150 153/153 [==============================] - 0s 756us/step - loss: 0.5251 Epoch 102/150 153/153 [==============================] - 0s 756us/step - loss: 0.5242 Epoch 103/150 153/153 [==============================] - 0s 763us/step - loss: 0.5232 Epoch 104/150 153/153 [==============================] - 0s 782us/step - loss: 0.5237 Epoch 105/150 153/153 [==============================] - 0s 776us/step - loss: 0.5253 Epoch 106/150 153/153 [==============================] - 0s 743us/step - loss: 0.5241 Epoch 107/150 153/153 [==============================] - 0s 789us/step - loss: 0.5223 Epoch 108/150 153/153 [==============================] - 0s 769us/step - loss: 0.5224 Epoch 109/150 153/153 [==============================] - 0s 756us/step - loss: 0.5217 Epoch 110/150 153/153 [==============================] - 0s 750us/step - loss: 0.5215 Epoch 111/150 153/153 [==============================] - 0s 750us/step - loss: 0.5209 Epoch 112/150 153/153 [==============================] - 0s 776us/step - loss: 0.5191 Epoch 113/150 153/153 [==============================] - 0s 763us/step - loss: 0.5210 Epoch 114/150 153/153 [==============================] - 0s 769us/step - loss: 0.5218 Epoch 115/150 153/153 [==============================] - 0s 776us/step - loss: 0.5211 Epoch 116/150 153/153 [==============================] - 0s 776us/step - loss: 0.5190 Epoch 117/150 153/153 [==============================] - 0s 769us/step - loss: 0.5130 Epoch 118/150 153/153 [==============================] - 0s 828us/step - loss: 0.5210 Epoch 119/150 153/153 [==============================] - 0s 737us/step - loss: 0.5193 Epoch 120/150 153/153 [==============================] - 0s 789us/step - loss: 0.5212 Epoch 121/150 153/153 [==============================] - 0s 776us/step - loss: 0.5199 Epoch 122/150 153/153 [==============================] - 0s 782us/step - loss: 0.5198 Epoch 123/150 153/153 [==============================] - 0s 737us/step - loss: 0.5174 Epoch 124/150 153/153 [==============================] - 0s 750us/step - loss: 0.5199 Epoch 125/150 153/153 [==============================] - 0s 763us/step - loss: 0.5187 Epoch 126/150 153/153 [==============================] - 0s 724us/step - loss: 0.5146 Epoch 127/150 153/153 [==============================] - 0s 756us/step - loss: 0.5176 Epoch 128/150 153/153 [==============================] - 0s 769us/step - loss: 0.5180 Epoch 129/150 153/153 [==============================] - 0s 769us/step - loss: 0.5183 Epoch 130/150 153/153 [==============================] - 0s 789us/step - loss: 0.5158 Epoch 131/150 153/153 [==============================] - 0s 724us/step - loss: 0.5171 Epoch 132/150 153/153 [==============================] - 0s 743us/step - loss: 0.5174 Epoch 133/150 153/153 [==============================] - 0s 724us/step - loss: 0.5181 Epoch 134/150 153/153 [==============================] - 0s 750us/step - loss: 0.5167 Epoch 135/150 153/153 [==============================] - 0s 763us/step - loss: 0.5151 Epoch 136/150 153/153 [==============================] - 0s 737us/step - loss: 0.5158 Epoch 137/150 153/153 [==============================] - 0s 763us/step - loss: 0.5168 Epoch 138/150 153/153 [==============================] - 0s 756us/step - loss: 0.5154 Epoch 139/150 153/153 [==============================] - 0s 769us/step - loss: 0.5163 Epoch 140/150 153/153 [==============================] - 0s 756us/step - loss: 0.5143 Epoch 141/150 153/153 [==============================] - 0s 743us/step - loss: 0.5130 Epoch 142/150 153/153 [==============================] - 0s 776us/step - loss: 0.5172 Epoch 143/150 153/153 [==============================] - ETA: 0s - loss: 0.510 - 0s 750us/step - loss: 0.5152 Epoch 144/150 153/153 [==============================] - 0s 750us/step - loss: 0.5150 Epoch 145/150 153/153 [==============================] - 0s 782us/step - loss: 0.5119 Epoch 146/150 153/153 [==============================] - 0s 756us/step - loss: 0.5140 Epoch 147/150 153/153 [==============================] - 0s 802us/step - loss: 0.5144 Epoch 148/150 153/153 [==============================] - 0s 756us/step - loss: 0.5126 Epoch 149/150 153/153 [==============================] - 0s 743us/step - loss: 0.5145 Epoch 150/150 153/153 [==============================] - 0s 776us/step - loss: 0.5120 ###################################################################### Accuracy: 94.89521476328589 Epoch 1/150 153/153 [==============================] - 0s 807us/step - loss: 1.0075 Epoch 2/150 153/153 [==============================] - 0s 756us/step - loss: 0.9089 Epoch 3/150 153/153 [==============================] - 0s 756us/step - loss: 0.7742 Epoch 4/150 153/153 [==============================] - 0s 782us/step - loss: 0.6984 Epoch 5/150 153/153 [==============================] - 0s 795us/step - loss: 0.6597 Epoch 6/150 153/153 [==============================] - 0s 750us/step - loss: 0.6499 Epoch 7/150 153/153 [==============================] - 0s 763us/step - loss: 0.6403 Epoch 8/150 153/153 [==============================] - 0s 802us/step - loss: 0.6344 Epoch 9/150 153/153 [==============================] - 0s 808us/step - loss: 0.6292 Epoch 10/150 153/153 [==============================] - 0s 750us/step - loss: 0.6255 Epoch 11/150 153/153 [==============================] - 0s 756us/step - loss: 0.6200 Epoch 12/150 153/153 [==============================] - 0s 776us/step - loss: 0.6177 Epoch 13/150 153/153 [==============================] - 0s 795us/step - loss: 0.6159 Epoch 14/150 153/153 [==============================] - 0s 750us/step - loss: 0.6132 Epoch 15/150 153/153 [==============================] - 0s 750us/step - loss: 0.6103 Epoch 16/150 153/153 [==============================] - 0s 756us/step - loss: 0.6096 Epoch 17/150 153/153 [==============================] - 0s 769us/step - loss: 0.6064 Epoch 18/150 153/153 [==============================] - 0s 763us/step - loss: 0.6058 Epoch 19/150 153/153 [==============================] - 0s 776us/step - loss: 0.6024 Epoch 20/150 153/153 [==============================] - 0s 763us/step - loss: 0.6013 Epoch 21/150 153/153 [==============================] - 0s 776us/step - loss: 0.6001 Epoch 22/150 153/153 [==============================] - 0s 737us/step - loss: 0.5984 Epoch 23/150 153/153 [==============================] - 0s 782us/step - loss: 0.5979 Epoch 24/150 153/153 [==============================] - 0s 743us/step - loss: 0.5967 Epoch 25/150 153/153 [==============================] - 0s 802us/step - loss: 0.5946 Epoch 26/150 153/153 [==============================] - 0s 763us/step - loss: 0.5916 Epoch 27/150 153/153 [==============================] - 0s 730us/step - loss: 0.5913 Epoch 28/150 153/153 [==============================] - 0s 750us/step - loss: 0.5900 Epoch 29/150 153/153 [==============================] - 0s 717us/step - loss: 0.5862 Epoch 30/150 153/153 [==============================] - 0s 782us/step - loss: 0.5871 Epoch 31/150 153/153 [==============================] - 0s 802us/step - loss: 0.5857 Epoch 32/150 153/153 [==============================] - 0s 750us/step - loss: 0.5855 Epoch 33/150 153/153 [==============================] - 0s 743us/step - loss: 0.5842 Epoch 34/150 153/153 [==============================] - 0s 789us/step - loss: 0.5821 Epoch 35/150 153/153 [==============================] - 0s 763us/step - loss: 0.5805 Epoch 36/150 153/153 [==============================] - 0s 750us/step - loss: 0.5818 Epoch 37/150 153/153 [==============================] - 0s 815us/step - loss: 0.5779 Epoch 38/150 153/153 [==============================] - 0s 782us/step - loss: 0.5755 Epoch 39/150 153/153 [==============================] - 0s 789us/step - loss: 0.5786 Epoch 40/150 153/153 [==============================] - 0s 782us/step - loss: 0.5782 Epoch 41/150 153/153 [==============================] - 0s 776us/step - loss: 0.5769 Epoch 42/150 153/153 [==============================] - 0s 763us/step - loss: 0.5741 Epoch 43/150 153/153 [==============================] - 0s 769us/step - loss: 0.5758 Epoch 44/150 153/153 [==============================] - 0s 789us/step - loss: 0.5738 Epoch 45/150 153/153 [==============================] - 0s 776us/step - loss: 0.5762 Epoch 46/150 153/153 [==============================] - 0s 782us/step - loss: 0.5765 Epoch 47/150 153/153 [==============================] - 0s 769us/step - loss: 0.5746 Epoch 48/150 153/153 [==============================] - 0s 795us/step - loss: 0.5736 Epoch 49/150 153/153 [==============================] - 0s 795us/step - loss: 0.5720 Epoch 50/150 153/153 [==============================] - 0s 776us/step - loss: 0.5723 Epoch 51/150 153/153 [==============================] - 0s 769us/step - loss: 0.5715 Epoch 52/150 153/153 [==============================] - 0s 880us/step - loss: 0.5734 Epoch 53/150 153/153 [==============================] - 0s 1ms/step - loss: 0.5729 Epoch 54/150 153/153 [==============================] - 0s 756us/step - loss: 0.5697 Epoch 55/150 153/153 [==============================] - 0s 717us/step - loss: 0.5714 Epoch 56/150 153/153 [==============================] - 0s 658us/step - loss: 0.5721 Epoch 57/150 153/153 [==============================] - 0s 671us/step - loss: 0.5705 Epoch 58/150 153/153 [==============================] - 0s 632us/step - loss: 0.5688 Epoch 59/150 153/153 [==============================] - 0s 606us/step - loss: 0.5700 Epoch 60/150 153/153 [==============================] - 0s 658us/step - loss: 0.5711 Epoch 61/150 153/153 [==============================] - 0s 652us/step - loss: 0.5671 Epoch 62/150 153/153 [==============================] - 0s 900us/step - loss: 0.5699 Epoch 63/150 153/153 [==============================] - 0s 991us/step - loss: 0.5681 Epoch 64/150 153/153 [==============================] - 0s 776us/step - loss: 0.5683 Epoch 65/150 153/153 [==============================] - 0s 750us/step - loss: 0.5703 Epoch 66/150 153/153 [==============================] - 0s 815us/step - loss: 0.5681 Epoch 67/150 153/153 [==============================] - 0s 756us/step - loss: 0.5681 Epoch 68/150 153/153 [==============================] - 0s 776us/step - loss: 0.5673 Epoch 69/150 153/153 [==============================] - 0s 802us/step - loss: 0.5658 Epoch 70/150 153/153 [==============================] - 0s 821us/step - loss: 0.5654 Epoch 71/150 153/153 [==============================] - 0s 756us/step - loss: 0.5664 Epoch 72/150 153/153 [==============================] - 0s 795us/step - loss: 0.5669 Epoch 73/150 153/153 [==============================] - 0s 789us/step - loss: 0.5625 Epoch 74/150 153/153 [==============================] - 0s 795us/step - loss: 0.5653 Epoch 75/150 153/153 [==============================] - 0s 782us/step - loss: 0.5646 Epoch 76/150 153/153 [==============================] - 0s 789us/step - loss: 0.5665 Epoch 77/150 153/153 [==============================] - 0s 789us/step - loss: 0.5644 Epoch 78/150 153/153 [==============================] - 0s 776us/step - loss: 0.5627 Epoch 79/150 153/153 [==============================] - 0s 789us/step - loss: 0.5639 Epoch 80/150 153/153 [==============================] - 0s 782us/step - loss: 0.5625 Epoch 81/150 153/153 [==============================] - 0s 756us/step - loss: 0.5631 Epoch 82/150 153/153 [==============================] - 0s 756us/step - loss: 0.5601 Epoch 83/150 153/153 [==============================] - 0s 769us/step - loss: 0.5636 Epoch 84/150 153/153 [==============================] - 0s 756us/step - loss: 0.5613 Epoch 85/150 153/153 [==============================] - 0s 795us/step - loss: 0.5625 Epoch 86/150 153/153 [==============================] - 0s 808us/step - loss: 0.5606 Epoch 87/150 153/153 [==============================] - 0s 737us/step - loss: 0.5604 Epoch 88/150 153/153 [==============================] - 0s 750us/step - loss: 0.5601 Epoch 89/150 153/153 [==============================] - 0s 795us/step - loss: 0.5611 Epoch 90/150 153/153 [==============================] - 0s 769us/step - loss: 0.5588 Epoch 91/150 153/153 [==============================] - 0s 782us/step - loss: 0.5592 Epoch 92/150 153/153 [==============================] - 0s 808us/step - loss: 0.5607 Epoch 93/150 153/153 [==============================] - 0s 763us/step - loss: 0.5606 Epoch 94/150 153/153 [==============================] - 0s 782us/step - loss: 0.5594 Epoch 95/150 153/153 [==============================] - 0s 782us/step - loss: 0.5573 Epoch 96/150 153/153 [==============================] - 0s 776us/step - loss: 0.5609 Epoch 97/150 153/153 [==============================] - 0s 789us/step - loss: 0.5585 Epoch 98/150 153/153 [==============================] - 0s 815us/step - loss: 0.5549 Epoch 99/150 153/153 [==============================] - 0s 763us/step - loss: 0.5572 Epoch 100/150 153/153 [==============================] - 0s 776us/step - loss: 0.5585 Epoch 101/150 153/153 [==============================] - 0s 743us/step - loss: 0.5570 Epoch 102/150 153/153 [==============================] - 0s 789us/step - loss: 0.5577 Epoch 103/150 153/153 [==============================] - 0s 802us/step - loss: 0.5586 Epoch 104/150 153/153 [==============================] - 0s 776us/step - loss: 0.5573 Epoch 105/150 153/153 [==============================] - 0s 743us/step - loss: 0.5579 Epoch 106/150 153/153 [==============================] - 0s 815us/step - loss: 0.5567 Epoch 107/150 153/153 [==============================] - 0s 860us/step - loss: 0.5568 Epoch 108/150 153/153 [==============================] - 0s 808us/step - loss: 0.5540 Epoch 109/150 153/153 [==============================] - 0s 789us/step - loss: 0.5551 Epoch 110/150 153/153 [==============================] - 0s 763us/step - loss: 0.5518 Epoch 111/150 153/153 [==============================] - 0s 763us/step - loss: 0.5567 Epoch 112/150 153/153 [==============================] - 0s 743us/step - loss: 0.5544 Epoch 113/150 153/153 [==============================] - 0s 756us/step - loss: 0.5522 Epoch 114/150 153/153 [==============================] - 0s 769us/step - loss: 0.5562 Epoch 115/150 153/153 [==============================] - 0s 782us/step - loss: 0.5546 Epoch 116/150 153/153 [==============================] - 0s 776us/step - loss: 0.5529 Epoch 117/150 153/153 [==============================] - 0s 750us/step - loss: 0.5522 Epoch 118/150 153/153 [==============================] - 0s 750us/step - loss: 0.5553 Epoch 119/150 153/153 [==============================] - 0s 750us/step - loss: 0.5513 Epoch 120/150 153/153 [==============================] - 0s 763us/step - loss: 0.5506 Epoch 121/150 153/153 [==============================] - 0s 750us/step - loss: 0.5528 Epoch 122/150 153/153 [==============================] - 0s 743us/step - loss: 0.5511 Epoch 123/150 153/153 [==============================] - 0s 763us/step - loss: 0.5509 Epoch 124/150 153/153 [==============================] - 0s 763us/step - loss: 0.5504 Epoch 125/150 153/153 [==============================] - 0s 743us/step - loss: 0.5503 Epoch 126/150 153/153 [==============================] - 0s 763us/step - loss: 0.5507 Epoch 127/150 153/153 [==============================] - 0s 763us/step - loss: 0.5506 Epoch 128/150 153/153 [==============================] - 0s 789us/step - loss: 0.5512 Epoch 129/150 153/153 [==============================] - 0s 769us/step - loss: 0.5480 Epoch 130/150 153/153 [==============================] - 0s 802us/step - loss: 0.5506 Epoch 131/150 153/153 [==============================] - 0s 795us/step - loss: 0.5502 Epoch 132/150 153/153 [==============================] - 0s 769us/step - loss: 0.5485 Epoch 133/150 153/153 [==============================] - 0s 750us/step - loss: 0.5495 Epoch 134/150 153/153 [==============================] - 0s 763us/step - loss: 0.5489 Epoch 135/150 153/153 [==============================] - 0s 769us/step - loss: 0.5488 Epoch 136/150 153/153 [==============================] - 0s 808us/step - loss: 0.5486 Epoch 137/150 153/153 [==============================] - 0s 737us/step - loss: 0.5474 Epoch 138/150 153/153 [==============================] - 0s 847us/step - loss: 0.5500 Epoch 139/150 153/153 [==============================] - 0s 769us/step - loss: 0.5491 Epoch 140/150 153/153 [==============================] - 0s 756us/step - loss: 0.5480 Epoch 141/150 153/153 [==============================] - 0s 750us/step - loss: 0.5484 Epoch 142/150 153/153 [==============================] - 0s 782us/step - loss: 0.5475 Epoch 143/150 153/153 [==============================] - 0s 769us/step - loss: 0.5494 Epoch 144/150 153/153 [==============================] - 0s 789us/step - loss: 0.5475 Epoch 145/150 153/153 [==============================] - 0s 802us/step - loss: 0.5472 Epoch 146/150 153/153 [==============================] - 0s 802us/step - loss: 0.5450 Epoch 147/150 153/153 [==============================] - 0s 808us/step - loss: 0.5464 Epoch 148/150 153/153 [==============================] - 0s 795us/step - loss: 0.5460 Epoch 149/150 153/153 [==============================] - 0s 769us/step - loss: 0.5473 Epoch 150/150 153/153 [==============================] - 0s 769us/step - loss: 0.5478 ###################################################################### Accuracy: 75.82001118055129 Epoch 1/150 153/153 [==============================] - 0s 795us/step - loss: 0.9795 Epoch 2/150 153/153 [==============================] - 0s 743us/step - loss: 0.8548 Epoch 3/150 153/153 [==============================] - 0s 782us/step - loss: 0.7109 Epoch 4/150 153/153 [==============================] - 0s 789us/step - loss: 0.6581 Epoch 5/150 153/153 [==============================] - 0s 776us/step - loss: 0.6466 Epoch 6/150 153/153 [==============================] - 0s 776us/step - loss: 0.6377 Epoch 7/150 153/153 [==============================] - 0s 795us/step - loss: 0.6309 Epoch 8/150 153/153 [==============================] - 0s 789us/step - loss: 0.6247 Epoch 9/150 153/153 [==============================] - 0s 802us/step - loss: 0.6180 Epoch 10/150 153/153 [==============================] - 0s 769us/step - loss: 0.6124 Epoch 11/150 153/153 [==============================] - 0s 763us/step - loss: 0.6083 Epoch 12/150 153/153 [==============================] - 0s 769us/step - loss: 0.6040 Epoch 13/150 153/153 [==============================] - 0s 802us/step - loss: 0.5988 Epoch 14/150 153/153 [==============================] - 0s 769us/step - loss: 0.5946 Epoch 15/150 153/153 [==============================] - 0s 776us/step - loss: 0.5908 Epoch 16/150 153/153 [==============================] - 0s 802us/step - loss: 0.5886 Epoch 17/150 153/153 [==============================] - 0s 789us/step - loss: 0.5831 Epoch 18/150 153/153 [==============================] - 0s 789us/step - loss: 0.5841 Epoch 19/150 153/153 [==============================] - 0s 782us/step - loss: 0.5824 Epoch 20/150 153/153 [==============================] - 0s 769us/step - loss: 0.5827 Epoch 21/150 153/153 [==============================] - 0s 802us/step - loss: 0.5779 Epoch 22/150 153/153 [==============================] - 0s 769us/step - loss: 0.5788 Epoch 23/150 153/153 [==============================] - 0s 795us/step - loss: 0.5773 Epoch 24/150 153/153 [==============================] - 0s 776us/step - loss: 0.5755 Epoch 25/150 153/153 [==============================] - 0s 763us/step - loss: 0.5758 Epoch 26/150 153/153 [==============================] - 0s 763us/step - loss: 0.5717 Epoch 27/150 153/153 [==============================] - 0s 776us/step - loss: 0.5721 Epoch 28/150 153/153 [==============================] - 0s 756us/step - loss: 0.5702 Epoch 29/150 153/153 [==============================] - 0s 795us/step - loss: 0.5681 Epoch 30/150 153/153 [==============================] - 0s 789us/step - loss: 0.5669 Epoch 31/150 153/153 [==============================] - 0s 782us/step - loss: 0.5656 Epoch 32/150 153/153 [==============================] - 0s 991us/step - loss: 0.5644 Epoch 33/150 153/153 [==============================] - 0s 860us/step - loss: 0.5654 Epoch 34/150 153/153 [==============================] - 0s 802us/step - loss: 0.5634 Epoch 35/150 153/153 [==============================] - 0s 776us/step - loss: 0.5636 Epoch 36/150 153/153 [==============================] - 0s 776us/step - loss: 0.5619 Epoch 37/150 153/153 [==============================] - 0s 756us/step - loss: 0.5575 Epoch 38/150 153/153 [==============================] - 0s 906us/step - loss: 0.5627 Epoch 39/150 153/153 [==============================] - 0s 867us/step - loss: 0.5620 Epoch 40/150 153/153 [==============================] - 0s 821us/step - loss: 0.5599 Epoch 41/150 153/153 [==============================] - 0s 756us/step - loss: 0.5590 Epoch 42/150 153/153 [==============================] - 0s 769us/step - loss: 0.5604 Epoch 43/150 153/153 [==============================] - 0s 743us/step - loss: 0.5594 Epoch 44/150 153/153 [==============================] - 0s 769us/step - loss: 0.5597 Epoch 45/150 153/153 [==============================] - 0s 782us/step - loss: 0.5587 Epoch 46/150 153/153 [==============================] - 0s 789us/step - loss: 0.5578 Epoch 47/150 153/153 [==============================] - 0s 802us/step - loss: 0.5577 Epoch 48/150 153/153 [==============================] - 0s 776us/step - loss: 0.5532 Epoch 49/150 153/153 [==============================] - 0s 750us/step - loss: 0.5589 Epoch 50/150 153/153 [==============================] - 0s 782us/step - loss: 0.5564 Epoch 51/150 153/153 [==============================] - 0s 756us/step - loss: 0.5564 Epoch 52/150 153/153 [==============================] - 0s 795us/step - loss: 0.5555 Epoch 53/150 153/153 [==============================] - 0s 795us/step - loss: 0.5546 Epoch 54/150 153/153 [==============================] - 0s 756us/step - loss: 0.5558 Epoch 55/150 153/153 [==============================] - 0s 782us/step - loss: 0.5545 Epoch 56/150 153/153 [==============================] - 0s 756us/step - loss: 0.5545 Epoch 57/150 153/153 [==============================] - ETA: 0s - loss: 0.551 - 0s 776us/step - loss: 0.5534 Epoch 58/150 153/153 [==============================] - 0s 789us/step - loss: 0.5542 Epoch 59/150 153/153 [==============================] - 0s 756us/step - loss: 0.5527 Epoch 60/150 153/153 [==============================] - 0s 782us/step - loss: 0.5538 Epoch 61/150 153/153 [==============================] - 0s 782us/step - loss: 0.5516 Epoch 62/150 153/153 [==============================] - 0s 808us/step - loss: 0.5515 Epoch 63/150 153/153 [==============================] - 0s 789us/step - loss: 0.5495 Epoch 64/150 153/153 [==============================] - 0s 769us/step - loss: 0.5512 Epoch 65/150 153/153 [==============================] - 0s 782us/step - loss: 0.5515 Epoch 66/150 153/153 [==============================] - 0s 782us/step - loss: 0.5513 Epoch 67/150 153/153 [==============================] - 0s 756us/step - loss: 0.5509 Epoch 68/150 153/153 [==============================] - 0s 789us/step - loss: 0.5519 Epoch 69/150 153/153 [==============================] - 0s 808us/step - loss: 0.5511 Epoch 70/150 153/153 [==============================] - 0s 743us/step - loss: 0.5487 Epoch 71/150 153/153 [==============================] - 0s 802us/step - loss: 0.5496 Epoch 72/150 153/153 [==============================] - 0s 795us/step - loss: 0.5484 Epoch 73/150 153/153 [==============================] - 0s 815us/step - loss: 0.5493 Epoch 74/150 153/153 [==============================] - 0s 802us/step - loss: 0.5492 Epoch 75/150 153/153 [==============================] - 0s 769us/step - loss: 0.5477 Epoch 76/150 153/153 [==============================] - 0s 763us/step - loss: 0.5489 Epoch 77/150 153/153 [==============================] - 0s 782us/step - loss: 0.5480 Epoch 78/150 153/153 [==============================] - 0s 795us/step - loss: 0.5457 Epoch 79/150 153/153 [==============================] - 0s 776us/step - loss: 0.5479 Epoch 80/150 153/153 [==============================] - 0s 763us/step - loss: 0.5482 Epoch 81/150 153/153 [==============================] - 0s 789us/step - loss: 0.5455 Epoch 82/150 153/153 [==============================] - 0s 776us/step - loss: 0.5468 Epoch 83/150 153/153 [==============================] - 0s 776us/step - loss: 0.5452 Epoch 84/150 153/153 [==============================] - 0s 789us/step - loss: 0.5463 Epoch 85/150 153/153 [==============================] - 0s 782us/step - loss: 0.5438 Epoch 86/150 153/153 [==============================] - 0s 802us/step - loss: 0.5468 0s - loss: 0.547 Epoch 87/150 153/153 [==============================] - 0s 795us/step - loss: 0.5455 Epoch 88/150 153/153 [==============================] - 0s 769us/step - loss: 0.5458 Epoch 89/150 153/153 [==============================] - 0s 795us/step - loss: 0.5452 Epoch 90/150 153/153 [==============================] - 0s 769us/step - loss: 0.5455 Epoch 91/150 153/153 [==============================] - 0s 795us/step - loss: 0.5464 Epoch 92/150 153/153 [==============================] - 0s 815us/step - loss: 0.5429 Epoch 93/150 153/153 [==============================] - 0s 789us/step - loss: 0.5436 Epoch 94/150 153/153 [==============================] - 0s 769us/step - loss: 0.5453 Epoch 95/150 153/153 [==============================] - 0s 756us/step - loss: 0.5451 Epoch 96/150 153/153 [==============================] - 0s 789us/step - loss: 0.5422 Epoch 97/150 153/153 [==============================] - 0s 776us/step - loss: 0.5456 Epoch 98/150 153/153 [==============================] - 0s 776us/step - loss: 0.5449 Epoch 99/150 153/153 [==============================] - 0s 795us/step - loss: 0.5442 Epoch 100/150 153/153 [==============================] - 0s 756us/step - loss: 0.5414 Epoch 101/150 153/153 [==============================] - 0s 776us/step - loss: 0.5434 Epoch 102/150 153/153 [==============================] - 0s 808us/step - loss: 0.5439 Epoch 103/150 153/153 [==============================] - 0s 795us/step - loss: 0.5423 Epoch 104/150 153/153 [==============================] - 0s 789us/step - loss: 0.5420 Epoch 105/150 153/153 [==============================] - 0s 763us/step - loss: 0.5421 Epoch 106/150 153/153 [==============================] - 0s 769us/step - loss: 0.5405 Epoch 107/150 153/153 [==============================] - 0s 776us/step - loss: 0.5403 Epoch 108/150 153/153 [==============================] - 0s 782us/step - loss: 0.5420 Epoch 109/150 153/153 [==============================] - 0s 782us/step - loss: 0.5382 Epoch 110/150 153/153 [==============================] - 0s 776us/step - loss: 0.5424 Epoch 111/150 153/153 [==============================] - 0s 808us/step - loss: 0.5403 Epoch 112/150 153/153 [==============================] - 0s 789us/step - loss: 0.5414 Epoch 113/150 153/153 [==============================] - 0s 802us/step - loss: 0.5413 Epoch 114/150 153/153 [==============================] - 0s 776us/step - loss: 0.5406 Epoch 115/150 153/153 [==============================] - 0s 789us/step - loss: 0.5402 Epoch 116/150 153/153 [==============================] - 0s 808us/step - loss: 0.5386 Epoch 117/150 153/153 [==============================] - 0s 789us/step - loss: 0.5399 Epoch 118/150 153/153 [==============================] - 0s 769us/step - loss: 0.5406 Epoch 119/150 153/153 [==============================] - 0s 756us/step - loss: 0.5388 Epoch 120/150 153/153 [==============================] - 0s 789us/step - loss: 0.5383 Epoch 121/150 153/153 [==============================] - 0s 782us/step - loss: 0.5381 Epoch 122/150 153/153 [==============================] - 0s 789us/step - loss: 0.5393 Epoch 123/150 153/153 [==============================] - 0s 782us/step - loss: 0.5373 Epoch 124/150 153/153 [==============================] - 0s 782us/step - loss: 0.5386 Epoch 125/150 153/153 [==============================] - 0s 795us/step - loss: 0.5360 Epoch 126/150 153/153 [==============================] - 0s 769us/step - loss: 0.5387 Epoch 127/150 153/153 [==============================] - 0s 763us/step - loss: 0.5349 Epoch 128/150 153/153 [==============================] - 0s 789us/step - loss: 0.5374 Epoch 129/150 153/153 [==============================] - 0s 763us/step - loss: 0.5350 Epoch 130/150 153/153 [==============================] - 0s 763us/step - loss: 0.5335 Epoch 131/150 153/153 [==============================] - 0s 789us/step - loss: 0.5350 Epoch 132/150 153/153 [==============================] - 0s 776us/step - loss: 0.5348 Epoch 133/150 153/153 [==============================] - 0s 769us/step - loss: 0.5350 Epoch 134/150 153/153 [==============================] - 0s 782us/step - loss: 0.5338 Epoch 135/150 153/153 [==============================] - 0s 795us/step - loss: 0.5354 Epoch 136/150 153/153 [==============================] - 0s 763us/step - loss: 0.5315 Epoch 137/150 153/153 [==============================] - 0s 769us/step - loss: 0.5351 Epoch 138/150 153/153 [==============================] - 0s 769us/step - loss: 0.5333 Epoch 139/150 153/153 [==============================] - 0s 769us/step - loss: 0.5337 Epoch 140/150 153/153 [==============================] - 0s 776us/step - loss: 0.5325 Epoch 141/150 153/153 [==============================] - 0s 815us/step - loss: 0.5318 Epoch 142/150 153/153 [==============================] - 0s 756us/step - loss: 0.5324 Epoch 143/150 153/153 [==============================] - 0s 782us/step - loss: 0.5314 Epoch 144/150 153/153 [==============================] - 0s 802us/step - loss: 0.5326 Epoch 145/150 153/153 [==============================] - 0s 776us/step - loss: 0.5260 Epoch 146/150 153/153 [==============================] - 0s 763us/step - loss: 0.5324 Epoch 147/150 153/153 [==============================] - 0s 750us/step - loss: 0.5302 Epoch 148/150 153/153 [==============================] - 0s 756us/step - loss: 0.5327 Epoch 149/150 153/153 [==============================] - 0s 756us/step - loss: 0.5303 Epoch 150/150 153/153 [==============================] - 0s 750us/step - loss: 0.5281 ###################################################################### Accuracy: 68.48870528857323 Epoch 1/10 76/76 [==============================] - 0s 787us/step - loss: 1.0091 Epoch 2/10 76/76 [==============================] - 0s 853us/step - loss: 0.9485 Epoch 3/10 76/76 [==============================] - 0s 761us/step - loss: 0.8457 Epoch 4/10 76/76 [==============================] - 0s 800us/step - loss: 0.7346 Epoch 5/10 76/76 [==============================] - 0s 814us/step - loss: 0.6734 Epoch 6/10 76/76 [==============================] - 0s 748us/step - loss: 0.6544 Epoch 7/10 76/76 [==============================] - 0s 787us/step - loss: 0.6474 Epoch 8/10 76/76 [==============================] - 0s 761us/step - loss: 0.6430 Epoch 9/10 76/76 [==============================] - 0s 735us/step - loss: 0.6394 Epoch 10/10 76/76 [==============================] - 0s 748us/step - loss: 0.6377 ###################################################################### Accuracy: 71.8875791254879 Epoch 1/10 77/77 [==============================] - 0s 816us/step - loss: 0.9799 Epoch 2/10 77/77 [==============================] - 0s 790us/step - loss: 0.9262 Epoch 3/10 77/77 [==============================] - 0s 829us/step - loss: 0.8107 Epoch 4/10 77/77 [==============================] - 0s 842us/step - loss: 0.7080 Epoch 5/10 77/77 [==============================] - 0s 829us/step - loss: 0.6607 Epoch 6/10 77/77 [==============================] - 0s 829us/step - loss: 0.6440 Epoch 7/10 77/77 [==============================] - 0s 816us/step - loss: 0.6373 Epoch 8/10 77/77 [==============================] - 0s 790us/step - loss: 0.6324 Epoch 9/10 77/77 [==============================] - 0s 816us/step - loss: 0.6287 Epoch 10/10 77/77 [==============================] - 0s 790us/step - loss: 0.6233 ###################################################################### Accuracy: 73.23314897327005 Epoch 1/10 77/77 [==============================] - 0s 868us/step - loss: 0.9726 Epoch 2/10 77/77 [==============================] - 0s 803us/step - loss: 0.9168 Epoch 3/10 77/77 [==============================] - 0s 803us/step - loss: 0.8021 Epoch 4/10 77/77 [==============================] - 0s 790us/step - loss: 0.7270 Epoch 5/10 77/77 [==============================] - 0s 764us/step - loss: 0.6797 Epoch 6/10 77/77 [==============================] - 0s 816us/step - loss: 0.6533 Epoch 7/10 77/77 [==============================] - 0s 816us/step - loss: 0.6385 Epoch 8/10 77/77 [==============================] - 0s 803us/step - loss: 0.6299 Epoch 9/10 77/77 [==============================] - 0s 790us/step - loss: 0.6246 Epoch 10/10 77/77 [==============================] - 0s 777us/step - loss: 0.6206 ###################################################################### Accuracy: 90.9496316971702 Epoch 1/10 77/77 [==============================] - 0s 855us/step - loss: 1.0052 Epoch 2/10 77/77 [==============================] - 0s 803us/step - loss: 0.9473 Epoch 3/10 77/77 [==============================] - 0s 816us/step - loss: 0.8467 Epoch 4/10 77/77 [==============================] - 0s 777us/step - loss: 0.7493 Epoch 5/10 77/77 [==============================] - 0s 764us/step - loss: 0.6902 Epoch 6/10 77/77 [==============================] - 0s 803us/step - loss: 0.6639 Epoch 7/10 77/77 [==============================] - 0s 816us/step - loss: 0.6517 Epoch 8/10 77/77 [==============================] - 0s 803us/step - loss: 0.6472 Epoch 9/10 77/77 [==============================] - 0s 738us/step - loss: 0.6428 Epoch 10/10 77/77 [==============================] - 0s 816us/step - loss: 0.6391 ###################################################################### Accuracy: 72.16436929665163 Epoch 1/10 77/77 [==============================] - 0s 816us/step - loss: 1.0001 Epoch 2/10 77/77 [==============================] - 0s 777us/step - loss: 0.9711 Epoch 3/10 77/77 [==============================] - 0s 803us/step - loss: 0.8898 Epoch 4/10 77/77 [==============================] - 0s 829us/step - loss: 0.7730 Epoch 5/10 77/77 [==============================] - 0s 751us/step - loss: 0.6860 Epoch 6/10 77/77 [==============================] - 0s 816us/step - loss: 0.6558 Epoch 7/10 77/77 [==============================] - 0s 842us/step - loss: 0.6460 Epoch 8/10 77/77 [==============================] - 0s 803us/step - loss: 0.6419 Epoch 9/10 77/77 [==============================] - 0s 790us/step - loss: 0.6380 Epoch 10/10 77/77 [==============================] - 0s 816us/step - loss: 0.6359 ###################################################################### Accuracy: 74.88686791967741 Epoch 1/20 76/76 [==============================] - 0s 830us/step - loss: 1.0089 Epoch 2/20 76/76 [==============================] - 0s 786us/step - loss: 0.9491 Epoch 3/20 76/76 [==============================] - 0s 774us/step - loss: 0.8315 Epoch 4/20 76/76 [==============================] - 0s 761us/step - loss: 0.7156 Epoch 5/20 76/76 [==============================] - 0s 735us/step - loss: 0.6591 Epoch 6/20 76/76 [==============================] - 0s 748us/step - loss: 0.6418 Epoch 7/20 76/76 [==============================] - 0s 709us/step - loss: 0.6352 Epoch 8/20 76/76 [==============================] - 0s 696us/step - loss: 0.6304 Epoch 9/20 76/76 [==============================] - 0s 735us/step - loss: 0.6260 Epoch 10/20 76/76 [==============================] - 0s 722us/step - loss: 0.6222 Epoch 11/20 76/76 [==============================] - 0s 709us/step - loss: 0.6178 Epoch 12/20 76/76 [==============================] - 0s 735us/step - loss: 0.6147 Epoch 13/20 76/76 [==============================] - 0s 696us/step - loss: 0.6110 Epoch 14/20 76/76 [==============================] - 0s 748us/step - loss: 0.6067 Epoch 15/20 76/76 [==============================] - 0s 774us/step - loss: 0.6029 Epoch 16/20 76/76 [==============================] - ETA: 0s - loss: 0.601 - 0s 735us/step - loss: 0.5996 Epoch 17/20 76/76 [==============================] - 0s 774us/step - loss: 0.5963 Epoch 18/20 76/76 [==============================] - 0s 801us/step - loss: 0.5946 Epoch 19/20 76/76 [==============================] - 0s 774us/step - loss: 0.5923 Epoch 20/20 76/76 [==============================] - 0s 735us/step - loss: 0.5883 ###################################################################### Accuracy: 70.16266976096607 Epoch 1/20 77/77 [==============================] - 0s 811us/step - loss: 0.9792 Epoch 2/20 77/77 [==============================] - 0s 790us/step - loss: 0.9249 Epoch 3/20 77/77 [==============================] - 0s 764us/step - loss: 0.8270 Epoch 4/20 77/77 [==============================] - 0s 738us/step - loss: 0.7417 Epoch 5/20 77/77 [==============================] - 0s 751us/step - loss: 0.6850 Epoch 6/20 77/77 [==============================] - 0s 764us/step - loss: 0.6547 Epoch 7/20 77/77 [==============================] - 0s 777us/step - loss: 0.6404 Epoch 8/20 77/77 [==============================] - 0s 725us/step - loss: 0.6337 Epoch 9/20 77/77 [==============================] - 0s 751us/step - loss: 0.6284 Epoch 10/20 77/77 [==============================] - 0s 777us/step - loss: 0.6236 Epoch 11/20 77/77 [==============================] - 0s 803us/step - loss: 0.6189 Epoch 12/20 77/77 [==============================] - 0s 751us/step - loss: 0.6152 Epoch 13/20 77/77 [==============================] - 0s 790us/step - loss: 0.6112 Epoch 14/20 77/77 [==============================] - 0s 790us/step - loss: 0.6075 Epoch 15/20 77/77 [==============================] - 0s 764us/step - loss: 0.6041 Epoch 16/20 77/77 [==============================] - 0s 738us/step - loss: 0.6024 Epoch 17/20 77/77 [==============================] - 0s 816us/step - loss: 0.5990 Epoch 18/20 77/77 [==============================] - 0s 751us/step - loss: 0.5957 Epoch 19/20 77/77 [==============================] - 0s 803us/step - loss: 0.5934 Epoch 20/20 77/77 [==============================] - 0s 803us/step - loss: 0.5909 ###################################################################### Accuracy: 73.6736527285876 Epoch 1/20 77/77 [==============================] - 0s 803us/step - loss: 0.9713 Epoch 2/20 77/77 [==============================] - 0s 764us/step - loss: 0.9247 Epoch 3/20 77/77 [==============================] - 0s 751us/step - loss: 0.8180 Epoch 4/20 77/77 [==============================] - 0s 764us/step - loss: 0.7138 Epoch 5/20 77/77 [==============================] - 0s 764us/step - loss: 0.6584 Epoch 6/20 77/77 [==============================] - 0s 751us/step - loss: 0.6344 Epoch 7/20 77/77 [==============================] - 0s 803us/step - loss: 0.6263 Epoch 8/20 77/77 [==============================] - 0s 816us/step - loss: 0.6203 Epoch 9/20 77/77 [==============================] - 0s 764us/step - loss: 0.6148 Epoch 10/20 77/77 [==============================] - 0s 790us/step - loss: 0.6125 Epoch 11/20 77/77 [==============================] - 0s 803us/step - loss: 0.6102 Epoch 12/20 77/77 [==============================] - 0s 764us/step - loss: 0.6057 Epoch 13/20 77/77 [==============================] - 0s 803us/step - loss: 0.6037 Epoch 14/20 77/77 [==============================] - 0s 764us/step - loss: 0.6005 Epoch 15/20 77/77 [==============================] - 0s 777us/step - loss: 0.5987 Epoch 16/20 77/77 [==============================] - 0s 803us/step - loss: 0.5974 Epoch 17/20 77/77 [==============================] - 0s 790us/step - loss: 0.5940 Epoch 18/20 77/77 [==============================] - 0s 751us/step - loss: 0.5927 Epoch 19/20 77/77 [==============================] - 0s 764us/step - loss: 0.5898 Epoch 20/20 77/77 [==============================] - 0s 790us/step - loss: 0.5888 ###################################################################### Accuracy: 90.91845133191605 Epoch 1/20 77/77 [==============================] - 0s 880us/step - loss: 1.0064 Epoch 2/20 77/77 [==============================] - 0s 777us/step - loss: 0.9367 Epoch 3/20 77/77 [==============================] - 0s 816us/step - loss: 0.8114 Epoch 4/20 77/77 [==============================] - 0s 790us/step - loss: 0.7024 Epoch 5/20 77/77 [==============================] - 0s 816us/step - loss: 0.6658 Epoch 6/20 77/77 [==============================] - 0s 803us/step - loss: 0.6560 Epoch 7/20 77/77 [==============================] - 0s 803us/step - loss: 0.6532 Epoch 8/20 77/77 [==============================] - 0s 816us/step - loss: 0.6490 Epoch 9/20 77/77 [==============================] - 0s 790us/step - loss: 0.6481 Epoch 10/20 77/77 [==============================] - 0s 803us/step - loss: 0.6449 Epoch 11/20 77/77 [==============================] - 0s 790us/step - loss: 0.6424 Epoch 12/20 77/77 [==============================] - 0s 777us/step - loss: 0.6422 Epoch 13/20 77/77 [==============================] - 0s 829us/step - loss: 0.6405 Epoch 14/20 77/77 [==============================] - 0s 790us/step - loss: 0.6398 Epoch 15/20 77/77 [==============================] - 0s 816us/step - loss: 0.6382 Epoch 16/20 77/77 [==============================] - 0s 751us/step - loss: 0.6354 Epoch 17/20 77/77 [==============================] - 0s 738us/step - loss: 0.6356 Epoch 18/20 77/77 [==============================] - 0s 790us/step - loss: 0.6334 Epoch 19/20 77/77 [==============================] - 0s 829us/step - loss: 0.6314 Epoch 20/20 77/77 [==============================] - 0s 829us/step - loss: 0.6297 ###################################################################### Accuracy: 73.49964859417871 Epoch 1/20 77/77 [==============================] - 0s 829us/step - loss: 0.9885 Epoch 2/20 77/77 [==============================] - 0s 816us/step - loss: 0.9281 Epoch 3/20 77/77 [==============================] - 0s 751us/step - loss: 0.8152 Epoch 4/20 77/77 [==============================] - 0s 777us/step - loss: 0.7071 Epoch 5/20 77/77 [==============================] - 0s 816us/step - loss: 0.6607 Epoch 6/20 77/77 [==============================] - 0s 803us/step - loss: 0.6464 Epoch 7/20 77/77 [==============================] - 0s 764us/step - loss: 0.6386 Epoch 8/20 77/77 [==============================] - 0s 790us/step - loss: 0.6330 Epoch 9/20 77/77 [==============================] - 0s 816us/step - loss: 0.6283 Epoch 10/20 77/77 [==============================] - 0s 803us/step - loss: 0.6237 Epoch 11/20 77/77 [==============================] - 0s 777us/step - loss: 0.6183 Epoch 12/20 77/77 [==============================] - 0s 790us/step - loss: 0.6160 Epoch 13/20 77/77 [==============================] - 0s 842us/step - loss: 0.6107 Epoch 14/20 77/77 [==============================] - 0s 803us/step - loss: 0.6066 Epoch 15/20 77/77 [==============================] - 0s 751us/step - loss: 0.6053 Epoch 16/20 77/77 [==============================] - 0s 751us/step - loss: 0.6035 Epoch 17/20 77/77 [==============================] - 0s 790us/step - loss: 0.5999 Epoch 18/20 77/77 [==============================] - 0s 777us/step - loss: 0.5988 Epoch 19/20 77/77 [==============================] - 0s 829us/step - loss: 0.5962 Epoch 20/20 77/77 [==============================] - 0s 803us/step - loss: 0.5927 ###################################################################### Accuracy: 70.83133877719229 Epoch 1/50 76/76 [==============================] - 0s 761us/step - loss: 1.0151 Epoch 2/50 76/76 [==============================] - 0s 735us/step - loss: 0.9673 Epoch 3/50 76/76 [==============================] - 0s 748us/step - loss: 0.8640 Epoch 4/50 76/76 [==============================] - 0s 774us/step - loss: 0.7602 Epoch 5/50 76/76 [==============================] - 0s 774us/step - loss: 0.7082 Epoch 6/50 76/76 [==============================] - 0s 761us/step - loss: 0.6808 Epoch 7/50 76/76 [==============================] - 0s 787us/step - loss: 0.6649 Epoch 8/50 76/76 [==============================] - 0s 761us/step - loss: 0.6550 Epoch 9/50 76/76 [==============================] - ETA: 0s - loss: 0.624 - 0s 800us/step - loss: 0.6483 Epoch 10/50 76/76 [==============================] - 0s 827us/step - loss: 0.6445 Epoch 11/50 76/76 [==============================] - 0s 814us/step - loss: 0.6406 Epoch 12/50 76/76 [==============================] - 0s 800us/step - loss: 0.6383 Epoch 13/50 76/76 [==============================] - 0s 761us/step - loss: 0.6364 Epoch 14/50 76/76 [==============================] - 0s 761us/step - loss: 0.6335 Epoch 15/50 76/76 [==============================] - 0s 787us/step - loss: 0.6329 Epoch 16/50 76/76 [==============================] - 0s 787us/step - loss: 0.6306 Epoch 17/50 76/76 [==============================] - 0s 748us/step - loss: 0.6281 Epoch 18/50 76/76 [==============================] - 0s 787us/step - loss: 0.6260 Epoch 19/50 76/76 [==============================] - 0s 800us/step - loss: 0.6248 Epoch 20/50 76/76 [==============================] - 0s 814us/step - loss: 0.6235 Epoch 21/50 76/76 [==============================] - 0s 814us/step - loss: 0.6217 Epoch 22/50 76/76 [==============================] - 0s 827us/step - loss: 0.6205 Epoch 23/50 76/76 [==============================] - 0s 814us/step - loss: 0.6188 Epoch 24/50 76/76 [==============================] - 0s 708us/step - loss: 0.6175 Epoch 25/50 76/76 [==============================] - 0s 774us/step - loss: 0.6162 Epoch 26/50 76/76 [==============================] - 0s 761us/step - loss: 0.6154 Epoch 27/50 76/76 [==============================] - 0s 761us/step - loss: 0.6154 Epoch 28/50 76/76 [==============================] - 0s 735us/step - loss: 0.6142 Epoch 29/50 76/76 [==============================] - 0s 735us/step - loss: 0.6117 Epoch 30/50 76/76 [==============================] - 0s 787us/step - loss: 0.6120 Epoch 31/50 76/76 [==============================] - 0s 735us/step - loss: 0.6114 Epoch 32/50 76/76 [==============================] - 0s 735us/step - loss: 0.6101 Epoch 33/50 76/76 [==============================] - 0s 787us/step - loss: 0.6091 Epoch 34/50 76/76 [==============================] - 0s 761us/step - loss: 0.6089 Epoch 35/50 76/76 [==============================] - 0s 814us/step - loss: 0.6072 Epoch 36/50 76/76 [==============================] - 0s 814us/step - loss: 0.6061 Epoch 37/50 76/76 [==============================] - 0s 774us/step - loss: 0.6067 Epoch 38/50 76/76 [==============================] - 0s 787us/step - loss: 0.6055 Epoch 39/50 76/76 [==============================] - 0s 761us/step - loss: 0.6043 Epoch 40/50 76/76 [==============================] - 0s 787us/step - loss: 0.6041 Epoch 41/50 76/76 [==============================] - 0s 761us/step - loss: 0.6035 Epoch 42/50 76/76 [==============================] - 0s 748us/step - loss: 0.6023 Epoch 43/50 76/76 [==============================] - 0s 748us/step - loss: 0.6024 Epoch 44/50 76/76 [==============================] - 0s 761us/step - loss: 0.6014 Epoch 45/50 76/76 [==============================] - 0s 761us/step - loss: 0.5999 Epoch 46/50 76/76 [==============================] - 0s 748us/step - loss: 0.5997 Epoch 47/50 76/76 [==============================] - 0s 761us/step - loss: 0.5979 Epoch 48/50 76/76 [==============================] - 0s 774us/step - loss: 0.5981 Epoch 49/50 76/76 [==============================] - 0s 761us/step - loss: 0.5944 Epoch 50/50 76/76 [==============================] - 0s 814us/step - loss: 0.5960 ###################################################################### Accuracy: 69.83642333010707 Epoch 1/50 77/77 [==============================] - 0s 859us/step - loss: 0.9766 Epoch 2/50 77/77 [==============================] - 0s 843us/step - loss: 0.9127 Epoch 3/50 77/77 [==============================] - 0s 816us/step - loss: 0.8035 Epoch 4/50 77/77 [==============================] - 0s 803us/step - loss: 0.7167 Epoch 5/50 77/77 [==============================] - 0s 790us/step - loss: 0.6708 Epoch 6/50 77/77 [==============================] - 0s 777us/step - loss: 0.6524 Epoch 7/50 77/77 [==============================] - 0s 777us/step - loss: 0.6433 Epoch 8/50 77/77 [==============================] - 0s 842us/step - loss: 0.6396 Epoch 9/50 77/77 [==============================] - 0s 816us/step - loss: 0.6348 Epoch 10/50 77/77 [==============================] - 0s 842us/step - loss: 0.6309 Epoch 11/50 77/77 [==============================] - 0s 803us/step - loss: 0.6267 Epoch 12/50 77/77 [==============================] - 0s 777us/step - loss: 0.6238 Epoch 13/50 77/77 [==============================] - 0s 816us/step - loss: 0.6187 Epoch 14/50 77/77 [==============================] - 0s 829us/step - loss: 0.6157 Epoch 15/50 77/77 [==============================] - 0s 803us/step - loss: 0.6126 Epoch 16/50 77/77 [==============================] - 0s 803us/step - loss: 0.6093 Epoch 17/50 77/77 [==============================] - 0s 803us/step - loss: 0.6075 Epoch 18/50 77/77 [==============================] - 0s 816us/step - loss: 0.6024 Epoch 19/50 77/77 [==============================] - 0s 777us/step - loss: 0.5994 Epoch 20/50 77/77 [==============================] - 0s 816us/step - loss: 0.5989 Epoch 21/50 77/77 [==============================] - 0s 764us/step - loss: 0.5954 Epoch 22/50 77/77 [==============================] - 0s 790us/step - loss: 0.5931 Epoch 23/50 77/77 [==============================] - 0s 816us/step - loss: 0.5918 Epoch 24/50 77/77 [==============================] - 0s 803us/step - loss: 0.5903 Epoch 25/50 77/77 [==============================] - 0s 842us/step - loss: 0.5880 Epoch 26/50 77/77 [==============================] - 0s 803us/step - loss: 0.5872 Epoch 27/50 77/77 [==============================] - 0s 803us/step - loss: 0.5842 Epoch 28/50 77/77 [==============================] - 0s 816us/step - loss: 0.5831 Epoch 29/50 77/77 [==============================] - 0s 829us/step - loss: 0.5800 Epoch 30/50 77/77 [==============================] - 0s 777us/step - loss: 0.5797 Epoch 31/50 77/77 [==============================] - 0s 790us/step - loss: 0.5783 Epoch 32/50 77/77 [==============================] - 0s 816us/step - loss: 0.5764 Epoch 33/50 77/77 [==============================] - 0s 816us/step - loss: 0.5761 Epoch 34/50 77/77 [==============================] - 0s 803us/step - loss: 0.5748 Epoch 35/50 77/77 [==============================] - 0s 790us/step - loss: 0.5741 Epoch 36/50 77/77 [==============================] - 0s 829us/step - loss: 0.5716 Epoch 37/50 77/77 [==============================] - 0s 816us/step - loss: 0.5726 Epoch 38/50 77/77 [==============================] - 0s 816us/step - loss: 0.5714 Epoch 39/50 77/77 [==============================] - 0s 764us/step - loss: 0.5708 Epoch 40/50 77/77 [==============================] - 0s 803us/step - loss: 0.5696 Epoch 41/50 77/77 [==============================] - 0s 777us/step - loss: 0.5684 Epoch 42/50 77/77 [==============================] - 0s 829us/step - loss: 0.5682 Epoch 43/50 77/77 [==============================] - 0s 777us/step - loss: 0.5667 Epoch 44/50 77/77 [==============================] - 0s 829us/step - loss: 0.5636 Epoch 45/50 77/77 [==============================] - 0s 816us/step - loss: 0.5656 Epoch 46/50 77/77 [==============================] - 0s 751us/step - loss: 0.5649 Epoch 47/50 77/77 [==============================] - 0s 751us/step - loss: 0.5632 Epoch 48/50 77/77 [==============================] - 0s 738us/step - loss: 0.5637 Epoch 49/50 77/77 [==============================] - 0s 790us/step - loss: 0.5624 Epoch 50/50 77/77 [==============================] - 0s 842us/step - loss: 0.5599 ###################################################################### Accuracy: 72.65396925458957 Epoch 1/50 77/77 [==============================] - 0s 842us/step - loss: 0.9745 Epoch 2/50 77/77 [==============================] - 0s 829us/step - loss: 0.9632 Epoch 3/50 77/77 [==============================] - 0s 790us/step - loss: 0.9374 Epoch 4/50 77/77 [==============================] - 0s 738us/step - loss: 0.8961 Epoch 5/50 77/77 [==============================] - 0s 764us/step - loss: 0.8444 Epoch 6/50 77/77 [==============================] - 0s 777us/step - loss: 0.7955 Epoch 7/50 77/77 [==============================] - 0s 751us/step - loss: 0.7576 Epoch 8/50 77/77 [==============================] - 0s 1ms/step - loss: 0.7273 Epoch 9/50 77/77 [==============================] - 0s 868us/step - loss: 0.7048 Epoch 10/50 77/77 [==============================] - 0s 842us/step - loss: 0.6885 Epoch 11/50 77/77 [==============================] - 0s 894us/step - loss: 0.6756 Epoch 12/50 77/77 [==============================] - 0s 803us/step - loss: 0.6647 Epoch 13/50 77/77 [==============================] - 0s 790us/step - loss: 0.6566 Epoch 14/50 77/77 [==============================] - 0s 790us/step - loss: 0.6496 Epoch 15/50 77/77 [==============================] - 0s 764us/step - loss: 0.6436 Epoch 16/50 77/77 [==============================] - 0s 790us/step - loss: 0.6389 Epoch 17/50 77/77 [==============================] - 0s 777us/step - loss: 0.6338 Epoch 18/50 77/77 [==============================] - 0s 829us/step - loss: 0.6298 Epoch 19/50 77/77 [==============================] - 0s 777us/step - loss: 0.6262 Epoch 20/50 77/77 [==============================] - 0s 777us/step - loss: 0.6229 Epoch 21/50 77/77 [==============================] - 0s 738us/step - loss: 0.6194 Epoch 22/50 77/77 [==============================] - 0s 790us/step - loss: 0.6168 Epoch 23/50 77/77 [==============================] - 0s 751us/step - loss: 0.6139 Epoch 24/50 77/77 [==============================] - 0s 764us/step - loss: 0.6121 Epoch 25/50 77/77 [==============================] - 0s 764us/step - loss: 0.6101 Epoch 26/50 77/77 [==============================] - 0s 777us/step - loss: 0.6083 Epoch 27/50 77/77 [==============================] - 0s 803us/step - loss: 0.6053 Epoch 28/50 77/77 [==============================] - 0s 777us/step - loss: 0.6047 Epoch 29/50 77/77 [==============================] - 0s 790us/step - loss: 0.6023 Epoch 30/50 77/77 [==============================] - 0s 777us/step - loss: 0.5999 Epoch 31/50 77/77 [==============================] - 0s 777us/step - loss: 0.5975 Epoch 32/50 77/77 [==============================] - 0s 764us/step - loss: 0.5971 Epoch 33/50 77/77 [==============================] - 0s 738us/step - loss: 0.5944 Epoch 34/50 77/77 [==============================] - 0s 777us/step - loss: 0.5934 Epoch 35/50 77/77 [==============================] - 0s 803us/step - loss: 0.5915 Epoch 36/50 77/77 [==============================] - 0s 777us/step - loss: 0.5901 Epoch 37/50 77/77 [==============================] - 0s 803us/step - loss: 0.5888 Epoch 38/50 77/77 [==============================] - 0s 764us/step - loss: 0.5868 Epoch 39/50 77/77 [==============================] - 0s 777us/step - loss: 0.5853 Epoch 40/50 77/77 [==============================] - 0s 790us/step - loss: 0.5850 Epoch 41/50 77/77 [==============================] - 0s 751us/step - loss: 0.5826 Epoch 42/50 77/77 [==============================] - 0s 764us/step - loss: 0.5817 Epoch 43/50 77/77 [==============================] - 0s 751us/step - loss: 0.5817 Epoch 44/50 77/77 [==============================] - 0s 751us/step - loss: 0.5798 Epoch 45/50 77/77 [==============================] - 0s 764us/step - loss: 0.5795 Epoch 46/50 77/77 [==============================] - 0s 790us/step - loss: 0.5794 Epoch 47/50 77/77 [==============================] - 0s 829us/step - loss: 0.5775 Epoch 48/50 77/77 [==============================] - 0s 764us/step - loss: 0.5770 Epoch 49/50 77/77 [==============================] - 0s 764us/step - loss: 0.5760 Epoch 50/50 77/77 [==============================] - 0s 803us/step - loss: 0.5747 ###################################################################### Accuracy: 88.09320555157855 Epoch 1/50 77/77 [==============================] - 0s 816us/step - loss: 1.0110 Epoch 2/50 77/77 [==============================] - 0s 816us/step - loss: 0.9531 Epoch 3/50 77/77 [==============================] - 0s 868us/step - loss: 0.8369 Epoch 4/50 77/77 [==============================] - 0s 907us/step - loss: 0.7282 Epoch 5/50 77/77 [==============================] - 0s 816us/step - loss: 0.6722 Epoch 6/50 77/77 [==============================] - 0s 803us/step - loss: 0.6545 Epoch 7/50 77/77 [==============================] - 0s 829us/step - loss: 0.6488 Epoch 8/50 77/77 [==============================] - 0s 803us/step - loss: 0.6443 Epoch 9/50 77/77 [==============================] - 0s 816us/step - loss: 0.6409 Epoch 10/50 77/77 [==============================] - 0s 816us/step - loss: 0.6373 Epoch 11/50 77/77 [==============================] - 0s 829us/step - loss: 0.6334 Epoch 12/50 77/77 [==============================] - 0s 829us/step - loss: 0.6304 Epoch 13/50 77/77 [==============================] - 0s 764us/step - loss: 0.6277 Epoch 14/50 77/77 [==============================] - 0s 790us/step - loss: 0.6256 Epoch 15/50 77/77 [==============================] - 0s 790us/step - loss: 0.6230 Epoch 16/50 77/77 [==============================] - 0s 790us/step - loss: 0.6209 Epoch 17/50 77/77 [==============================] - 0s 816us/step - loss: 0.6179 Epoch 18/50 77/77 [==============================] - 0s 803us/step - loss: 0.6178 Epoch 19/50 77/77 [==============================] - 0s 803us/step - loss: 0.6148 Epoch 20/50 77/77 [==============================] - 0s 764us/step - loss: 0.6133 Epoch 21/50 77/77 [==============================] - 0s 803us/step - loss: 0.6130 Epoch 22/50 77/77 [==============================] - 0s 790us/step - loss: 0.6098 Epoch 23/50 77/77 [==============================] - 0s 816us/step - loss: 0.6096 Epoch 24/50 77/77 [==============================] - 0s 790us/step - loss: 0.6072 Epoch 25/50 77/77 [==============================] - 0s 790us/step - loss: 0.6067 Epoch 26/50 77/77 [==============================] - 0s 829us/step - loss: 0.6045 Epoch 27/50 77/77 [==============================] - 0s 790us/step - loss: 0.6031 Epoch 28/50 77/77 [==============================] - 0s 803us/step - loss: 0.6024 Epoch 29/50 77/77 [==============================] - 0s 842us/step - loss: 0.6016 Epoch 30/50 77/77 [==============================] - 0s 868us/step - loss: 0.6004 Epoch 31/50 77/77 [==============================] - 0s 777us/step - loss: 0.5983 Epoch 32/50 77/77 [==============================] - 0s 816us/step - loss: 0.5985 Epoch 33/50 77/77 [==============================] - 0s 751us/step - loss: 0.5975 Epoch 34/50 77/77 [==============================] - 0s 790us/step - loss: 0.5956 Epoch 35/50 77/77 [==============================] - 0s 803us/step - loss: 0.5954 Epoch 36/50 77/77 [==============================] - 0s 816us/step - loss: 0.5940 Epoch 37/50 77/77 [==============================] - 0s 777us/step - loss: 0.5931 Epoch 38/50 77/77 [==============================] - 0s 764us/step - loss: 0.5925 Epoch 39/50 77/77 [==============================] - 0s 738us/step - loss: 0.5891 Epoch 40/50 77/77 [==============================] - 0s 777us/step - loss: 0.5906 Epoch 41/50 77/77 [==============================] - 0s 842us/step - loss: 0.5896 Epoch 42/50 77/77 [==============================] - 0s 829us/step - loss: 0.5886 Epoch 43/50 77/77 [==============================] - 0s 777us/step - loss: 0.5882 Epoch 44/50 77/77 [==============================] - 0s 751us/step - loss: 0.5867 Epoch 45/50 77/77 [==============================] - 0s 764us/step - loss: 0.5866 Epoch 46/50 77/77 [==============================] - 0s 816us/step - loss: 0.5865 Epoch 47/50 77/77 [==============================] - 0s 725us/step - loss: 0.5837 Epoch 48/50 77/77 [==============================] - 0s 777us/step - loss: 0.5839 Epoch 49/50 77/77 [==============================] - 0s 829us/step - loss: 0.5843 Epoch 50/50 77/77 [==============================] - 0s 803us/step - loss: 0.5832 ###################################################################### Accuracy: 75.64787931005515 Epoch 1/50 77/77 [==============================] - 0s 790us/step - loss: 0.9900 Epoch 2/50 77/77 [==============================] - 0s 829us/step - loss: 0.9315 Epoch 3/50 77/77 [==============================] - 0s 790us/step - loss: 0.8621 Epoch 4/50 77/77 [==============================] - 0s 751us/step - loss: 0.8206 Epoch 5/50 77/77 [==============================] - 0s 816us/step - loss: 0.7984 Epoch 6/50 77/77 [==============================] - 0s 790us/step - loss: 0.7772 Epoch 7/50 77/77 [==============================] - 0s 816us/step - loss: 0.7589 Epoch 8/50 77/77 [==============================] - 0s 816us/step - loss: 0.7434 Epoch 9/50 77/77 [==============================] - 0s 816us/step - loss: 0.7281 Epoch 10/50 77/77 [==============================] - 0s 868us/step - loss: 0.7146 Epoch 11/50 77/77 [==============================] - 0s 764us/step - loss: 0.7020 Epoch 12/50 77/77 [==============================] - 0s 764us/step - loss: 0.6913 Epoch 13/50 77/77 [==============================] - 0s 790us/step - loss: 0.6795 Epoch 14/50 77/77 [==============================] - 0s 790us/step - loss: 0.6717 Epoch 15/50 77/77 [==============================] - 0s 764us/step - loss: 0.6620 Epoch 16/50 77/77 [==============================] - 0s 842us/step - loss: 0.6555 Epoch 17/50 77/77 [==============================] - 0s 816us/step - loss: 0.6484 Epoch 18/50 77/77 [==============================] - 0s 790us/step - loss: 0.6426 Epoch 19/50 77/77 [==============================] - 0s 803us/step - loss: 0.6368 Epoch 20/50 77/77 [==============================] - 0s 777us/step - loss: 0.6333 Epoch 21/50 77/77 [==============================] - 0s 803us/step - loss: 0.6275 Epoch 22/50 77/77 [==============================] - 0s 790us/step - loss: 0.6232 Epoch 23/50 77/77 [==============================] - 0s 790us/step - loss: 0.6175 Epoch 24/50 77/77 [==============================] - 0s 790us/step - loss: 0.6136 Epoch 25/50 77/77 [==============================] - 0s 842us/step - loss: 0.6108 Epoch 26/50 77/77 [==============================] - 0s 816us/step - loss: 0.6092 Epoch 27/50 77/77 [==============================] - 0s 816us/step - loss: 0.6059 Epoch 28/50 77/77 [==============================] - 0s 816us/step - loss: 0.6011 Epoch 29/50 77/77 [==============================] - 0s 803us/step - loss: 0.6008 Epoch 30/50 77/77 [==============================] - 0s 751us/step - loss: 0.5992 Epoch 31/50 77/77 [==============================] - 0s 777us/step - loss: 0.5975 Epoch 32/50 77/77 [==============================] - 0s 790us/step - loss: 0.5956 Epoch 33/50 77/77 [==============================] - 0s 803us/step - loss: 0.5923 Epoch 34/50 77/77 [==============================] - 0s 829us/step - loss: 0.5917 Epoch 35/50 77/77 [==============================] - 0s 816us/step - loss: 0.5896 Epoch 36/50 77/77 [==============================] - 0s 842us/step - loss: 0.5874 Epoch 37/50 77/77 [==============================] - 0s 777us/step - loss: 0.5873 Epoch 38/50 77/77 [==============================] - 0s 816us/step - loss: 0.5852 Epoch 39/50 77/77 [==============================] - 0s 829us/step - loss: 0.5849 Epoch 40/50 77/77 [==============================] - 0s 777us/step - loss: 0.5827 Epoch 41/50 77/77 [==============================] - 0s 764us/step - loss: 0.5825 Epoch 42/50 77/77 [==============================] - 0s 842us/step - loss: 0.5811 Epoch 43/50 77/77 [==============================] - 0s 816us/step - loss: 0.5803 Epoch 44/50 77/77 [==============================] - 0s 790us/step - loss: 0.5796 Epoch 45/50 77/77 [==============================] - 0s 816us/step - loss: 0.5767 Epoch 46/50 77/77 [==============================] - 0s 829us/step - loss: 0.5770 Epoch 47/50 77/77 [==============================] - 0s 803us/step - loss: 0.5763 Epoch 48/50 77/77 [==============================] - 0s 803us/step - loss: 0.5753 Epoch 49/50 77/77 [==============================] - 0s 790us/step - loss: 0.5741 Epoch 50/50 77/77 [==============================] - 0s 829us/step - loss: 0.5716 ###################################################################### Accuracy: 69.01932730329612 Epoch 1/100 76/76 [==============================] - 0s 748us/step - loss: 1.0119 Epoch 2/100 76/76 [==============================] - 0s 787us/step - loss: 0.9593 Epoch 3/100 76/76 [==============================] - 0s 787us/step - loss: 0.8556 Epoch 4/100 76/76 [==============================] - 0s 709us/step - loss: 0.7579 Epoch 5/100 76/76 [==============================] - 0s 801us/step - loss: 0.6939 Epoch 6/100 76/76 [==============================] - 0s 748us/step - loss: 0.6575 Epoch 7/100 76/76 [==============================] - 0s 735us/step - loss: 0.6391 Epoch 8/100 76/76 [==============================] - 0s 748us/step - loss: 0.6285 Epoch 9/100 76/76 [==============================] - 0s 735us/step - loss: 0.6220 Epoch 10/100 76/76 [==============================] - 0s 682us/step - loss: 0.6165 Epoch 11/100 76/76 [==============================] - 0s 748us/step - loss: 0.6107 Epoch 12/100 76/76 [==============================] - 0s 735us/step - loss: 0.6072 Epoch 13/100 76/76 [==============================] - 0s 735us/step - loss: 0.6033 Epoch 14/100 76/76 [==============================] - 0s 722us/step - loss: 0.5981 Epoch 15/100 76/76 [==============================] - 0s 800us/step - loss: 0.5940 Epoch 16/100 76/76 [==============================] - 0s 735us/step - loss: 0.5910 Epoch 17/100 76/76 [==============================] - 0s 814us/step - loss: 0.5876 Epoch 18/100 76/76 [==============================] - 0s 748us/step - loss: 0.5853 Epoch 19/100 76/76 [==============================] - 0s 748us/step - loss: 0.5817 Epoch 20/100 76/76 [==============================] - 0s 774us/step - loss: 0.5798 Epoch 21/100 76/76 [==============================] - 0s 774us/step - loss: 0.5773 Epoch 22/100 76/76 [==============================] - 0s 787us/step - loss: 0.5753 Epoch 23/100 76/76 [==============================] - 0s 761us/step - loss: 0.5743 Epoch 24/100 76/76 [==============================] - 0s 774us/step - loss: 0.5716 Epoch 25/100 76/76 [==============================] - 0s 735us/step - loss: 0.5721 Epoch 26/100 76/76 [==============================] - 0s 748us/step - loss: 0.5701 Epoch 27/100 76/76 [==============================] - 0s 735us/step - loss: 0.5681 Epoch 28/100 76/76 [==============================] - 0s 787us/step - loss: 0.5669 Epoch 29/100 76/76 [==============================] - 0s 735us/step - loss: 0.5650 Epoch 30/100 76/76 [==============================] - 0s 761us/step - loss: 0.5643 Epoch 31/100 76/76 [==============================] - 0s 735us/step - loss: 0.5633 Epoch 32/100 76/76 [==============================] - 0s 800us/step - loss: 0.5595 Epoch 33/100 76/76 [==============================] - 0s 787us/step - loss: 0.5603 Epoch 34/100 76/76 [==============================] - 0s 748us/step - loss: 0.5589 Epoch 35/100 76/76 [==============================] - 0s 814us/step - loss: 0.5580 Epoch 36/100 76/76 [==============================] - 0s 761us/step - loss: 0.5572 Epoch 37/100 76/76 [==============================] - 0s 748us/step - loss: 0.5567 Epoch 38/100 76/76 [==============================] - 0s 787us/step - loss: 0.5537 Epoch 39/100 76/76 [==============================] - 0s 761us/step - loss: 0.5526 Epoch 40/100 76/76 [==============================] - ETA: 0s - loss: 0.553 - 0s 774us/step - loss: 0.5523 Epoch 41/100 76/76 [==============================] - 0s 774us/step - loss: 0.5526 Epoch 42/100 76/76 [==============================] - 0s 735us/step - loss: 0.5508 Epoch 43/100 76/76 [==============================] - 0s 774us/step - loss: 0.5516 Epoch 44/100 76/76 [==============================] - 0s 748us/step - loss: 0.5504 Epoch 45/100 76/76 [==============================] - 0s 787us/step - loss: 0.5493 Epoch 46/100 76/76 [==============================] - 0s 722us/step - loss: 0.5492 Epoch 47/100 76/76 [==============================] - 0s 761us/step - loss: 0.5479 Epoch 48/100 76/76 [==============================] - 0s 748us/step - loss: 0.5481 0s - loss: 0.543 Epoch 49/100 76/76 [==============================] - 0s 695us/step - loss: 0.5472 Epoch 50/100 76/76 [==============================] - 0s 761us/step - loss: 0.5473 Epoch 51/100 76/76 [==============================] - 0s 814us/step - loss: 0.5469 Epoch 52/100 76/76 [==============================] - 0s 774us/step - loss: 0.5467 Epoch 53/100 76/76 [==============================] - 0s 774us/step - loss: 0.5458 Epoch 54/100 76/76 [==============================] - 0s 774us/step - loss: 0.5453 Epoch 55/100 76/76 [==============================] - 0s 735us/step - loss: 0.5441 Epoch 56/100 76/76 [==============================] - 0s 761us/step - loss: 0.5445 Epoch 57/100 76/76 [==============================] - 0s 774us/step - loss: 0.5447 Epoch 58/100 76/76 [==============================] - 0s 787us/step - loss: 0.5418 Epoch 59/100 76/76 [==============================] - 0s 761us/step - loss: 0.5424 Epoch 60/100 76/76 [==============================] - 0s 735us/step - loss: 0.5429 Epoch 61/100 76/76 [==============================] - 0s 748us/step - loss: 0.5417 Epoch 62/100 76/76 [==============================] - 0s 722us/step - loss: 0.5416 Epoch 63/100 76/76 [==============================] - 0s 709us/step - loss: 0.5413 Epoch 64/100 76/76 [==============================] - 0s 761us/step - loss: 0.5382 Epoch 65/100 76/76 [==============================] - 0s 801us/step - loss: 0.5416 Epoch 66/100 76/76 [==============================] - 0s 761us/step - loss: 0.5406 Epoch 67/100 76/76 [==============================] - 0s 761us/step - loss: 0.5403 Epoch 68/100 76/76 [==============================] - 0s 840us/step - loss: 0.5403 Epoch 69/100 76/76 [==============================] - 0s 761us/step - loss: 0.5406 Epoch 70/100 76/76 [==============================] - 0s 748us/step - loss: 0.5397 Epoch 71/100 76/76 [==============================] - 0s 800us/step - loss: 0.5389 Epoch 72/100 76/76 [==============================] - 0s 735us/step - loss: 0.5400 Epoch 73/100 76/76 [==============================] - 0s 761us/step - loss: 0.5388 Epoch 74/100 76/76 [==============================] - 0s 787us/step - loss: 0.5391 Epoch 75/100 76/76 [==============================] - 0s 774us/step - loss: 0.5397 Epoch 76/100 76/76 [==============================] - 0s 787us/step - loss: 0.5392 Epoch 77/100 76/76 [==============================] - 0s 787us/step - loss: 0.5386 Epoch 78/100 76/76 [==============================] - 0s 735us/step - loss: 0.5381 Epoch 79/100 76/76 [==============================] - 0s 774us/step - loss: 0.5380 Epoch 80/100 76/76 [==============================] - 0s 748us/step - loss: 0.5377 Epoch 81/100 76/76 [==============================] - 0s 748us/step - loss: 0.5374 Epoch 82/100 76/76 [==============================] - 0s 722us/step - loss: 0.5365 Epoch 83/100 76/76 [==============================] - 0s 748us/step - loss: 0.5363 Epoch 84/100 76/76 [==============================] - 0s 748us/step - loss: 0.5377 Epoch 85/100 76/76 [==============================] - 0s 748us/step - loss: 0.5371 Epoch 86/100 76/76 [==============================] - 0s 722us/step - loss: 0.5374 Epoch 87/100 76/76 [==============================] - 0s 748us/step - loss: 0.5347 Epoch 88/100 76/76 [==============================] - 0s 735us/step - loss: 0.5373 Epoch 89/100 76/76 [==============================] - 0s 774us/step - loss: 0.5345 Epoch 90/100 76/76 [==============================] - 0s 735us/step - loss: 0.5363 Epoch 91/100 76/76 [==============================] - 0s 787us/step - loss: 0.5354 Epoch 92/100 76/76 [==============================] - 0s 735us/step - loss: 0.5355 Epoch 93/100 76/76 [==============================] - 0s 761us/step - loss: 0.5359 Epoch 94/100 76/76 [==============================] - 0s 774us/step - loss: 0.5344 Epoch 95/100 76/76 [==============================] - 0s 761us/step - loss: 0.5356 Epoch 96/100 76/76 [==============================] - 0s 774us/step - loss: 0.5348 Epoch 97/100 76/76 [==============================] - 0s 761us/step - loss: 0.5349 Epoch 98/100 76/76 [==============================] - 0s 774us/step - loss: 0.5333 Epoch 99/100 76/76 [==============================] - 0s 735us/step - loss: 0.5357 Epoch 100/100 76/76 [==============================] - 0s 748us/step - loss: 0.5331 ###################################################################### Accuracy: 71.16648336050847 Epoch 1/100 77/77 [==============================] - 0s 868us/step - loss: 0.9760 Epoch 2/100 77/77 [==============================] - 0s 850us/step - loss: 0.9148 Epoch 3/100 77/77 [==============================] - 0s 816us/step - loss: 0.8153 Epoch 4/100 77/77 [==============================] - 0s 855us/step - loss: 0.7225 Epoch 5/100 77/77 [==============================] - 0s 803us/step - loss: 0.6734 Epoch 6/100 77/77 [==============================] - 0s 803us/step - loss: 0.6546 Epoch 7/100 77/77 [==============================] - 0s 855us/step - loss: 0.6466 Epoch 8/100 77/77 [==============================] - 0s 803us/step - loss: 0.6425 Epoch 9/100 77/77 [==============================] - 0s 816us/step - loss: 0.6393 Epoch 10/100 77/77 [==============================] - 0s 829us/step - loss: 0.6362 Epoch 11/100 77/77 [==============================] - 0s 803us/step - loss: 0.6327 Epoch 12/100 77/77 [==============================] - 0s 751us/step - loss: 0.6308 Epoch 13/100 77/77 [==============================] - 0s 829us/step - loss: 0.6284 Epoch 14/100 77/77 [==============================] - 0s 764us/step - loss: 0.6246 Epoch 15/100 77/77 [==============================] - 0s 803us/step - loss: 0.6232 Epoch 16/100 77/77 [==============================] - 0s 803us/step - loss: 0.6216 Epoch 17/100 77/77 [==============================] - 0s 868us/step - loss: 0.6202 Epoch 18/100 77/77 [==============================] - 0s 816us/step - loss: 0.6163 Epoch 19/100 77/77 [==============================] - 0s 751us/step - loss: 0.6160 Epoch 20/100 77/77 [==============================] - 0s 803us/step - loss: 0.6128 Epoch 21/100 77/77 [==============================] - 0s 816us/step - loss: 0.6100 Epoch 22/100 77/77 [==============================] - 0s 790us/step - loss: 0.6091 Epoch 23/100 77/77 [==============================] - 0s 803us/step - loss: 0.6069 Epoch 24/100 77/77 [==============================] - 0s 790us/step - loss: 0.6037 Epoch 25/100 77/77 [==============================] - 0s 803us/step - loss: 0.6010 Epoch 26/100 77/77 [==============================] - 0s 777us/step - loss: 0.5987 Epoch 27/100 77/77 [==============================] - 0s 816us/step - loss: 0.5962 Epoch 28/100 77/77 [==============================] - 0s 842us/step - loss: 0.5939 Epoch 29/100 77/77 [==============================] - 0s 829us/step - loss: 0.5930 Epoch 30/100 77/77 [==============================] - 0s 803us/step - loss: 0.5904 Epoch 31/100 77/77 [==============================] - 0s 803us/step - loss: 0.5897 Epoch 32/100 77/77 [==============================] - 0s 829us/step - loss: 0.5894 Epoch 33/100 77/77 [==============================] - 0s 816us/step - loss: 0.5879 Epoch 34/100 77/77 [==============================] - 0s 803us/step - loss: 0.5857 Epoch 35/100 77/77 [==============================] - 0s 790us/step - loss: 0.5863 Epoch 36/100 77/77 [==============================] - 0s 816us/step - loss: 0.5845 Epoch 37/100 77/77 [==============================] - 0s 816us/step - loss: 0.5794 Epoch 38/100 77/77 [==============================] - 0s 764us/step - loss: 0.5834 Epoch 39/100 77/77 [==============================] - 0s 777us/step - loss: 0.5828 Epoch 40/100 77/77 [==============================] - 0s 777us/step - loss: 0.5808 Epoch 41/100 77/77 [==============================] - 0s 790us/step - loss: 0.5812 Epoch 42/100 77/77 [==============================] - 0s 764us/step - loss: 0.5804 Epoch 43/100 77/77 [==============================] - 0s 816us/step - loss: 0.5792 Epoch 44/100 77/77 [==============================] - 0s 816us/step - loss: 0.5784 Epoch 45/100 77/77 [==============================] - 0s 816us/step - loss: 0.5781 Epoch 46/100 77/77 [==============================] - 0s 803us/step - loss: 0.5774 Epoch 47/100 77/77 [==============================] - 0s 777us/step - loss: 0.5759 Epoch 48/100 77/77 [==============================] - 0s 790us/step - loss: 0.5765 Epoch 49/100 77/77 [==============================] - 0s 777us/step - loss: 0.5746 Epoch 50/100 77/77 [==============================] - 0s 803us/step - loss: 0.5742 Epoch 51/100 77/77 [==============================] - 0s 777us/step - loss: 0.5743 Epoch 52/100 77/77 [==============================] - 0s 790us/step - loss: 0.5718 Epoch 53/100 77/77 [==============================] - 0s 816us/step - loss: 0.5729 Epoch 54/100 77/77 [==============================] - 0s 842us/step - loss: 0.5719 Epoch 55/100 77/77 [==============================] - 0s 790us/step - loss: 0.5715 Epoch 56/100 77/77 [==============================] - 0s 790us/step - loss: 0.5715 Epoch 57/100 77/77 [==============================] - 0s 751us/step - loss: 0.5713 Epoch 58/100 77/77 [==============================] - 0s 777us/step - loss: 0.5694 Epoch 59/100 77/77 [==============================] - 0s 803us/step - loss: 0.5698 Epoch 60/100 77/77 [==============================] - 0s 751us/step - loss: 0.5691 Epoch 61/100 77/77 [==============================] - 0s 816us/step - loss: 0.5687 Epoch 62/100 77/77 [==============================] - 0s 751us/step - loss: 0.5679 Epoch 63/100 77/77 [==============================] - 0s 803us/step - loss: 0.5677 Epoch 64/100 77/77 [==============================] - 0s 777us/step - loss: 0.5679 Epoch 65/100 77/77 [==============================] - 0s 816us/step - loss: 0.5666 Epoch 66/100 77/77 [==============================] - 0s 790us/step - loss: 0.5664 Epoch 67/100 77/77 [==============================] - 0s 764us/step - loss: 0.5659 Epoch 68/100 77/77 [==============================] - 0s 803us/step - loss: 0.5652 Epoch 69/100 77/77 [==============================] - 0s 751us/step - loss: 0.5661 Epoch 70/100 77/77 [==============================] - 0s 829us/step - loss: 0.5653 Epoch 71/100 77/77 [==============================] - 0s 777us/step - loss: 0.5652 Epoch 72/100 77/77 [==============================] - 0s 777us/step - loss: 0.5643 Epoch 73/100 77/77 [==============================] - 0s 764us/step - loss: 0.5652 Epoch 74/100 77/77 [==============================] - 0s 751us/step - loss: 0.5651 Epoch 75/100 77/77 [==============================] - 0s 777us/step - loss: 0.5623 Epoch 76/100 77/77 [==============================] - 0s 777us/step - loss: 0.5624 Epoch 77/100 77/77 [==============================] - 0s 751us/step - loss: 0.5630 Epoch 78/100 77/77 [==============================] - 0s 790us/step - loss: 0.5623 Epoch 79/100 77/77 [==============================] - 0s 777us/step - loss: 0.5618 Epoch 80/100 77/77 [==============================] - 0s 803us/step - loss: 0.5618 Epoch 81/100 77/77 [==============================] - 0s 790us/step - loss: 0.5602 Epoch 82/100 77/77 [==============================] - 0s 764us/step - loss: 0.5603 Epoch 83/100 77/77 [==============================] - 0s 803us/step - loss: 0.5594 Epoch 84/100 77/77 [==============================] - 0s 803us/step - loss: 0.5600 Epoch 85/100 77/77 [==============================] - 0s 803us/step - loss: 0.5585 Epoch 86/100 77/77 [==============================] - 0s 790us/step - loss: 0.5585 Epoch 87/100 77/77 [==============================] - 0s 751us/step - loss: 0.5598 Epoch 88/100 77/77 [==============================] - 0s 816us/step - loss: 0.5592 Epoch 89/100 77/77 [==============================] - 0s 764us/step - loss: 0.5588 Epoch 90/100 77/77 [==============================] - 0s 816us/step - loss: 0.5572 Epoch 91/100 77/77 [==============================] - 0s 829us/step - loss: 0.5572 Epoch 92/100 77/77 [==============================] - 0s 790us/step - loss: 0.5565 Epoch 93/100 77/77 [==============================] - 0s 803us/step - loss: 0.5571 Epoch 94/100 77/77 [==============================] - 0s 816us/step - loss: 0.5567 Epoch 95/100 77/77 [==============================] - 0s 816us/step - loss: 0.5555 Epoch 96/100 77/77 [==============================] - 0s 868us/step - loss: 0.5563 Epoch 97/100 77/77 [==============================] - 0s 816us/step - loss: 0.5548 Epoch 98/100 77/77 [==============================] - 0s 790us/step - loss: 0.5563 Epoch 99/100 77/77 [==============================] - 0s 816us/step - loss: 0.5544 Epoch 100/100 77/77 [==============================] - 0s 829us/step - loss: 0.5530 ###################################################################### Accuracy: 74.49115097572403 Epoch 1/100 1/77 [..............................] - ETA: 0s - loss: 0.9437WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 77/77 [==============================] - 0s 894us/step - loss: 0.9664 Epoch 2/100 77/77 [==============================] - 0s 816us/step - loss: 0.9089 Epoch 3/100 77/77 [==============================] - 0s 790us/step - loss: 0.8128 Epoch 4/100 77/77 [==============================] - 0s 816us/step - loss: 0.7280 Epoch 5/100 77/77 [==============================] - 0s 777us/step - loss: 0.6696 Epoch 6/100 77/77 [==============================] - 0s 816us/step - loss: 0.6396 Epoch 7/100 77/77 [==============================] - 0s 816us/step - loss: 0.6242 Epoch 8/100 77/77 [==============================] - 0s 803us/step - loss: 0.6138 Epoch 9/100 77/77 [==============================] - 0s 790us/step - loss: 0.6083 Epoch 10/100 77/77 [==============================] - 0s 764us/step - loss: 0.6045 Epoch 11/100 77/77 [==============================] - 0s 816us/step - loss: 0.6009 Epoch 12/100 77/77 [==============================] - 0s 829us/step - loss: 0.5979 Epoch 13/100 77/77 [==============================] - 0s 790us/step - loss: 0.5953 Epoch 14/100 77/77 [==============================] - 0s 790us/step - loss: 0.5934 Epoch 15/100 77/77 [==============================] - 0s 803us/step - loss: 0.5906 Epoch 16/100 77/77 [==============================] - 0s 816us/step - loss: 0.5878 Epoch 17/100 77/77 [==============================] - 0s 790us/step - loss: 0.5862 Epoch 18/100 77/77 [==============================] - 0s 764us/step - loss: 0.5829 Epoch 19/100 77/77 [==============================] - 0s 751us/step - loss: 0.5803 Epoch 20/100 77/77 [==============================] - 0s 764us/step - loss: 0.5791 Epoch 21/100 77/77 [==============================] - 0s 764us/step - loss: 0.5759 Epoch 22/100 77/77 [==============================] - 0s 1ms/step - loss: 0.5755 Epoch 23/100 77/77 [==============================] - 0s 868us/step - loss: 0.5732 Epoch 24/100 77/77 [==============================] - 0s 829us/step - loss: 0.5726 Epoch 25/100 77/77 [==============================] - 0s 920us/step - loss: 0.5700 Epoch 26/100 77/77 [==============================] - 0s 764us/step - loss: 0.5690 Epoch 27/100 77/77 [==============================] - 0s 764us/step - loss: 0.5678 Epoch 28/100 77/77 [==============================] - 0s 777us/step - loss: 0.5668 Epoch 29/100 77/77 [==============================] - 0s 803us/step - loss: 0.5666 Epoch 30/100 77/77 [==============================] - 0s 803us/step - loss: 0.5659 Epoch 31/100 77/77 [==============================] - 0s 790us/step - loss: 0.5636 Epoch 32/100 77/77 [==============================] - 0s 790us/step - loss: 0.5633 Epoch 33/100 77/77 [==============================] - 0s 738us/step - loss: 0.5621 Epoch 34/100 77/77 [==============================] - 0s 764us/step - loss: 0.5612 Epoch 35/100 77/77 [==============================] - 0s 790us/step - loss: 0.5591 Epoch 36/100 77/77 [==============================] - 0s 764us/step - loss: 0.5590 Epoch 37/100 77/77 [==============================] - 0s 764us/step - loss: 0.5597 Epoch 38/100 77/77 [==============================] - 0s 816us/step - loss: 0.5586 Epoch 39/100 77/77 [==============================] - 0s 816us/step - loss: 0.5579 Epoch 40/100 77/77 [==============================] - 0s 764us/step - loss: 0.5569 Epoch 41/100 77/77 [==============================] - 0s 790us/step - loss: 0.5568 Epoch 42/100 77/77 [==============================] - 0s 803us/step - loss: 0.5558 Epoch 43/100 77/77 [==============================] - 0s 764us/step - loss: 0.5549 Epoch 44/100 77/77 [==============================] - 0s 764us/step - loss: 0.5535 Epoch 45/100 77/77 [==============================] - 0s 777us/step - loss: 0.5548 Epoch 46/100 77/77 [==============================] - 0s 816us/step - loss: 0.5531 Epoch 47/100 77/77 [==============================] - 0s 777us/step - loss: 0.5533 Epoch 48/100 77/77 [==============================] - 0s 777us/step - loss: 0.5529 Epoch 49/100 77/77 [==============================] - 0s 855us/step - loss: 0.5526 Epoch 50/100 77/77 [==============================] - 0s 803us/step - loss: 0.5522 Epoch 51/100 77/77 [==============================] - 0s 816us/step - loss: 0.5496 Epoch 52/100 77/77 [==============================] - 0s 777us/step - loss: 0.5494 Epoch 53/100 77/77 [==============================] - 0s 751us/step - loss: 0.5510 Epoch 54/100 77/77 [==============================] - 0s 764us/step - loss: 0.5488 Epoch 55/100 77/77 [==============================] - 0s 764us/step - loss: 0.5487 Epoch 56/100 77/77 [==============================] - 0s 751us/step - loss: 0.5480 Epoch 57/100 77/77 [==============================] - 0s 751us/step - loss: 0.5480 0s - loss: 0.542 Epoch 58/100 77/77 [==============================] - 0s 738us/step - loss: 0.5467 Epoch 59/100 77/77 [==============================] - 0s 738us/step - loss: 0.5471 Epoch 60/100 77/77 [==============================] - 0s 777us/step - loss: 0.5456 Epoch 61/100 77/77 [==============================] - 0s 751us/step - loss: 0.5436 Epoch 62/100 77/77 [==============================] - 0s 777us/step - loss: 0.5453 Epoch 63/100 77/77 [==============================] - 0s 777us/step - loss: 0.5440 Epoch 64/100 77/77 [==============================] - 0s 764us/step - loss: 0.5435 Epoch 65/100 77/77 [==============================] - 0s 803us/step - loss: 0.5402 Epoch 66/100 77/77 [==============================] - 0s 777us/step - loss: 0.5430 Epoch 67/100 77/77 [==============================] - 0s 790us/step - loss: 0.5437 Epoch 68/100 77/77 [==============================] - 0s 816us/step - loss: 0.5427 Epoch 69/100 77/77 [==============================] - 0s 790us/step - loss: 0.5420 Epoch 70/100 77/77 [==============================] - 0s 764us/step - loss: 0.5412 Epoch 71/100 77/77 [==============================] - 0s 764us/step - loss: 0.5413 Epoch 72/100 77/77 [==============================] - 0s 777us/step - loss: 0.5394 Epoch 73/100 77/77 [==============================] - 0s 751us/step - loss: 0.5408 Epoch 74/100 77/77 [==============================] - 0s 751us/step - loss: 0.5388 Epoch 75/100 77/77 [==============================] - 0s 803us/step - loss: 0.5398 Epoch 76/100 77/77 [==============================] - 0s 803us/step - loss: 0.5377 Epoch 77/100 77/77 [==============================] - 0s 764us/step - loss: 0.5393 Epoch 78/100 77/77 [==============================] - 0s 803us/step - loss: 0.5351 Epoch 79/100 77/77 [==============================] - 0s 777us/step - loss: 0.5366 Epoch 80/100 77/77 [==============================] - 0s 777us/step - loss: 0.5380 Epoch 81/100 77/77 [==============================] - 0s 790us/step - loss: 0.5350 Epoch 82/100 77/77 [==============================] - 0s 777us/step - loss: 0.5356 Epoch 83/100 77/77 [==============================] - 0s 816us/step - loss: 0.5362 Epoch 84/100 77/77 [==============================] - 0s 790us/step - loss: 0.5329 Epoch 85/100 77/77 [==============================] - 0s 790us/step - loss: 0.5357 Epoch 86/100 77/77 [==============================] - 0s 777us/step - loss: 0.5355 Epoch 87/100 77/77 [==============================] - 0s 829us/step - loss: 0.5343 Epoch 88/100 77/77 [==============================] - 0s 829us/step - loss: 0.5352 Epoch 89/100 77/77 [==============================] - 0s 816us/step - loss: 0.5329 Epoch 90/100 77/77 [==============================] - 0s 738us/step - loss: 0.5314 Epoch 91/100 77/77 [==============================] - 0s 790us/step - loss: 0.5353 Epoch 92/100 77/77 [==============================] - 0s 829us/step - loss: 0.5335 Epoch 93/100 77/77 [==============================] - 0s 764us/step - loss: 0.5339 Epoch 94/100 77/77 [==============================] - 0s 816us/step - loss: 0.5324 Epoch 95/100 77/77 [==============================] - 0s 816us/step - loss: 0.5333 Epoch 96/100 77/77 [==============================] - 0s 803us/step - loss: 0.5312 Epoch 97/100 77/77 [==============================] - 0s 790us/step - loss: 0.5327 Epoch 98/100 77/77 [==============================] - 0s 790us/step - loss: 0.5317 Epoch 99/100 77/77 [==============================] - 0s 829us/step - loss: 0.5308 Epoch 100/100 77/77 [==============================] - 0s 790us/step - loss: 0.5289 ###################################################################### Accuracy: 98.88281113742732 Epoch 1/100 77/77 [==============================] - 0s 988us/step - loss: 1.0105 Epoch 2/100 77/77 [==============================] - 0s 842us/step - loss: 0.9532 Epoch 3/100 77/77 [==============================] - 0s 751us/step - loss: 0.8736 Epoch 4/100 77/77 [==============================] - 0s 790us/step - loss: 0.8122 Epoch 5/100 77/77 [==============================] - 0s 816us/step - loss: 0.7711 Epoch 6/100 77/77 [==============================] - 0s 790us/step - loss: 0.7349 Epoch 7/100 77/77 [==============================] - 0s 803us/step - loss: 0.7037 Epoch 8/100 77/77 [==============================] - 0s 777us/step - loss: 0.6798 Epoch 9/100 77/77 [==============================] - 0s 816us/step - loss: 0.6616 Epoch 10/100 77/77 [==============================] - 0s 764us/step - loss: 0.6475 Epoch 11/100 77/77 [==============================] - 0s 816us/step - loss: 0.6387 Epoch 12/100 77/77 [==============================] - 0s 790us/step - loss: 0.6302 Epoch 13/100 77/77 [==============================] - 0s 803us/step - loss: 0.6258 Epoch 14/100 77/77 [==============================] - 0s 764us/step - loss: 0.6198 Epoch 15/100 77/77 [==============================] - 0s 764us/step - loss: 0.6168 Epoch 16/100 77/77 [==============================] - 0s 829us/step - loss: 0.6129 Epoch 17/100 77/77 [==============================] - 0s 842us/step - loss: 0.6106 Epoch 18/100 77/77 [==============================] - 0s 816us/step - loss: 0.6069 Epoch 19/100 77/77 [==============================] - 0s 790us/step - loss: 0.6040 Epoch 20/100 77/77 [==============================] - 0s 790us/step - loss: 0.6032 Epoch 21/100 77/77 [==============================] - 0s 829us/step - loss: 0.6007 Epoch 22/100 77/77 [==============================] - 0s 816us/step - loss: 0.5993 Epoch 23/100 77/77 [==============================] - 0s 816us/step - loss: 0.5977 Epoch 24/100 77/77 [==============================] - 0s 790us/step - loss: 0.5963 Epoch 25/100 77/77 [==============================] - 0s 764us/step - loss: 0.5953 Epoch 26/100 77/77 [==============================] - 0s 803us/step - loss: 0.5932 Epoch 27/100 77/77 [==============================] - 0s 816us/step - loss: 0.5936 Epoch 28/100 77/77 [==============================] - 0s 855us/step - loss: 0.5905 Epoch 29/100 77/77 [==============================] - 0s 816us/step - loss: 0.5903 Epoch 30/100 77/77 [==============================] - 0s 816us/step - loss: 0.5893 Epoch 31/100 77/77 [==============================] - 0s 764us/step - loss: 0.5875 Epoch 32/100 77/77 [==============================] - 0s 725us/step - loss: 0.5876 Epoch 33/100 77/77 [==============================] - 0s 790us/step - loss: 0.5866 Epoch 34/100 77/77 [==============================] - 0s 816us/step - loss: 0.5844 Epoch 35/100 77/77 [==============================] - 0s 842us/step - loss: 0.5851 Epoch 36/100 77/77 [==============================] - 0s 855us/step - loss: 0.5844 Epoch 37/100 77/77 [==============================] - 0s 816us/step - loss: 0.5824 Epoch 38/100 77/77 [==============================] - 0s 803us/step - loss: 0.5823 Epoch 39/100 77/77 [==============================] - 0s 764us/step - loss: 0.5813 Epoch 40/100 77/77 [==============================] - 0s 764us/step - loss: 0.5799 Epoch 41/100 77/77 [==============================] - 0s 790us/step - loss: 0.5798 Epoch 42/100 77/77 [==============================] - 0s 738us/step - loss: 0.5792 Epoch 43/100 77/77 [==============================] - 0s 790us/step - loss: 0.5792 Epoch 44/100 77/77 [==============================] - 0s 829us/step - loss: 0.5775 Epoch 45/100 77/77 [==============================] - 0s 790us/step - loss: 0.5777 Epoch 46/100 77/77 [==============================] - 0s 816us/step - loss: 0.5771 Epoch 47/100 77/77 [==============================] - 0s 803us/step - loss: 0.5744 Epoch 48/100 77/77 [==============================] - 0s 803us/step - loss: 0.5745 Epoch 49/100 77/77 [==============================] - 0s 790us/step - loss: 0.5728 Epoch 50/100 77/77 [==============================] - 0s 816us/step - loss: 0.5723 Epoch 51/100 77/77 [==============================] - 0s 790us/step - loss: 0.5752 Epoch 52/100 77/77 [==============================] - 0s 777us/step - loss: 0.5746 Epoch 53/100 77/77 [==============================] - 0s 764us/step - loss: 0.5736 Epoch 54/100 77/77 [==============================] - 0s 751us/step - loss: 0.5730 Epoch 55/100 77/77 [==============================] - 0s 764us/step - loss: 0.5732 Epoch 56/100 77/77 [==============================] - 0s 777us/step - loss: 0.5727 Epoch 57/100 77/77 [==============================] - 0s 777us/step - loss: 0.5712 Epoch 58/100 77/77 [==============================] - 0s 790us/step - loss: 0.5725 Epoch 59/100 77/77 [==============================] - 0s 751us/step - loss: 0.5702 Epoch 60/100 77/77 [==============================] - 0s 777us/step - loss: 0.5692 Epoch 61/100 77/77 [==============================] - 0s 790us/step - loss: 0.5720 Epoch 62/100 77/77 [==============================] - 0s 764us/step - loss: 0.5703 Epoch 63/100 77/77 [==============================] - 0s 777us/step - loss: 0.5689 Epoch 64/100 77/77 [==============================] - 0s 764us/step - loss: 0.5702 Epoch 65/100 77/77 [==============================] - 0s 790us/step - loss: 0.5677 Epoch 66/100 77/77 [==============================] - 0s 803us/step - loss: 0.5672 Epoch 67/100 77/77 [==============================] - 0s 790us/step - loss: 0.5683 Epoch 68/100 77/77 [==============================] - 0s 790us/step - loss: 0.5682 Epoch 69/100 77/77 [==============================] - 0s 803us/step - loss: 0.5674 Epoch 70/100 77/77 [==============================] - 0s 829us/step - loss: 0.5667 Epoch 71/100 77/77 [==============================] - 0s 829us/step - loss: 0.5670 Epoch 72/100 77/77 [==============================] - 0s 842us/step - loss: 0.5669 Epoch 73/100 77/77 [==============================] - 0s 790us/step - loss: 0.5665 Epoch 74/100 77/77 [==============================] - 0s 790us/step - loss: 0.5661 Epoch 75/100 77/77 [==============================] - 0s 764us/step - loss: 0.5649 Epoch 76/100 77/77 [==============================] - 0s 790us/step - loss: 0.5660 Epoch 77/100 77/77 [==============================] - 0s 764us/step - loss: 0.5646 Epoch 78/100 77/77 [==============================] - 0s 751us/step - loss: 0.5655 Epoch 79/100 77/77 [==============================] - 0s 816us/step - loss: 0.5649 Epoch 80/100 77/77 [==============================] - 0s 816us/step - loss: 0.5647 Epoch 81/100 77/77 [==============================] - 0s 803us/step - loss: 0.5633 Epoch 82/100 77/77 [==============================] - 0s 803us/step - loss: 0.5638 Epoch 83/100 77/77 [==============================] - 0s 803us/step - loss: 0.5631 Epoch 84/100 77/77 [==============================] - 0s 764us/step - loss: 0.5640 Epoch 85/100 77/77 [==============================] - 0s 751us/step - loss: 0.5635 Epoch 86/100 77/77 [==============================] - 0s 790us/step - loss: 0.5619 Epoch 87/100 77/77 [==============================] - 0s 829us/step - loss: 0.5619 Epoch 88/100 77/77 [==============================] - 0s 829us/step - loss: 0.5623 Epoch 89/100 77/77 [==============================] - 0s 790us/step - loss: 0.5617 Epoch 90/100 77/77 [==============================] - 0s 829us/step - loss: 0.5609 Epoch 91/100 77/77 [==============================] - 0s 790us/step - loss: 0.5624 Epoch 92/100 77/77 [==============================] - 0s 790us/step - loss: 0.5614 Epoch 93/100 77/77 [==============================] - 0s 790us/step - loss: 0.5598 Epoch 94/100 77/77 [==============================] - 0s 829us/step - loss: 0.5563 Epoch 95/100 77/77 [==============================] - 0s 803us/step - loss: 0.5599 Epoch 96/100 77/77 [==============================] - 0s 777us/step - loss: 0.5590 Epoch 97/100 77/77 [==============================] - 0s 751us/step - loss: 0.5612 Epoch 98/100 77/77 [==============================] - 0s 790us/step - loss: 0.5591 Epoch 99/100 77/77 [==============================] - 0s 816us/step - loss: 0.5593 Epoch 100/100 77/77 [==============================] - 0s 790us/step - loss: 0.5570 ###################################################################### Accuracy: 79.66075027983955 Epoch 1/100 77/77 [==============================] - 0s 855us/step - loss: 0.9927 Epoch 2/100 77/77 [==============================] - 0s 795us/step - loss: 0.9406 Epoch 3/100 77/77 [==============================] - 0s 803us/step - loss: 0.8648 Epoch 4/100 77/77 [==============================] - 0s 803us/step - loss: 0.8227 Epoch 5/100 77/77 [==============================] - 0s 816us/step - loss: 0.7963 Epoch 6/100 77/77 [==============================] - 0s 777us/step - loss: 0.7762 Epoch 7/100 77/77 [==============================] - 0s 803us/step - loss: 0.7588 Epoch 8/100 77/77 [==============================] - 0s 842us/step - loss: 0.7423 Epoch 9/100 77/77 [==============================] - 0s 777us/step - loss: 0.7261 Epoch 10/100 77/77 [==============================] - 0s 738us/step - loss: 0.7153 Epoch 11/100 77/77 [==============================] - 0s 777us/step - loss: 0.7035 Epoch 12/100 77/77 [==============================] - 0s 738us/step - loss: 0.6928 Epoch 13/100 77/77 [==============================] - 0s 816us/step - loss: 0.6836 Epoch 14/100 77/77 [==============================] - 0s 816us/step - loss: 0.6749 Epoch 15/100 77/77 [==============================] - 0s 790us/step - loss: 0.6672 Epoch 16/100 77/77 [==============================] - 0s 751us/step - loss: 0.6597 Epoch 17/100 77/77 [==============================] - 0s 751us/step - loss: 0.6518 Epoch 18/100 77/77 [==============================] - 0s 751us/step - loss: 0.6453 Epoch 19/100 77/77 [==============================] - 0s 803us/step - loss: 0.6394 Epoch 20/100 77/77 [==============================] - 0s 816us/step - loss: 0.6325 Epoch 21/100 77/77 [==============================] - 0s 816us/step - loss: 0.6285 Epoch 22/100 77/77 [==============================] - 0s 790us/step - loss: 0.6234 Epoch 23/100 77/77 [==============================] - 0s 751us/step - loss: 0.6189 Epoch 24/100 77/77 [==============================] - 0s 764us/step - loss: 0.6134 Epoch 25/100 77/77 [==============================] - 0s 790us/step - loss: 0.6126 Epoch 26/100 77/77 [==============================] - 0s 816us/step - loss: 0.6080 Epoch 27/100 77/77 [==============================] - 0s 829us/step - loss: 0.6046 Epoch 28/100 77/77 [==============================] - 0s 829us/step - loss: 0.6012 Epoch 29/100 77/77 [==============================] - 0s 816us/step - loss: 0.5987 Epoch 30/100 77/77 [==============================] - 0s 803us/step - loss: 0.5962 Epoch 31/100 77/77 [==============================] - 0s 803us/step - loss: 0.5930 Epoch 32/100 77/77 [==============================] - 0s 777us/step - loss: 0.5926 Epoch 33/100 77/77 [==============================] - 0s 816us/step - loss: 0.5895 Epoch 34/100 77/77 [==============================] - 0s 803us/step - loss: 0.5885 Epoch 35/100 77/77 [==============================] - 0s 803us/step - loss: 0.5852 Epoch 36/100 77/77 [==============================] - 0s 803us/step - loss: 0.5782 Epoch 37/100 77/77 [==============================] - 0s 751us/step - loss: 0.5810 Epoch 38/100 77/77 [==============================] - 0s 777us/step - loss: 0.5801 Epoch 39/100 77/77 [==============================] - 0s 803us/step - loss: 0.5789 Epoch 40/100 77/77 [==============================] - 0s 803us/step - loss: 0.5760 Epoch 41/100 77/77 [==============================] - 0s 803us/step - loss: 0.5771 Epoch 42/100 77/77 [==============================] - 0s 816us/step - loss: 0.5750 Epoch 43/100 77/77 [==============================] - 0s 777us/step - loss: 0.5730 Epoch 44/100 77/77 [==============================] - 0s 816us/step - loss: 0.5710 Epoch 45/100 77/77 [==============================] - 0s 803us/step - loss: 0.5706 Epoch 46/100 77/77 [==============================] - 0s 790us/step - loss: 0.5695 Epoch 47/100 77/77 [==============================] - 0s 751us/step - loss: 0.5684 Epoch 48/100 77/77 [==============================] - 0s 738us/step - loss: 0.5670 Epoch 49/100 77/77 [==============================] - 0s 777us/step - loss: 0.5660 Epoch 50/100 77/77 [==============================] - 0s 816us/step - loss: 0.5659 Epoch 51/100 77/77 [==============================] - 0s 790us/step - loss: 0.5637 Epoch 52/100 77/77 [==============================] - 0s 764us/step - loss: 0.5637 Epoch 53/100 77/77 [==============================] - 0s 751us/step - loss: 0.5606 Epoch 54/100 77/77 [==============================] - 0s 777us/step - loss: 0.5621 Epoch 55/100 77/77 [==============================] - 0s 803us/step - loss: 0.5614 Epoch 56/100 77/77 [==============================] - 0s 803us/step - loss: 0.5595 Epoch 57/100 77/77 [==============================] - 0s 777us/step - loss: 0.5600 Epoch 58/100 77/77 [==============================] - 0s 803us/step - loss: 0.5591 Epoch 59/100 77/77 [==============================] - 0s 751us/step - loss: 0.5578 Epoch 60/100 77/77 [==============================] - 0s 777us/step - loss: 0.5575 Epoch 61/100 77/77 [==============================] - 0s 764us/step - loss: 0.5573 Epoch 62/100 77/77 [==============================] - 0s 777us/step - loss: 0.5559 Epoch 63/100 77/77 [==============================] - 0s 777us/step - loss: 0.5560 Epoch 64/100 77/77 [==============================] - 0s 790us/step - loss: 0.5537 Epoch 65/100 77/77 [==============================] - 0s 764us/step - loss: 0.5539 Epoch 66/100 77/77 [==============================] - 0s 790us/step - loss: 0.5532 Epoch 67/100 77/77 [==============================] - 0s 790us/step - loss: 0.5519 Epoch 68/100 77/77 [==============================] - 0s 751us/step - loss: 0.5522 Epoch 69/100 77/77 [==============================] - 0s 790us/step - loss: 0.5519 Epoch 70/100 77/77 [==============================] - 0s 777us/step - loss: 0.5514 Epoch 71/100 77/77 [==============================] - 0s 829us/step - loss: 0.5490 Epoch 72/100 77/77 [==============================] - 0s 842us/step - loss: 0.5516 Epoch 73/100 77/77 [==============================] - 0s 816us/step - loss: 0.5485 Epoch 74/100 77/77 [==============================] - 0s 829us/step - loss: 0.5477 Epoch 75/100 77/77 [==============================] - 0s 816us/step - loss: 0.5490 Epoch 76/100 77/77 [==============================] - 0s 764us/step - loss: 0.5483 Epoch 77/100 77/77 [==============================] - 0s 764us/step - loss: 0.5492 Epoch 78/100 77/77 [==============================] - 0s 816us/step - loss: 0.5479 Epoch 79/100 77/77 [==============================] - 0s 777us/step - loss: 0.5475 Epoch 80/100 77/77 [==============================] - 0s 829us/step - loss: 0.5427 Epoch 81/100 77/77 [==============================] - 0s 829us/step - loss: 0.5464 Epoch 82/100 77/77 [==============================] - 0s 803us/step - loss: 0.5472 Epoch 83/100 77/77 [==============================] - 0s 803us/step - loss: 0.5456 Epoch 84/100 77/77 [==============================] - 0s 829us/step - loss: 0.5462 Epoch 85/100 77/77 [==============================] - 0s 790us/step - loss: 0.5447 Epoch 86/100 77/77 [==============================] - 0s 816us/step - loss: 0.5454 Epoch 87/100 77/77 [==============================] - 0s 790us/step - loss: 0.5437 Epoch 88/100 77/77 [==============================] - 0s 816us/step - loss: 0.5444 Epoch 89/100 77/77 [==============================] - 0s 777us/step - loss: 0.5426 Epoch 90/100 77/77 [==============================] - 0s 803us/step - loss: 0.5417 Epoch 91/100 77/77 [==============================] - 0s 829us/step - loss: 0.5421 Epoch 92/100 77/77 [==============================] - 0s 803us/step - loss: 0.5419 Epoch 93/100 77/77 [==============================] - 0s 803us/step - loss: 0.5414 Epoch 94/100 77/77 [==============================] - 0s 738us/step - loss: 0.5420 Epoch 95/100 77/77 [==============================] - 0s 803us/step - loss: 0.5424 Epoch 96/100 77/77 [==============================] - 0s 764us/step - loss: 0.5405 Epoch 97/100 77/77 [==============================] - 0s 790us/step - loss: 0.5400 Epoch 98/100 77/77 [==============================] - 0s 790us/step - loss: 0.5405 Epoch 99/100 77/77 [==============================] - 0s 764us/step - loss: 0.5387 Epoch 100/100 77/77 [==============================] - 0s 790us/step - loss: 0.5382 ###################################################################### Accuracy: 75.13815539220329 Epoch 1/150 76/76 [==============================] - 0s 761us/step - loss: 1.0108 Epoch 2/150 76/76 [==============================] - 0s 774us/step - loss: 0.9722 Epoch 3/150 76/76 [==============================] - 0s 774us/step - loss: 0.8836 Epoch 4/150 76/76 [==============================] - 0s 800us/step - loss: 0.7702 Epoch 5/150 76/76 [==============================] - 0s 748us/step - loss: 0.6913 Epoch 6/150 76/76 [==============================] - 0s 787us/step - loss: 0.6542 Epoch 7/150 76/76 [==============================] - 0s 709us/step - loss: 0.6388 Epoch 8/150 76/76 [==============================] - 0s 748us/step - loss: 0.6295 0s - loss: 0.628 Epoch 9/150 76/76 [==============================] - 0s 761us/step - loss: 0.6242 Epoch 10/150 76/76 [==============================] - 0s 774us/step - loss: 0.6197 Epoch 11/150 76/76 [==============================] - 0s 800us/step - loss: 0.6151 Epoch 12/150 76/76 [==============================] - 0s 800us/step - loss: 0.6108 Epoch 13/150 76/76 [==============================] - 0s 905us/step - loss: 0.6088 Epoch 14/150 76/76 [==============================] - 0s 761us/step - loss: 0.6057 Epoch 15/150 76/76 [==============================] - 0s 722us/step - loss: 0.6025 Epoch 16/150 76/76 [==============================] - 0s 709us/step - loss: 0.6008 Epoch 17/150 76/76 [==============================] - 0s 800us/step - loss: 0.5973 Epoch 18/150 76/76 [==============================] - 0s 801us/step - loss: 0.5958 Epoch 19/150 76/76 [==============================] - 0s 801us/step - loss: 0.5933 Epoch 20/150 76/76 [==============================] - 0s 761us/step - loss: 0.5916 Epoch 21/150 76/76 [==============================] - 0s 787us/step - loss: 0.5891 Epoch 22/150 76/76 [==============================] - 0s 827us/step - loss: 0.5870 Epoch 23/150 76/76 [==============================] - 0s 814us/step - loss: 0.5867 Epoch 24/150 76/76 [==============================] - 0s 709us/step - loss: 0.5848 Epoch 25/150 76/76 [==============================] - 0s 761us/step - loss: 0.5825 Epoch 26/150 76/76 [==============================] - 0s 722us/step - loss: 0.5816 Epoch 27/150 76/76 [==============================] - 0s 709us/step - loss: 0.5804 Epoch 28/150 76/76 [==============================] - 0s 748us/step - loss: 0.5799 Epoch 29/150 76/76 [==============================] - 0s 787us/step - loss: 0.5792 Epoch 30/150 76/76 [==============================] - 0s 761us/step - loss: 0.5766 Epoch 31/150 76/76 [==============================] - 0s 709us/step - loss: 0.5771 Epoch 32/150 76/76 [==============================] - 0s 682us/step - loss: 0.5752 Epoch 33/150 76/76 [==============================] - 0s 774us/step - loss: 0.5749 Epoch 34/150 76/76 [==============================] - 0s 722us/step - loss: 0.5744 Epoch 35/150 76/76 [==============================] - 0s 748us/step - loss: 0.5733 Epoch 36/150 76/76 [==============================] - 0s 735us/step - loss: 0.5724 Epoch 37/150 76/76 [==============================] - 0s 787us/step - loss: 0.5707 Epoch 38/150 76/76 [==============================] - 0s 787us/step - loss: 0.5696 Epoch 39/150 76/76 [==============================] - 0s 761us/step - loss: 0.5688 Epoch 40/150 76/76 [==============================] - 0s 761us/step - loss: 0.5676 Epoch 41/150 76/76 [==============================] - 0s 748us/step - loss: 0.5676 Epoch 42/150 76/76 [==============================] - 0s 800us/step - loss: 0.5676 Epoch 43/150 76/76 [==============================] - 0s 774us/step - loss: 0.5650 Epoch 44/150 76/76 [==============================] - 0s 787us/step - loss: 0.5663 Epoch 45/150 76/76 [==============================] - 0s 722us/step - loss: 0.5647 Epoch 46/150 76/76 [==============================] - 0s 735us/step - loss: 0.5636 Epoch 47/150 76/76 [==============================] - 0s 722us/step - loss: 0.5628 Epoch 48/150 76/76 [==============================] - 0s 722us/step - loss: 0.5624 Epoch 49/150 76/76 [==============================] - 0s 748us/step - loss: 0.5621 Epoch 50/150 76/76 [==============================] - 0s 761us/step - loss: 0.5596 Epoch 51/150 76/76 [==============================] - 0s 748us/step - loss: 0.5618 Epoch 52/150 76/76 [==============================] - 0s 722us/step - loss: 0.5592 Epoch 53/150 76/76 [==============================] - 0s 748us/step - loss: 0.5593 Epoch 54/150 76/76 [==============================] - 0s 748us/step - loss: 0.5599 Epoch 55/150 76/76 [==============================] - 0s 761us/step - loss: 0.5580 Epoch 56/150 76/76 [==============================] - 0s 774us/step - loss: 0.5583 Epoch 57/150 76/76 [==============================] - 0s 761us/step - loss: 0.5575 Epoch 58/150 76/76 [==============================] - 0s 774us/step - loss: 0.5564 Epoch 59/150 76/76 [==============================] - 0s 735us/step - loss: 0.5559 Epoch 60/150 76/76 [==============================] - 0s 787us/step - loss: 0.5563 Epoch 61/150 76/76 [==============================] - 0s 735us/step - loss: 0.5557 Epoch 62/150 76/76 [==============================] - 0s 748us/step - loss: 0.5556 Epoch 63/150 76/76 [==============================] - 0s 735us/step - loss: 0.5539 Epoch 64/150 76/76 [==============================] - 0s 748us/step - loss: 0.5541 Epoch 65/150 76/76 [==============================] - 0s 774us/step - loss: 0.5529 Epoch 66/150 76/76 [==============================] - 0s 748us/step - loss: 0.5541 Epoch 67/150 76/76 [==============================] - 0s 761us/step - loss: 0.5530 Epoch 68/150 76/76 [==============================] - 0s 774us/step - loss: 0.5525 Epoch 69/150 76/76 [==============================] - 0s 709us/step - loss: 0.5519 Epoch 70/150 76/76 [==============================] - 0s 735us/step - loss: 0.5525 Epoch 71/150 76/76 [==============================] - 0s 735us/step - loss: 0.5504 Epoch 72/150 76/76 [==============================] - 0s 761us/step - loss: 0.5513 Epoch 73/150 76/76 [==============================] - 0s 827us/step - loss: 0.5514 Epoch 74/150 76/76 [==============================] - 0s 761us/step - loss: 0.5505 Epoch 75/150 76/76 [==============================] - 0s 774us/step - loss: 0.5507 Epoch 76/150 76/76 [==============================] - 0s 787us/step - loss: 0.5510 Epoch 77/150 76/76 [==============================] - 0s 748us/step - loss: 0.5485 Epoch 78/150 76/76 [==============================] - 0s 761us/step - loss: 0.5500 Epoch 79/150 76/76 [==============================] - 0s 722us/step - loss: 0.5488 Epoch 80/150 76/76 [==============================] - 0s 787us/step - loss: 0.5497 Epoch 81/150 76/76 [==============================] - 0s 787us/step - loss: 0.5486 Epoch 82/150 76/76 [==============================] - 0s 800us/step - loss: 0.5486 Epoch 83/150 76/76 [==============================] - 0s 801us/step - loss: 0.5487 Epoch 84/150 76/76 [==============================] - 0s 814us/step - loss: 0.5468 Epoch 85/150 76/76 [==============================] - 0s 735us/step - loss: 0.5476 Epoch 86/150 76/76 [==============================] - 0s 800us/step - loss: 0.5429 Epoch 87/150 76/76 [==============================] - 0s 788us/step - loss: 0.5471 Epoch 88/150 76/76 [==============================] - 0s 787us/step - loss: 0.5471 Epoch 89/150 76/76 [==============================] - 0s 800us/step - loss: 0.5456 Epoch 90/150 76/76 [==============================] - 0s 774us/step - loss: 0.5459 Epoch 91/150 76/76 [==============================] - 0s 748us/step - loss: 0.5459 Epoch 92/150 76/76 [==============================] - 0s 748us/step - loss: 0.5454 Epoch 93/150 76/76 [==============================] - 0s 748us/step - loss: 0.5445 Epoch 94/150 76/76 [==============================] - 0s 774us/step - loss: 0.5444 Epoch 95/150 76/76 [==============================] - 0s 800us/step - loss: 0.5432 Epoch 96/150 76/76 [==============================] - 0s 814us/step - loss: 0.5439 Epoch 97/150 76/76 [==============================] - 0s 774us/step - loss: 0.5453 Epoch 98/150 76/76 [==============================] - 0s 761us/step - loss: 0.5400 Epoch 99/150 76/76 [==============================] - 0s 787us/step - loss: 0.5437 Epoch 100/150 76/76 [==============================] - 0s 866us/step - loss: 0.5443 Epoch 101/150 76/76 [==============================] - 0s 761us/step - loss: 0.5426 Epoch 102/150 76/76 [==============================] - 0s 774us/step - loss: 0.5437 Epoch 103/150 76/76 [==============================] - 0s 787us/step - loss: 0.5425 Epoch 104/150 76/76 [==============================] - 0s 827us/step - loss: 0.5433 Epoch 105/150 76/76 [==============================] - 0s 709us/step - loss: 0.5409 Epoch 106/150 76/76 [==============================] - 0s 814us/step - loss: 0.5419 Epoch 107/150 76/76 [==============================] - 0s 787us/step - loss: 0.5408 Epoch 108/150 76/76 [==============================] - 0s 722us/step - loss: 0.5415 Epoch 109/150 76/76 [==============================] - 0s 748us/step - loss: 0.5408 Epoch 110/150 76/76 [==============================] - 0s 787us/step - loss: 0.5409 Epoch 111/150 76/76 [==============================] - 0s 748us/step - loss: 0.5401 Epoch 112/150 76/76 [==============================] - 0s 735us/step - loss: 0.5387 Epoch 113/150 76/76 [==============================] - 0s 800us/step - loss: 0.5376 Epoch 114/150 76/76 [==============================] - 0s 787us/step - loss: 0.5390 Epoch 115/150 76/76 [==============================] - 0s 761us/step - loss: 0.5389 Epoch 116/150 76/76 [==============================] - 0s 774us/step - loss: 0.5377 Epoch 117/150 76/76 [==============================] - 0s 827us/step - loss: 0.5388 Epoch 118/150 76/76 [==============================] - 0s 787us/step - loss: 0.5355 Epoch 119/150 76/76 [==============================] - 0s 801us/step - loss: 0.5361 Epoch 120/150 76/76 [==============================] - 0s 814us/step - loss: 0.5368 Epoch 121/150 76/76 [==============================] - 0s 787us/step - loss: 0.5363 Epoch 122/150 76/76 [==============================] - 0s 761us/step - loss: 0.5351 Epoch 123/150 76/76 [==============================] - 0s 735us/step - loss: 0.5357 Epoch 124/150 76/76 [==============================] - 0s 774us/step - loss: 0.5357 Epoch 125/150 76/76 [==============================] - 0s 1ms/step - loss: 0.5346 Epoch 126/150 76/76 [==============================] - 0s 800us/step - loss: 0.5347 Epoch 127/150 76/76 [==============================] - 0s 801us/step - loss: 0.5343 Epoch 128/150 76/76 [==============================] - 0s 879us/step - loss: 0.5349 Epoch 129/150 76/76 [==============================] - 0s 787us/step - loss: 0.5329 Epoch 130/150 76/76 [==============================] - 0s 761us/step - loss: 0.5342 Epoch 131/150 76/76 [==============================] - 0s 761us/step - loss: 0.5313 Epoch 132/150 76/76 [==============================] - 0s 800us/step - loss: 0.5340 Epoch 133/150 76/76 [==============================] - 0s 761us/step - loss: 0.5323 Epoch 134/150 76/76 [==============================] - 0s 814us/step - loss: 0.5305 Epoch 135/150 76/76 [==============================] - 0s 787us/step - loss: 0.5318 Epoch 136/150 76/76 [==============================] - 0s 774us/step - loss: 0.5306 Epoch 137/150 76/76 [==============================] - 0s 787us/step - loss: 0.5311 Epoch 138/150 76/76 [==============================] - 0s 774us/step - loss: 0.5313 Epoch 139/150 76/76 [==============================] - 0s 748us/step - loss: 0.5322 Epoch 140/150 76/76 [==============================] - 0s 735us/step - loss: 0.5305 Epoch 141/150 76/76 [==============================] - 0s 735us/step - loss: 0.5293 Epoch 142/150 76/76 [==============================] - 0s 748us/step - loss: 0.5289 Epoch 143/150 76/76 [==============================] - 0s 761us/step - loss: 0.5293 Epoch 144/150 76/76 [==============================] - 0s 800us/step - loss: 0.5271 Epoch 145/150 76/76 [==============================] - 0s 735us/step - loss: 0.5285 Epoch 146/150 76/76 [==============================] - 0s 787us/step - loss: 0.5288 Epoch 147/150 76/76 [==============================] - 0s 774us/step - loss: 0.5290 Epoch 148/150 76/76 [==============================] - 0s 774us/step - loss: 0.5292 Epoch 149/150 76/76 [==============================] - 0s 748us/step - loss: 0.5285 Epoch 150/150 76/76 [==============================] - 0s 774us/step - loss: 0.5287 ###################################################################### Accuracy: 72.15502352052044 Epoch 1/150 77/77 [==============================] - 0s 1ms/step - loss: 0.9813 Epoch 2/150 77/77 [==============================] - 0s 829us/step - loss: 0.9319 Epoch 3/150 77/77 [==============================] - 0s 803us/step - loss: 0.8232 Epoch 4/150 77/77 [==============================] - 0s 777us/step - loss: 0.7266 Epoch 5/150 77/77 [==============================] - 0s 816us/step - loss: 0.6775 Epoch 6/150 77/77 [==============================] - 0s 751us/step - loss: 0.6562 Epoch 7/150 77/77 [==============================] - 0s 816us/step - loss: 0.6469 Epoch 8/150 77/77 [==============================] - 0s 842us/step - loss: 0.6412 Epoch 9/150 77/77 [==============================] - 0s 777us/step - loss: 0.6370 Epoch 10/150 77/77 [==============================] - 0s 790us/step - loss: 0.6344 Epoch 11/150 77/77 [==============================] - 0s 816us/step - loss: 0.6309 Epoch 12/150 77/77 [==============================] - 0s 816us/step - loss: 0.6275 Epoch 13/150 77/77 [==============================] - 0s 829us/step - loss: 0.6262 Epoch 14/150 77/77 [==============================] - 0s 829us/step - loss: 0.6237 Epoch 15/150 77/77 [==============================] - 0s 829us/step - loss: 0.6199 Epoch 16/150 77/77 [==============================] - 0s 777us/step - loss: 0.6180 Epoch 17/150 77/77 [==============================] - 0s 777us/step - loss: 0.6147 Epoch 18/150 77/77 [==============================] - 0s 751us/step - loss: 0.6111 Epoch 19/150 77/77 [==============================] - 0s 790us/step - loss: 0.6084 Epoch 20/150 77/77 [==============================] - 0s 816us/step - loss: 0.6060 Epoch 21/150 77/77 [==============================] - 0s 816us/step - loss: 0.6040 Epoch 22/150 77/77 [==============================] - 0s 790us/step - loss: 0.6014 Epoch 23/150 77/77 [==============================] - 0s 829us/step - loss: 0.5993 Epoch 24/150 77/77 [==============================] - 0s 803us/step - loss: 0.5962 Epoch 25/150 77/77 [==============================] - 0s 803us/step - loss: 0.5943 Epoch 26/150 77/77 [==============================] - 0s 816us/step - loss: 0.5927 Epoch 27/150 77/77 [==============================] - 0s 777us/step - loss: 0.5899 Epoch 28/150 77/77 [==============================] - 0s 829us/step - loss: 0.5892 Epoch 29/150 77/77 [==============================] - 0s 829us/step - loss: 0.5863 Epoch 30/150 77/77 [==============================] - 0s 803us/step - loss: 0.5868 Epoch 31/150 77/77 [==============================] - 0s 764us/step - loss: 0.5846 Epoch 32/150 77/77 [==============================] - 0s 803us/step - loss: 0.5836 Epoch 33/150 77/77 [==============================] - 0s 816us/step - loss: 0.5820 Epoch 34/150 77/77 [==============================] - 0s 816us/step - loss: 0.5808 Epoch 35/150 77/77 [==============================] - 0s 764us/step - loss: 0.5780 Epoch 36/150 77/77 [==============================] - 0s 816us/step - loss: 0.5792 Epoch 37/150 77/77 [==============================] - 0s 829us/step - loss: 0.5768 Epoch 38/150 77/77 [==============================] - 0s 842us/step - loss: 0.5761 Epoch 39/150 77/77 [==============================] - 0s 790us/step - loss: 0.5744 Epoch 40/150 77/77 [==============================] - 0s 751us/step - loss: 0.5732 Epoch 41/150 77/77 [==============================] - 0s 816us/step - loss: 0.5724 Epoch 42/150 77/77 [==============================] - 0s 803us/step - loss: 0.5707 Epoch 43/150 77/77 [==============================] - 0s 829us/step - loss: 0.5705 Epoch 44/150 77/77 [==============================] - 0s 777us/step - loss: 0.5692 Epoch 45/150 77/77 [==============================] - 0s 829us/step - loss: 0.5680 Epoch 46/150 77/77 [==============================] - 0s 829us/step - loss: 0.5676 Epoch 47/150 77/77 [==============================] - 0s 855us/step - loss: 0.5655 Epoch 48/150 77/77 [==============================] - 0s 790us/step - loss: 0.5664 Epoch 49/150 77/77 [==============================] - 0s 803us/step - loss: 0.5658 Epoch 50/150 77/77 [==============================] - 0s 829us/step - loss: 0.5643 Epoch 51/150 77/77 [==============================] - 0s 816us/step - loss: 0.5636 Epoch 52/150 77/77 [==============================] - 0s 816us/step - loss: 0.5639 Epoch 53/150 77/77 [==============================] - 0s 777us/step - loss: 0.5618 Epoch 54/150 77/77 [==============================] - 0s 764us/step - loss: 0.5610 Epoch 55/150 77/77 [==============================] - 0s 816us/step - loss: 0.5617 Epoch 56/150 77/77 [==============================] - 0s 829us/step - loss: 0.5610 Epoch 57/150 77/77 [==============================] - 0s 855us/step - loss: 0.5582 Epoch 58/150 77/77 [==============================] - 0s 803us/step - loss: 0.5596 Epoch 59/150 77/77 [==============================] - 0s 751us/step - loss: 0.5594 Epoch 60/150 77/77 [==============================] - 0s 816us/step - loss: 0.5577 Epoch 61/150 77/77 [==============================] - 0s 829us/step - loss: 0.5579 Epoch 62/150 77/77 [==============================] - 0s 920us/step - loss: 0.5575 Epoch 63/150 77/77 [==============================] - 0s 803us/step - loss: 0.5555 Epoch 64/150 77/77 [==============================] - 0s 842us/step - loss: 0.5560 Epoch 65/150 77/77 [==============================] - 0s 803us/step - loss: 0.5556 Epoch 66/150 77/77 [==============================] - 0s 751us/step - loss: 0.5557 Epoch 67/150 77/77 [==============================] - 0s 816us/step - loss: 0.5545 Epoch 68/150 77/77 [==============================] - 0s 790us/step - loss: 0.5535 Epoch 69/150 77/77 [==============================] - 0s 803us/step - loss: 0.5535 Epoch 70/150 77/77 [==============================] - 0s 855us/step - loss: 0.5545 Epoch 71/150 77/77 [==============================] - 0s 816us/step - loss: 0.5517 Epoch 72/150 77/77 [==============================] - 0s 855us/step - loss: 0.5513 Epoch 73/150 77/77 [==============================] - 0s 855us/step - loss: 0.5502 Epoch 74/150 77/77 [==============================] - 0s 790us/step - loss: 0.5518 Epoch 75/150 77/77 [==============================] - 0s 816us/step - loss: 0.5508 Epoch 76/150 77/77 [==============================] - 0s 816us/step - loss: 0.5507 Epoch 77/150 77/77 [==============================] - 0s 842us/step - loss: 0.5505 Epoch 78/150 77/77 [==============================] - 0s 842us/step - loss: 0.5501 Epoch 79/150 77/77 [==============================] - 0s 803us/step - loss: 0.5502 Epoch 80/150 77/77 [==============================] - 0s 790us/step - loss: 0.5480 Epoch 81/150 77/77 [==============================] - 0s 777us/step - loss: 0.5471 Epoch 82/150 77/77 [==============================] - 0s 777us/step - loss: 0.5491 Epoch 83/150 77/77 [==============================] - 0s 777us/step - loss: 0.5478 Epoch 84/150 77/77 [==============================] - 0s 751us/step - loss: 0.5461 Epoch 85/150 77/77 [==============================] - 0s 764us/step - loss: 0.5462 Epoch 86/150 77/77 [==============================] - 0s 751us/step - loss: 0.5457 Epoch 87/150 77/77 [==============================] - 0s 790us/step - loss: 0.5448 Epoch 88/150 77/77 [==============================] - 0s 777us/step - loss: 0.5449 Epoch 89/150 77/77 [==============================] - 0s 764us/step - loss: 0.5435 Epoch 90/150 77/77 [==============================] - 0s 751us/step - loss: 0.5424 Epoch 91/150 77/77 [==============================] - 0s 777us/step - loss: 0.5432 Epoch 92/150 77/77 [==============================] - 0s 816us/step - loss: 0.5420 Epoch 93/150 77/77 [==============================] - 0s 764us/step - loss: 0.5406 Epoch 94/150 77/77 [==============================] - 0s 764us/step - loss: 0.5422 Epoch 95/150 77/77 [==============================] - ETA: 0s - loss: 0.536 - 0s 777us/step - loss: 0.5398 Epoch 96/150 77/77 [==============================] - 0s 790us/step - loss: 0.5409 Epoch 97/150 77/77 [==============================] - 0s 803us/step - loss: 0.5396 Epoch 98/150 77/77 [==============================] - 0s 829us/step - loss: 0.5409 Epoch 99/150 77/77 [==============================] - 0s 803us/step - loss: 0.5389 Epoch 100/150 77/77 [==============================] - 0s 829us/step - loss: 0.5395 Epoch 101/150 77/77 [==============================] - 0s 829us/step - loss: 0.5389 Epoch 102/150 77/77 [==============================] - 0s 816us/step - loss: 0.5381 Epoch 103/150 77/77 [==============================] - 0s 829us/step - loss: 0.5381 Epoch 104/150 77/77 [==============================] - 0s 816us/step - loss: 0.5377 Epoch 105/150 77/77 [==============================] - 0s 829us/step - loss: 0.5368 Epoch 106/150 77/77 [==============================] - 0s 790us/step - loss: 0.5364 Epoch 107/150 77/77 [==============================] - 0s 855us/step - loss: 0.5371 Epoch 108/150 77/77 [==============================] - 0s 907us/step - loss: 0.5371 Epoch 109/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5361 Epoch 110/150 77/77 [==============================] - 0s 971us/step - loss: 0.5356 Epoch 111/150 77/77 [==============================] - 0s 674us/step - loss: 0.5311 Epoch 112/150 77/77 [==============================] - 0s 609us/step - loss: 0.5355 Epoch 113/150 77/77 [==============================] - 0s 699us/step - loss: 0.5347 Epoch 114/150 77/77 [==============================] - 0s 751us/step - loss: 0.5352 Epoch 115/150 77/77 [==============================] - 0s 674us/step - loss: 0.5335 Epoch 116/150 77/77 [==============================] - 0s 534us/step - loss: 0.5325 Epoch 117/150 77/77 [==============================] - 0s 812us/step - loss: 0.5340 Epoch 118/150 77/77 [==============================] - 0s 609us/step - loss: 0.5323 Epoch 119/150 77/77 [==============================] - 0s 811us/step - loss: 0.5311 Epoch 120/150 77/77 [==============================] - 0s 609us/step - loss: 0.5314 Epoch 121/150 77/77 [==============================] - 0s 811us/step - loss: 0.5301 Epoch 122/150 77/77 [==============================] - 0s 548us/step - loss: 0.5308 Epoch 123/150 77/77 [==============================] - 0s 609us/step - loss: 0.5299 Epoch 124/150 77/77 [==============================] - 0s 609us/step - loss: 0.5300 Epoch 125/150 77/77 [==============================] - 0s 609us/step - loss: 0.5302 Epoch 126/150 77/77 [==============================] - 0s 609us/step - loss: 0.5286 Epoch 127/150 77/77 [==============================] - 0s 812us/step - loss: 0.5292 Epoch 128/150 77/77 [==============================] - 0s 609us/step - loss: 0.5278 Epoch 129/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5283 Epoch 130/150 77/77 [==============================] - 0s 946us/step - loss: 0.5276 Epoch 131/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5273 Epoch 132/150 77/77 [==============================] - 0s 933us/step - loss: 0.5262 Epoch 133/150 77/77 [==============================] - 0s 868us/step - loss: 0.5273 Epoch 134/150 77/77 [==============================] - 0s 803us/step - loss: 0.5256 Epoch 135/150 77/77 [==============================] - 0s 920us/step - loss: 0.5249 Epoch 136/150 77/77 [==============================] - 0s 868us/step - loss: 0.5261 Epoch 137/150 77/77 [==============================] - 0s 894us/step - loss: 0.5247 Epoch 138/150 77/77 [==============================] - 0s 842us/step - loss: 0.5225 Epoch 139/150 77/77 [==============================] - 0s 790us/step - loss: 0.5249 Epoch 140/150 77/77 [==============================] - 0s 842us/step - loss: 0.5217 Epoch 141/150 77/77 [==============================] - 0s 868us/step - loss: 0.5232 Epoch 142/150 77/77 [==============================] - 0s 816us/step - loss: 0.5232 Epoch 143/150 77/77 [==============================] - 0s 829us/step - loss: 0.5214 Epoch 144/150 77/77 [==============================] - 0s 842us/step - loss: 0.5211 Epoch 145/150 77/77 [==============================] - 0s 829us/step - loss: 0.5215 Epoch 146/150 77/77 [==============================] - 0s 816us/step - loss: 0.5223 Epoch 147/150 77/77 [==============================] - 0s 790us/step - loss: 0.5187 Epoch 148/150 77/77 [==============================] - 0s 790us/step - loss: 0.5204 Epoch 149/150 77/77 [==============================] - 0s 829us/step - loss: 0.5200 Epoch 150/150 77/77 [==============================] - 0s 829us/step - loss: 0.5181 ###################################################################### Accuracy: 73.31170212742795 Epoch 1/150 77/77 [==============================] - 0s 868us/step - loss: 0.9666 Epoch 2/150 77/77 [==============================] - 0s 816us/step - loss: 0.9086 Epoch 3/150 77/77 [==============================] - 0s 790us/step - loss: 0.8189 Epoch 4/150 77/77 [==============================] - 0s 829us/step - loss: 0.7437 Epoch 5/150 77/77 [==============================] - 0s 764us/step - loss: 0.6938 Epoch 6/150 77/77 [==============================] - 0s 816us/step - loss: 0.6530 Epoch 7/150 77/77 [==============================] - 0s 790us/step - loss: 0.6306 Epoch 8/150 77/77 [==============================] - 0s 738us/step - loss: 0.6171 Epoch 9/150 77/77 [==============================] - 0s 790us/step - loss: 0.6102 Epoch 10/150 77/77 [==============================] - 0s 790us/step - loss: 0.6038 Epoch 11/150 77/77 [==============================] - 0s 803us/step - loss: 0.6000 Epoch 12/150 77/77 [==============================] - 0s 790us/step - loss: 0.5958 Epoch 13/150 77/77 [==============================] - 0s 777us/step - loss: 0.5917 Epoch 14/150 77/77 [==============================] - 0s 764us/step - loss: 0.5902 Epoch 15/150 77/77 [==============================] - 0s 803us/step - loss: 0.5856 Epoch 16/150 77/77 [==============================] - 0s 751us/step - loss: 0.5836 Epoch 17/150 77/77 [==============================] - 0s 829us/step - loss: 0.5819 Epoch 18/150 77/77 [==============================] - 0s 751us/step - loss: 0.5793 Epoch 19/150 77/77 [==============================] - 0s 816us/step - loss: 0.5781 Epoch 20/150 77/77 [==============================] - 0s 777us/step - loss: 0.5756 Epoch 21/150 77/77 [==============================] - 0s 803us/step - loss: 0.5743 Epoch 22/150 77/77 [==============================] - 0s 803us/step - loss: 0.5730 Epoch 23/150 77/77 [==============================] - 0s 790us/step - loss: 0.5711 Epoch 24/150 77/77 [==============================] - 0s 751us/step - loss: 0.5696 Epoch 25/150 77/77 [==============================] - 0s 764us/step - loss: 0.5676 Epoch 26/150 77/77 [==============================] - 0s 764us/step - loss: 0.5660 Epoch 27/150 77/77 [==============================] - 0s 751us/step - loss: 0.5644 Epoch 28/150 77/77 [==============================] - 0s 777us/step - loss: 0.5650 Epoch 29/150 77/77 [==============================] - 0s 751us/step - loss: 0.5620 Epoch 30/150 77/77 [==============================] - 0s 764us/step - loss: 0.5623 Epoch 31/150 77/77 [==============================] - 0s 764us/step - loss: 0.5616 Epoch 32/150 77/77 [==============================] - 0s 777us/step - loss: 0.5599 Epoch 33/150 77/77 [==============================] - 0s 803us/step - loss: 0.5597 Epoch 34/150 77/77 [==============================] - 0s 803us/step - loss: 0.5596 Epoch 35/150 77/77 [==============================] - 0s 777us/step - loss: 0.5584 Epoch 36/150 77/77 [==============================] - 0s 764us/step - loss: 0.5578 Epoch 37/150 77/77 [==============================] - 0s 738us/step - loss: 0.5579 Epoch 38/150 77/77 [==============================] - 0s 803us/step - loss: 0.5560 Epoch 39/150 77/77 [==============================] - 0s 790us/step - loss: 0.5571 Epoch 40/150 77/77 [==============================] - 0s 764us/step - loss: 0.5552 Epoch 41/150 77/77 [==============================] - 0s 751us/step - loss: 0.5544 Epoch 42/150 77/77 [==============================] - 0s 777us/step - loss: 0.5543 Epoch 43/150 77/77 [==============================] - 0s 816us/step - loss: 0.5545 Epoch 44/150 77/77 [==============================] - 0s 803us/step - loss: 0.5529 Epoch 45/150 77/77 [==============================] - 0s 764us/step - loss: 0.5530 Epoch 46/150 77/77 [==============================] - 0s 790us/step - loss: 0.5517 Epoch 47/150 77/77 [==============================] - 0s 790us/step - loss: 0.5531 Epoch 48/150 77/77 [==============================] - 0s 790us/step - loss: 0.5522 Epoch 49/150 77/77 [==============================] - 0s 777us/step - loss: 0.5501 Epoch 50/150 77/77 [==============================] - 0s 803us/step - loss: 0.5513 Epoch 51/150 77/77 [==============================] - 0s 803us/step - loss: 0.5500 Epoch 52/150 77/77 [==============================] - 0s 777us/step - loss: 0.5485 Epoch 53/150 77/77 [==============================] - 0s 790us/step - loss: 0.5504 Epoch 54/150 77/77 [==============================] - 0s 803us/step - loss: 0.5483 Epoch 55/150 77/77 [==============================] - 0s 777us/step - loss: 0.5485 Epoch 56/150 77/77 [==============================] - 0s 829us/step - loss: 0.5482 Epoch 57/150 77/77 [==============================] - 0s 803us/step - loss: 0.5471 Epoch 58/150 77/77 [==============================] - 0s 777us/step - loss: 0.5474 Epoch 59/150 77/77 [==============================] - 0s 790us/step - loss: 0.5461 Epoch 60/150 77/77 [==============================] - 0s 803us/step - loss: 0.5435 Epoch 61/150 77/77 [==============================] - 0s 751us/step - loss: 0.5454 Epoch 62/150 77/77 [==============================] - 0s 790us/step - loss: 0.5440 Epoch 63/150 77/77 [==============================] - 0s 790us/step - loss: 0.5439 Epoch 64/150 77/77 [==============================] - 0s 816us/step - loss: 0.5444 Epoch 65/150 77/77 [==============================] - 0s 829us/step - loss: 0.5441 Epoch 66/150 77/77 [==============================] - 0s 777us/step - loss: 0.5438 Epoch 67/150 77/77 [==============================] - 0s 790us/step - loss: 0.5426 Epoch 68/150 77/77 [==============================] - 0s 790us/step - loss: 0.5429 Epoch 69/150 77/77 [==============================] - 0s 790us/step - loss: 0.5417 Epoch 70/150 77/77 [==============================] - 0s 790us/step - loss: 0.5411 Epoch 71/150 77/77 [==============================] - 0s 790us/step - loss: 0.5419 Epoch 72/150 77/77 [==============================] - 0s 764us/step - loss: 0.5426 Epoch 73/150 77/77 [==============================] - 0s 777us/step - loss: 0.5400 Epoch 74/150 77/77 [==============================] - 0s 790us/step - loss: 0.5415 Epoch 75/150 77/77 [==============================] - 0s 790us/step - loss: 0.5369 Epoch 76/150 77/77 [==============================] - 0s 816us/step - loss: 0.5396 Epoch 77/150 77/77 [==============================] - 0s 790us/step - loss: 0.5389 Epoch 78/150 77/77 [==============================] - 0s 803us/step - loss: 0.5391 Epoch 79/150 77/77 [==============================] - 0s 842us/step - loss: 0.5392 Epoch 80/150 77/77 [==============================] - 0s 803us/step - loss: 0.5389 Epoch 81/150 77/77 [==============================] - 0s 803us/step - loss: 0.5363 Epoch 82/150 77/77 [==============================] - 0s 790us/step - loss: 0.5379 Epoch 83/150 77/77 [==============================] - 0s 738us/step - loss: 0.5378 Epoch 84/150 77/77 [==============================] - 0s 816us/step - loss: 0.5368 Epoch 85/150 77/77 [==============================] - 0s 842us/step - loss: 0.5372 Epoch 86/150 77/77 [==============================] - 0s 790us/step - loss: 0.5369 Epoch 87/150 77/77 [==============================] - 0s 803us/step - loss: 0.5356 Epoch 88/150 77/77 [==============================] - 0s 816us/step - loss: 0.5359 Epoch 89/150 77/77 [==============================] - 0s 790us/step - loss: 0.5354 Epoch 90/150 77/77 [==============================] - 0s 816us/step - loss: 0.5343 Epoch 91/150 77/77 [==============================] - 0s 790us/step - loss: 0.5338 Epoch 92/150 77/77 [==============================] - 0s 790us/step - loss: 0.5344 Epoch 93/150 77/77 [==============================] - 0s 803us/step - loss: 0.5328 Epoch 94/150 77/77 [==============================] - 0s 816us/step - loss: 0.5340 Epoch 95/150 77/77 [==============================] - 0s 751us/step - loss: 0.5339 Epoch 96/150 77/77 [==============================] - 0s 803us/step - loss: 0.5330 Epoch 97/150 77/77 [==============================] - 0s 842us/step - loss: 0.5300 Epoch 98/150 77/77 [==============================] - 0s 790us/step - loss: 0.5322 Epoch 99/150 77/77 [==============================] - 0s 751us/step - loss: 0.5326 Epoch 100/150 77/77 [==============================] - 0s 803us/step - loss: 0.5314 Epoch 101/150 77/77 [==============================] - 0s 829us/step - loss: 0.5298 Epoch 102/150 77/77 [==============================] - 0s 816us/step - loss: 0.5306 Epoch 103/150 77/77 [==============================] - 0s 790us/step - loss: 0.5294 Epoch 104/150 77/77 [==============================] - 0s 777us/step - loss: 0.5304 Epoch 105/150 77/77 [==============================] - 0s 803us/step - loss: 0.5293 Epoch 106/150 77/77 [==============================] - 0s 829us/step - loss: 0.5293 Epoch 107/150 77/77 [==============================] - 0s 816us/step - loss: 0.5280 Epoch 108/150 77/77 [==============================] - 0s 777us/step - loss: 0.5260 Epoch 109/150 77/77 [==============================] - 0s 751us/step - loss: 0.5270 Epoch 110/150 77/77 [==============================] - 0s 764us/step - loss: 0.5258 Epoch 111/150 77/77 [==============================] - 0s 777us/step - loss: 0.5259 Epoch 112/150 77/77 [==============================] - 0s 777us/step - loss: 0.5245 Epoch 113/150 77/77 [==============================] - 0s 790us/step - loss: 0.5267 Epoch 114/150 77/77 [==============================] - 0s 764us/step - loss: 0.5242 Epoch 115/150 77/77 [==============================] - 0s 816us/step - loss: 0.5234 Epoch 116/150 77/77 [==============================] - 0s 764us/step - loss: 0.5230 Epoch 117/150 77/77 [==============================] - 0s 803us/step - loss: 0.5229 Epoch 118/150 77/77 [==============================] - 0s 764us/step - loss: 0.5227 Epoch 119/150 77/77 [==============================] - 0s 790us/step - loss: 0.5224 Epoch 120/150 77/77 [==============================] - 0s 816us/step - loss: 0.5236 Epoch 121/150 77/77 [==============================] - 0s 790us/step - loss: 0.5219 Epoch 122/150 77/77 [==============================] - 0s 790us/step - loss: 0.5192 Epoch 123/150 77/77 [==============================] - 0s 764us/step - loss: 0.5232 Epoch 124/150 77/77 [==============================] - 0s 790us/step - loss: 0.5213 Epoch 125/150 77/77 [==============================] - 0s 803us/step - loss: 0.5208 Epoch 126/150 77/77 [==============================] - 0s 751us/step - loss: 0.5202 Epoch 127/150 77/77 [==============================] - 0s 803us/step - loss: 0.5201 Epoch 128/150 77/77 [==============================] - 0s 777us/step - loss: 0.5166 Epoch 129/150 77/77 [==============================] - 0s 751us/step - loss: 0.5179 Epoch 130/150 77/77 [==============================] - 0s 803us/step - loss: 0.5191 Epoch 131/150 77/77 [==============================] - 0s 764us/step - loss: 0.5190 Epoch 132/150 77/77 [==============================] - 0s 751us/step - loss: 0.5183 Epoch 133/150 77/77 [==============================] - 0s 816us/step - loss: 0.5181 Epoch 134/150 77/77 [==============================] - 0s 764us/step - loss: 0.5157 Epoch 135/150 77/77 [==============================] - 0s 803us/step - loss: 0.5160 Epoch 136/150 77/77 [==============================] - 0s 816us/step - loss: 0.5171 Epoch 137/150 77/77 [==============================] - 0s 803us/step - loss: 0.5174 Epoch 138/150 77/77 [==============================] - 0s 816us/step - loss: 0.5150 Epoch 139/150 77/77 [==============================] - 0s 816us/step - loss: 0.5163 Epoch 140/150 77/77 [==============================] - 0s 777us/step - loss: 0.5140 Epoch 141/150 77/77 [==============================] - 0s 816us/step - loss: 0.5153 Epoch 142/150 77/77 [==============================] - 0s 764us/step - loss: 0.5155 Epoch 143/150 77/77 [==============================] - 0s 803us/step - loss: 0.5160 Epoch 144/150 77/77 [==============================] - 0s 777us/step - loss: 0.5132 Epoch 145/150 77/77 [==============================] - 0s 803us/step - loss: 0.5153 Epoch 146/150 77/77 [==============================] - 0s 803us/step - loss: 0.5145 Epoch 147/150 77/77 [==============================] - 0s 764us/step - loss: 0.5132 Epoch 148/150 77/77 [==============================] - 0s 777us/step - loss: 0.5134 Epoch 149/150 77/77 [==============================] - 0s 751us/step - loss: 0.5121 Epoch 150/150 77/77 [==============================] - 0s 816us/step - loss: 0.5125 ###################################################################### Accuracy: 85.8775684223451 Epoch 1/150 77/77 [==============================] - 0s 846us/step - loss: 1.0156 Epoch 2/150 77/77 [==============================] - 0s 842us/step - loss: 0.9842 Epoch 3/150 77/77 [==============================] - 0s 751us/step - loss: 0.9017 Epoch 4/150 77/77 [==============================] - 0s 829us/step - loss: 0.7929 Epoch 5/150 77/77 [==============================] - 0s 829us/step - loss: 0.7135 Epoch 6/150 77/77 [==============================] - 0s 842us/step - loss: 0.6751 Epoch 7/150 77/77 [==============================] - 0s 803us/step - loss: 0.6581 Epoch 8/150 77/77 [==============================] - 0s 816us/step - loss: 0.6495 Epoch 9/150 77/77 [==============================] - 0s 764us/step - loss: 0.6445 Epoch 10/150 77/77 [==============================] - 0s 764us/step - loss: 0.6425 Epoch 11/150 77/77 [==============================] - 0s 777us/step - loss: 0.6377 Epoch 12/150 77/77 [==============================] - 0s 777us/step - loss: 0.6346 Epoch 13/150 77/77 [==============================] - 0s 829us/step - loss: 0.6321 Epoch 14/150 77/77 [==============================] - 0s 803us/step - loss: 0.6310 Epoch 15/150 77/77 [==============================] - 0s 790us/step - loss: 0.6275 Epoch 16/150 77/77 [==============================] - 0s 777us/step - loss: 0.6252 Epoch 17/150 77/77 [==============================] - 0s 803us/step - loss: 0.6228 Epoch 18/150 77/77 [==============================] - 0s 790us/step - loss: 0.6207 Epoch 19/150 77/77 [==============================] - 0s 790us/step - loss: 0.6194 Epoch 20/150 77/77 [==============================] - 0s 777us/step - loss: 0.6179 Epoch 21/150 77/77 [==============================] - 0s 738us/step - loss: 0.6156 Epoch 22/150 77/77 [==============================] - 0s 764us/step - loss: 0.6121 Epoch 23/150 77/77 [==============================] - 0s 790us/step - loss: 0.6109 Epoch 24/150 77/77 [==============================] - 0s 790us/step - loss: 0.6085 Epoch 25/150 77/77 [==============================] - 0s 816us/step - loss: 0.6090 Epoch 26/150 77/77 [==============================] - 0s 803us/step - loss: 0.6076 Epoch 27/150 77/77 [==============================] - 0s 790us/step - loss: 0.6070 Epoch 28/150 77/77 [==============================] - 0s 816us/step - loss: 0.6060 Epoch 29/150 77/77 [==============================] - 0s 777us/step - loss: 0.6027 Epoch 30/150 77/77 [==============================] - 0s 803us/step - loss: 0.6030 Epoch 31/150 77/77 [==============================] - 0s 777us/step - loss: 0.6022 Epoch 32/150 77/77 [==============================] - 0s 790us/step - loss: 0.5997 Epoch 33/150 77/77 [==============================] - 0s 777us/step - loss: 0.5998 Epoch 34/150 77/77 [==============================] - 0s 803us/step - loss: 0.5981 Epoch 35/150 77/77 [==============================] - 0s 816us/step - loss: 0.5973 Epoch 36/150 77/77 [==============================] - 0s 790us/step - loss: 0.5963 Epoch 37/150 77/77 [==============================] - 0s 803us/step - loss: 0.5951 Epoch 38/150 77/77 [==============================] - 0s 816us/step - loss: 0.5950 Epoch 39/150 77/77 [==============================] - 0s 790us/step - loss: 0.5937 Epoch 40/150 77/77 [==============================] - 0s 764us/step - loss: 0.5935 Epoch 41/150 77/77 [==============================] - 0s 751us/step - loss: 0.5925 Epoch 42/150 77/77 [==============================] - 0s 803us/step - loss: 0.5919 Epoch 43/150 77/77 [==============================] - 0s 816us/step - loss: 0.5910 Epoch 44/150 77/77 [==============================] - 0s 738us/step - loss: 0.5907 Epoch 45/150 77/77 [==============================] - 0s 738us/step - loss: 0.5877 Epoch 46/150 77/77 [==============================] - 0s 790us/step - loss: 0.5892 Epoch 47/150 77/77 [==============================] - 0s 816us/step - loss: 0.5888 Epoch 48/150 77/77 [==============================] - 0s 790us/step - loss: 0.5877 Epoch 49/150 77/77 [==============================] - 0s 790us/step - loss: 0.5866 Epoch 50/150 77/77 [==============================] - 0s 751us/step - loss: 0.5857 Epoch 51/150 77/77 [==============================] - 0s 790us/step - loss: 0.5850 Epoch 52/150 77/77 [==============================] - 0s 803us/step - loss: 0.5855 Epoch 53/150 77/77 [==============================] - 0s 777us/step - loss: 0.5841 Epoch 54/150 77/77 [==============================] - 0s 790us/step - loss: 0.5832 Epoch 55/150 77/77 [==============================] - 0s 751us/step - loss: 0.5824 Epoch 56/150 77/77 [==============================] - 0s 725us/step - loss: 0.5830 Epoch 57/150 77/77 [==============================] - 0s 790us/step - loss: 0.5820 Epoch 58/150 77/77 [==============================] - 0s 751us/step - loss: 0.5813 Epoch 59/150 77/77 [==============================] - 0s 816us/step - loss: 0.5799 Epoch 60/150 77/77 [==============================] - 0s 790us/step - loss: 0.5803 Epoch 61/150 77/77 [==============================] - 0s 764us/step - loss: 0.5786 Epoch 62/150 77/77 [==============================] - 0s 738us/step - loss: 0.5790 Epoch 63/150 77/77 [==============================] - 0s 764us/step - loss: 0.5778 Epoch 64/150 77/77 [==============================] - 0s 738us/step - loss: 0.5781 Epoch 65/150 77/77 [==============================] - 0s 803us/step - loss: 0.5776 Epoch 66/150 77/77 [==============================] - 0s 803us/step - loss: 0.5768 Epoch 67/150 77/77 [==============================] - 0s 803us/step - loss: 0.5762 Epoch 68/150 77/77 [==============================] - 0s 777us/step - loss: 0.5760 Epoch 69/150 77/77 [==============================] - 0s 764us/step - loss: 0.5753 Epoch 70/150 77/77 [==============================] - 0s 777us/step - loss: 0.5744 Epoch 71/150 77/77 [==============================] - 0s 764us/step - loss: 0.5710 Epoch 72/150 77/77 [==============================] - 0s 738us/step - loss: 0.5758 Epoch 73/150 77/77 [==============================] - 0s 803us/step - loss: 0.5738 Epoch 74/150 77/77 [==============================] - 0s 764us/step - loss: 0.5729 Epoch 75/150 77/77 [==============================] - 0s 751us/step - loss: 0.5733 Epoch 76/150 77/77 [==============================] - 0s 790us/step - loss: 0.5715 Epoch 77/150 77/77 [==============================] - 0s 751us/step - loss: 0.5713 Epoch 78/150 77/77 [==============================] - 0s 803us/step - loss: 0.5710 Epoch 79/150 77/77 [==============================] - 0s 790us/step - loss: 0.5694 Epoch 80/150 77/77 [==============================] - 0s 764us/step - loss: 0.5695 Epoch 81/150 77/77 [==============================] - 0s 725us/step - loss: 0.5690 Epoch 82/150 77/77 [==============================] - 0s 764us/step - loss: 0.5680 Epoch 83/150 77/77 [==============================] - 0s 764us/step - loss: 0.5672 Epoch 84/150 77/77 [==============================] - 0s 738us/step - loss: 0.5682 Epoch 85/150 77/77 [==============================] - 0s 777us/step - loss: 0.5670 Epoch 86/150 77/77 [==============================] - 0s 777us/step - loss: 0.5659 Epoch 87/150 77/77 [==============================] - 0s 738us/step - loss: 0.5633 Epoch 88/150 77/77 [==============================] - 0s 803us/step - loss: 0.5649 Epoch 89/150 77/77 [==============================] - 0s 764us/step - loss: 0.5653 Epoch 90/150 77/77 [==============================] - 0s 764us/step - loss: 0.5642 Epoch 91/150 77/77 [==============================] - 0s 816us/step - loss: 0.5642 Epoch 92/150 77/77 [==============================] - 0s 777us/step - loss: 0.5639 Epoch 93/150 77/77 [==============================] - 0s 764us/step - loss: 0.5623 Epoch 94/150 77/77 [==============================] - 0s 777us/step - loss: 0.5632 Epoch 95/150 77/77 [==============================] - 0s 738us/step - loss: 0.5631 Epoch 96/150 77/77 [==============================] - 0s 725us/step - loss: 0.5626 Epoch 97/150 77/77 [==============================] - 0s 777us/step - loss: 0.5596 Epoch 98/150 77/77 [==============================] - 0s 764us/step - loss: 0.5612 Epoch 99/150 77/77 [==============================] - 0s 777us/step - loss: 0.5598 Epoch 100/150 77/77 [==============================] - 0s 764us/step - loss: 0.5609 Epoch 101/150 77/77 [==============================] - 0s 751us/step - loss: 0.5609 Epoch 102/150 77/77 [==============================] - 0s 751us/step - loss: 0.5591 Epoch 103/150 77/77 [==============================] - 0s 738us/step - loss: 0.5583 Epoch 104/150 77/77 [==============================] - 0s 751us/step - loss: 0.5590 Epoch 105/150 77/77 [==============================] - 0s 777us/step - loss: 0.5596 Epoch 106/150 77/77 [==============================] - 0s 777us/step - loss: 0.5576 Epoch 107/150 77/77 [==============================] - 0s 751us/step - loss: 0.5582 Epoch 108/150 77/77 [==============================] - 0s 738us/step - loss: 0.5578 Epoch 109/150 77/77 [==============================] - 0s 790us/step - loss: 0.5580 Epoch 110/150 77/77 [==============================] - 0s 777us/step - loss: 0.5563 Epoch 111/150 77/77 [==============================] - 0s 803us/step - loss: 0.5554 Epoch 112/150 77/77 [==============================] - 0s 738us/step - loss: 0.5561 Epoch 113/150 77/77 [==============================] - 0s 699us/step - loss: 0.5552 Epoch 114/150 77/77 [==============================] - 0s 777us/step - loss: 0.5547 Epoch 115/150 77/77 [==============================] - 0s 764us/step - loss: 0.5559 Epoch 116/150 77/77 [==============================] - 0s 751us/step - loss: 0.5543 Epoch 117/150 77/77 [==============================] - 0s 790us/step - loss: 0.5544 Epoch 118/150 77/77 [==============================] - 0s 816us/step - loss: 0.5537 Epoch 119/150 77/77 [==============================] - 0s 738us/step - loss: 0.5539 Epoch 120/150 77/77 [==============================] - 0s 790us/step - loss: 0.5516 Epoch 121/150 77/77 [==============================] - 0s 777us/step - loss: 0.5542 Epoch 122/150 77/77 [==============================] - 0s 777us/step - loss: 0.5524 Epoch 123/150 77/77 [==============================] - 0s 816us/step - loss: 0.5523 Epoch 124/150 77/77 [==============================] - 0s 803us/step - loss: 0.5519 Epoch 125/150 77/77 [==============================] - 0s 790us/step - loss: 0.5517 Epoch 126/150 77/77 [==============================] - 0s 790us/step - loss: 0.5505 Epoch 127/150 77/77 [==============================] - 0s 751us/step - loss: 0.5512 Epoch 128/150 77/77 [==============================] - 0s 777us/step - loss: 0.5512 Epoch 129/150 77/77 [==============================] - 0s 777us/step - loss: 0.5515 Epoch 130/150 77/77 [==============================] - 0s 790us/step - loss: 0.5508 Epoch 131/150 77/77 [==============================] - 0s 803us/step - loss: 0.5494 Epoch 132/150 77/77 [==============================] - 0s 790us/step - loss: 0.5499 Epoch 133/150 77/77 [==============================] - 0s 803us/step - loss: 0.5488 Epoch 134/150 77/77 [==============================] - 0s 803us/step - loss: 0.5456 Epoch 135/150 77/77 [==============================] - 0s 777us/step - loss: 0.5492 Epoch 136/150 77/77 [==============================] - 0s 803us/step - loss: 0.5476 Epoch 137/150 77/77 [==============================] - 0s 816us/step - loss: 0.5462 Epoch 138/150 77/77 [==============================] - 0s 842us/step - loss: 0.5469 Epoch 139/150 77/77 [==============================] - 0s 751us/step - loss: 0.5459 Epoch 140/150 77/77 [==============================] - 0s 777us/step - loss: 0.5462 Epoch 141/150 77/77 [==============================] - 0s 803us/step - loss: 0.5456 Epoch 142/150 77/77 [==============================] - 0s 803us/step - loss: 0.5469 Epoch 143/150 77/77 [==============================] - 0s 803us/step - loss: 0.5422 Epoch 144/150 77/77 [==============================] - 0s 777us/step - loss: 0.5465 Epoch 145/150 77/77 [==============================] - 0s 816us/step - loss: 0.5447 Epoch 146/150 77/77 [==============================] - 0s 790us/step - loss: 0.5449 Epoch 147/150 77/77 [==============================] - 0s 751us/step - loss: 0.5431 Epoch 148/150 77/77 [==============================] - 0s 803us/step - loss: 0.5434 Epoch 149/150 77/77 [==============================] - 0s 738us/step - loss: 0.5429 Epoch 150/150 77/77 [==============================] - 0s 777us/step - loss: 0.5434 ###################################################################### Accuracy: 75.26035752319413 Epoch 1/150 77/77 [==============================] - 0s 836us/step - loss: 0.9957 Epoch 2/150 77/77 [==============================] - 0s 779us/step - loss: 0.9523 Epoch 3/150 77/77 [==============================] - 0s 777us/step - loss: 0.8600 Epoch 4/150 77/77 [==============================] - 0s 790us/step - loss: 0.7558 Epoch 5/150 77/77 [==============================] - 0s 764us/step - loss: 0.6817 Epoch 6/150 77/77 [==============================] - 0s 803us/step - loss: 0.6509 Epoch 7/150 77/77 [==============================] - 0s 751us/step - loss: 0.6386 Epoch 8/150 77/77 [==============================] - 0s 803us/step - loss: 0.6311 Epoch 9/150 77/77 [==============================] - 0s 751us/step - loss: 0.6265 Epoch 10/150 77/77 [==============================] - 0s 816us/step - loss: 0.6217 Epoch 11/150 77/77 [==============================] - 0s 816us/step - loss: 0.6175 Epoch 12/150 77/77 [==============================] - 0s 803us/step - loss: 0.6140 Epoch 13/150 77/77 [==============================] - 0s 764us/step - loss: 0.6119 Epoch 14/150 77/77 [==============================] - 0s 803us/step - loss: 0.6086 Epoch 15/150 77/77 [==============================] - 0s 764us/step - loss: 0.6052 Epoch 16/150 77/77 [==============================] - 0s 751us/step - loss: 0.6028 Epoch 17/150 77/77 [==============================] - 0s 777us/step - loss: 0.5995 Epoch 18/150 77/77 [==============================] - 0s 790us/step - loss: 0.5982 Epoch 19/150 77/77 [==============================] - 0s 738us/step - loss: 0.5964 Epoch 20/150 77/77 [==============================] - 0s 790us/step - loss: 0.5938 Epoch 21/150 77/77 [==============================] - 0s 764us/step - loss: 0.5909 Epoch 22/150 77/77 [==============================] - 0s 751us/step - loss: 0.5892 Epoch 23/150 77/77 [==============================] - 0s 751us/step - loss: 0.5868 Epoch 24/150 77/77 [==============================] - 0s 751us/step - loss: 0.5857 Epoch 25/150 77/77 [==============================] - 0s 751us/step - loss: 0.5835 Epoch 26/150 77/77 [==============================] - 0s 764us/step - loss: 0.5829 Epoch 27/150 77/77 [==============================] - 0s 803us/step - loss: 0.5811 Epoch 28/150 77/77 [==============================] - 0s 764us/step - loss: 0.5787 Epoch 29/150 77/77 [==============================] - 0s 790us/step - loss: 0.5775 Epoch 30/150 77/77 [==============================] - 0s 790us/step - loss: 0.5769 Epoch 31/150 77/77 [==============================] - 0s 764us/step - loss: 0.5752 Epoch 32/150 77/77 [==============================] - 0s 751us/step - loss: 0.5753 Epoch 33/150 77/77 [==============================] - 0s 777us/step - loss: 0.5737 Epoch 34/150 77/77 [==============================] - 0s 751us/step - loss: 0.5711 Epoch 35/150 77/77 [==============================] - 0s 803us/step - loss: 0.5710 Epoch 36/150 77/77 [==============================] - 0s 777us/step - loss: 0.5704 Epoch 37/150 77/77 [==============================] - 0s 803us/step - loss: 0.5686 Epoch 38/150 77/77 [==============================] - 0s 803us/step - loss: 0.5689 Epoch 39/150 77/77 [==============================] - 0s 777us/step - loss: 0.5686 Epoch 40/150 77/77 [==============================] - 0s 790us/step - loss: 0.5665 Epoch 41/150 77/77 [==============================] - 0s 816us/step - loss: 0.5645 Epoch 42/150 77/77 [==============================] - 0s 751us/step - loss: 0.5652 Epoch 43/150 77/77 [==============================] - 0s 777us/step - loss: 0.5646 Epoch 44/150 77/77 [==============================] - 0s 816us/step - loss: 0.5644 Epoch 45/150 77/77 [==============================] - 0s 816us/step - loss: 0.5615 Epoch 46/150 77/77 [==============================] - 0s 790us/step - loss: 0.5629 Epoch 47/150 77/77 [==============================] - 0s 777us/step - loss: 0.5601 Epoch 48/150 77/77 [==============================] - 0s 777us/step - loss: 0.5615 Epoch 49/150 77/77 [==============================] - 0s 764us/step - loss: 0.5603 Epoch 50/150 77/77 [==============================] - 0s 790us/step - loss: 0.5589 Epoch 51/150 77/77 [==============================] - 0s 777us/step - loss: 0.5593 Epoch 52/150 77/77 [==============================] - 0s 790us/step - loss: 0.5597 Epoch 53/150 77/77 [==============================] - 0s 777us/step - loss: 0.5581 Epoch 54/150 77/77 [==============================] - 0s 790us/step - loss: 0.5574 Epoch 55/150 77/77 [==============================] - 0s 803us/step - loss: 0.5563 Epoch 56/150 77/77 [==============================] - 0s 777us/step - loss: 0.5554 Epoch 57/150 77/77 [==============================] - 0s 803us/step - loss: 0.5554 Epoch 58/150 77/77 [==============================] - 0s 764us/step - loss: 0.5534 Epoch 59/150 77/77 [==============================] - 0s 777us/step - loss: 0.5550 Epoch 60/150 77/77 [==============================] - 0s 816us/step - loss: 0.5535 Epoch 61/150 77/77 [==============================] - 0s 803us/step - loss: 0.5536 Epoch 62/150 77/77 [==============================] - 0s 816us/step - loss: 0.5522 Epoch 63/150 77/77 [==============================] - 0s 803us/step - loss: 0.5530 Epoch 64/150 77/77 [==============================] - 0s 842us/step - loss: 0.5515 Epoch 65/150 77/77 [==============================] - 0s 790us/step - loss: 0.5520 Epoch 66/150 77/77 [==============================] - 0s 803us/step - loss: 0.5504 Epoch 67/150 77/77 [==============================] - 0s 816us/step - loss: 0.5483 Epoch 68/150 77/77 [==============================] - 0s 803us/step - loss: 0.5498 Epoch 69/150 77/77 [==============================] - 0s 738us/step - loss: 0.5504 Epoch 70/150 77/77 [==============================] - 0s 920us/step - loss: 0.5488 Epoch 71/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5494 Epoch 72/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5473 Epoch 73/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5490 Epoch 74/150 77/77 [==============================] - 0s 971us/step - loss: 0.5472 Epoch 75/150 77/77 [==============================] - 0s 881us/step - loss: 0.5466 Epoch 76/150 77/77 [==============================] - 0s 958us/step - loss: 0.5446 Epoch 77/150 77/77 [==============================] - 0s 945us/step - loss: 0.5477 Epoch 78/150 77/77 [==============================] - 0s 1ms/step - loss: 0.5455 Epoch 79/150 77/77 [==============================] - 0s 803us/step - loss: 0.5443 Epoch 80/150 77/77 [==============================] - 0s 829us/step - loss: 0.5456 Epoch 81/150 77/77 [==============================] - 0s 816us/step - loss: 0.5445 Epoch 82/150 77/77 [==============================] - 0s 829us/step - loss: 0.5392 Epoch 83/150 77/77 [==============================] - 0s 842us/step - loss: 0.5445 Epoch 84/150 77/77 [==============================] - 0s 842us/step - loss: 0.5437 Epoch 85/150 77/77 [==============================] - 0s 790us/step - loss: 0.5441 Epoch 86/150 77/77 [==============================] - 0s 816us/step - loss: 0.5449 Epoch 87/150 77/77 [==============================] - 0s 790us/step - loss: 0.5427 Epoch 88/150 77/77 [==============================] - 0s 725us/step - loss: 0.5425 Epoch 89/150 77/77 [==============================] - 0s 803us/step - loss: 0.5414 Epoch 90/150 77/77 [==============================] - 0s 829us/step - loss: 0.5437 Epoch 91/150 77/77 [==============================] - 0s 803us/step - loss: 0.5425 Epoch 92/150 77/77 [==============================] - 0s 777us/step - loss: 0.5416 Epoch 93/150 77/77 [==============================] - 0s 829us/step - loss: 0.5416 Epoch 94/150 77/77 [==============================] - 0s 816us/step - loss: 0.5413 Epoch 95/150 77/77 [==============================] - 0s 816us/step - loss: 0.5417 Epoch 96/150 77/77 [==============================] - 0s 829us/step - loss: 0.5411 Epoch 97/150 77/77 [==============================] - 0s 829us/step - loss: 0.5402 Epoch 98/150 77/77 [==============================] - 0s 868us/step - loss: 0.5407 Epoch 99/150 77/77 [==============================] - 0s 842us/step - loss: 0.5386 Epoch 100/150 77/77 [==============================] - 0s 803us/step - loss: 0.5397 Epoch 101/150 77/77 [==============================] - 0s 764us/step - loss: 0.5385 Epoch 102/150 77/77 [==============================] - 0s 933us/step - loss: 0.5383 Epoch 103/150 77/77 [==============================] - 0s 855us/step - loss: 0.5383 Epoch 104/150 77/77 [==============================] - 0s 803us/step - loss: 0.5390 Epoch 105/150 77/77 [==============================] - 0s 803us/step - loss: 0.5386 Epoch 106/150 77/77 [==============================] - 0s 803us/step - loss: 0.5373 Epoch 107/150 77/77 [==============================] - 0s 777us/step - loss: 0.5383 Epoch 108/150 77/77 [==============================] - 0s 764us/step - loss: 0.5388 Epoch 109/150 77/77 [==============================] - 0s 816us/step - loss: 0.5379 Epoch 110/150 77/77 [==============================] - 0s 842us/step - loss: 0.5372 Epoch 111/150 77/77 [==============================] - 0s 816us/step - loss: 0.5366 Epoch 112/150 77/77 [==============================] - 0s 777us/step - loss: 0.5368 Epoch 113/150 77/77 [==============================] - 0s 803us/step - loss: 0.5363 Epoch 114/150 77/77 [==============================] - 0s 777us/step - loss: 0.5362 Epoch 115/150 77/77 [==============================] - 0s 764us/step - loss: 0.5353 Epoch 116/150 77/77 [==============================] - 0s 803us/step - loss: 0.5347 Epoch 117/150 77/77 [==============================] - 0s 829us/step - loss: 0.5362 Epoch 118/150 77/77 [==============================] - 0s 842us/step - loss: 0.5358 Epoch 119/150 77/77 [==============================] - 0s 829us/step - loss: 0.5360 Epoch 120/150 77/77 [==============================] - 0s 816us/step - loss: 0.5346 Epoch 121/150 77/77 [==============================] - 0s 777us/step - loss: 0.5354 Epoch 122/150 77/77 [==============================] - 0s 777us/step - loss: 0.5359 Epoch 123/150 77/77 [==============================] - 0s 777us/step - loss: 0.5327 Epoch 124/150 77/77 [==============================] - 0s 816us/step - loss: 0.5350 Epoch 125/150 77/77 [==============================] - 0s 868us/step - loss: 0.5361 Epoch 126/150 77/77 [==============================] - 0s 790us/step - loss: 0.5314 Epoch 127/150 77/77 [==============================] - 0s 842us/step - loss: 0.5346 Epoch 128/150 77/77 [==============================] - 0s 855us/step - loss: 0.5321 Epoch 129/150 77/77 [==============================] - 0s 842us/step - loss: 0.5332 Epoch 130/150 77/77 [==============================] - 0s 894us/step - loss: 0.5327 Epoch 131/150 77/77 [==============================] - 0s 881us/step - loss: 0.5326 Epoch 132/150 77/77 [==============================] - 0s 816us/step - loss: 0.5319 Epoch 133/150 77/77 [==============================] - 0s 829us/step - loss: 0.5319 Epoch 134/150 77/77 [==============================] - 0s 881us/step - loss: 0.5317 Epoch 135/150 77/77 [==============================] - 0s 907us/step - loss: 0.5317 Epoch 136/150 77/77 [==============================] - 0s 829us/step - loss: 0.5297 Epoch 137/150 77/77 [==============================] - 0s 829us/step - loss: 0.5293 Epoch 138/150 77/77 [==============================] - 0s 816us/step - loss: 0.5307 Epoch 139/150 77/77 [==============================] - 0s 816us/step - loss: 0.5290 Epoch 140/150 77/77 [==============================] - 0s 842us/step - loss: 0.5298 Epoch 141/150 77/77 [==============================] - 0s 855us/step - loss: 0.5292 Epoch 142/150 77/77 [==============================] - 0s 751us/step - loss: 0.5298 Epoch 143/150 77/77 [==============================] - 0s 842us/step - loss: 0.5290 Epoch 144/150 77/77 [==============================] - 0s 751us/step - loss: 0.5283 Epoch 145/150 77/77 [==============================] - 0s 751us/step - loss: 0.5298 Epoch 146/150 77/77 [==============================] - 0s 803us/step - loss: 0.5279 Epoch 147/150 77/77 [==============================] - 0s 829us/step - loss: 0.5287 Epoch 148/150 77/77 [==============================] - 0s 855us/step - loss: 0.5272 Epoch 149/150 77/77 [==============================] - 0s 842us/step - loss: 0.5279 Epoch 150/150 77/77 [==============================] - 0s 790us/step - loss: 0.5272 ###################################################################### Accuracy: 75.67856753867451 Epoch 1/10 38/38 [==============================] - 0s 997us/step - loss: 1.0161 Epoch 2/10 38/38 [==============================] - 0s 840us/step - loss: 0.9997 Epoch 3/10 38/38 [==============================] - 0s 787us/step - loss: 0.9641 Epoch 4/10 38/38 [==============================] - 0s 787us/step - loss: 0.9073 Epoch 5/10 38/38 [==============================] - 0s 814us/step - loss: 0.8344 Epoch 6/10 38/38 [==============================] - 0s 892us/step - loss: 0.7694 Epoch 7/10 38/38 [==============================] - 0s 840us/step - loss: 0.7184 Epoch 8/10 38/38 [==============================] - 0s 892us/step - loss: 0.6859 Epoch 9/10 38/38 [==============================] - 0s 840us/step - loss: 0.6626 Epoch 10/10 38/38 [==============================] - 0s 866us/step - loss: 0.6466 ###################################################################### Accuracy: 73.45802598811434 Epoch 1/10 1/39 [..............................] - ETA: 0s - loss: 1.6470WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 947us/step - loss: 0.9811 Epoch 2/10 39/39 [==============================] - 0s 844us/step - loss: 0.9581 Epoch 3/10 39/39 [==============================] - 0s 793us/step - loss: 0.9077 Epoch 4/10 39/39 [==============================] - 0s 716us/step - loss: 0.8431 Epoch 5/10 39/39 [==============================] - 0s 742us/step - loss: 0.7834 Epoch 6/10 39/39 [==============================] - 0s 767us/step - loss: 0.7432 Epoch 7/10 39/39 [==============================] - 0s 793us/step - loss: 0.7067 Epoch 8/10 39/39 [==============================] - 0s 793us/step - loss: 0.6812 Epoch 9/10 39/39 [==============================] - 0s 818us/step - loss: 0.6648 Epoch 10/10 39/39 [==============================] - 0s 793us/step - loss: 0.6526 ###################################################################### Accuracy: 82.9918917027214 Epoch 1/10 39/39 [==============================] - 0s 869us/step - loss: 0.9743 Epoch 2/10 39/39 [==============================] - 0s 793us/step - loss: 0.9602 Epoch 3/10 39/39 [==============================] - 0s 818us/step - loss: 0.9261 Epoch 4/10 39/39 [==============================] - 0s 869us/step - loss: 0.8689 Epoch 5/10 39/39 [==============================] - 0s 793us/step - loss: 0.7996 Epoch 6/10 39/39 [==============================] - 0s 818us/step - loss: 0.7374 Epoch 7/10 39/39 [==============================] - 0s 844us/step - loss: 0.6845 Epoch 8/10 39/39 [==============================] - 0s 844us/step - loss: 0.6530 Epoch 9/10 39/39 [==============================] - 0s 818us/step - loss: 0.6378 Epoch 10/10 39/39 [==============================] - 0s 818us/step - loss: 0.6263 ###################################################################### Accuracy: 95.02103271167613 Epoch 1/10 1/39 [..............................] - ETA: 0s - loss: 0.7967WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 869us/step - loss: 1.0141 Epoch 2/10 39/39 [==============================] - 0s 818us/step - loss: 0.9924 Epoch 3/10 39/39 [==============================] - 0s 793us/step - loss: 0.9473 Epoch 4/10 39/39 [==============================] - 0s 767us/step - loss: 0.8756 Epoch 5/10 39/39 [==============================] - 0s 767us/step - loss: 0.8011 Epoch 6/10 39/39 [==============================] - 0s 716us/step - loss: 0.7340 Epoch 7/10 39/39 [==============================] - 0s 767us/step - loss: 0.6885 Epoch 8/10 39/39 [==============================] - 0s 767us/step - loss: 0.6634 Epoch 9/10 39/39 [==============================] - 0s 742us/step - loss: 0.6517 Epoch 10/10 39/39 [==============================] - 0s 742us/step - loss: 0.6466 ###################################################################### Accuracy: 74.49385178537372 Epoch 1/10 39/39 [==============================] - 0s 895us/step - loss: 0.9950 Epoch 2/10 39/39 [==============================] - 0s 895us/step - loss: 0.9692 Epoch 3/10 39/39 [==============================] - 0s 742us/step - loss: 0.9188 Epoch 4/10 39/39 [==============================] - 0s 767us/step - loss: 0.8466 Epoch 5/10 39/39 [==============================] - 0s 793us/step - loss: 0.7786 Epoch 6/10 39/39 [==============================] - 0s 844us/step - loss: 0.7203 Epoch 7/10 39/39 [==============================] - 0s 742us/step - loss: 0.6804 Epoch 8/10 39/39 [==============================] - 0s 742us/step - loss: 0.6610 Epoch 9/10 39/39 [==============================] - 0s 793us/step - loss: 0.6486 Epoch 10/10 39/39 [==============================] - 0s 818us/step - loss: 0.6436 ###################################################################### Accuracy: 74.50219497371708 Epoch 1/20 38/38 [==============================] - 0s 813us/step - loss: 1.0135 Epoch 2/20 38/38 [==============================] - 0s 892us/step - loss: 0.9890 Epoch 3/20 38/38 [==============================] - 0s 735us/step - loss: 0.9419 Epoch 4/20 38/38 [==============================] - 0s 814us/step - loss: 0.8750 Epoch 5/20 38/38 [==============================] - 0s 814us/step - loss: 0.7974 Epoch 6/20 38/38 [==============================] - 0s 840us/step - loss: 0.7281 Epoch 7/20 38/38 [==============================] - 0s 787us/step - loss: 0.6834 Epoch 8/20 38/38 [==============================] - 0s 761us/step - loss: 0.6587 Epoch 9/20 38/38 [==============================] - 0s 735us/step - loss: 0.6462 Epoch 10/20 38/38 [==============================] - 0s 735us/step - loss: 0.6396 Epoch 11/20 38/38 [==============================] - 0s 761us/step - loss: 0.6360 Epoch 12/20 38/38 [==============================] - 0s 735us/step - loss: 0.6320 Epoch 13/20 38/38 [==============================] - 0s 787us/step - loss: 0.6288 Epoch 14/20 38/38 [==============================] - 0s 761us/step - loss: 0.6254 Epoch 15/20 38/38 [==============================] - 0s 709us/step - loss: 0.6214 Epoch 16/20 38/38 [==============================] - 0s 761us/step - loss: 0.6205 Epoch 17/20 38/38 [==============================] - 0s 761us/step - loss: 0.6179 Epoch 18/20 38/38 [==============================] - 0s 787us/step - loss: 0.6149 Epoch 19/20 38/38 [==============================] - 0s 761us/step - loss: 0.6125 Epoch 20/20 38/38 [==============================] - 0s 682us/step - loss: 0.6095 ###################################################################### Accuracy: 68.69930999535615 Epoch 1/20 1/39 [..............................] - ETA: 0s - loss: 0.9251WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 921us/step - loss: 0.9842 Epoch 2/20 39/39 [==============================] - 0s 844us/step - loss: 0.9666 Epoch 3/20 39/39 [==============================] - 0s 779us/step - loss: 0.9273 Epoch 4/20 39/39 [==============================] - 0s 742us/step - loss: 0.8657 Epoch 5/20 39/39 [==============================] - 0s 818us/step - loss: 0.7936 Epoch 6/20 39/39 [==============================] - 0s 716us/step - loss: 0.7274 Epoch 7/20 39/39 [==============================] - 0s 742us/step - loss: 0.6814 Epoch 8/20 39/39 [==============================] - 0s 793us/step - loss: 0.6584 Epoch 9/20 39/39 [==============================] - 0s 742us/step - loss: 0.6508 Epoch 10/20 39/39 [==============================] - 0s 742us/step - loss: 0.6453 Epoch 11/20 39/39 [==============================] - 0s 742us/step - loss: 0.6418 Epoch 12/20 39/39 [==============================] - 0s 767us/step - loss: 0.6393 Epoch 13/20 39/39 [==============================] - 0s 793us/step - loss: 0.6372 Epoch 14/20 39/39 [==============================] - 0s 767us/step - loss: 0.6349 Epoch 15/20 39/39 [==============================] - 0s 818us/step - loss: 0.6324 Epoch 16/20 39/39 [==============================] - 0s 818us/step - loss: 0.6298 Epoch 17/20 39/39 [==============================] - 0s 844us/step - loss: 0.6281 Epoch 18/20 39/39 [==============================] - 0s 767us/step - loss: 0.6251 Epoch 19/20 39/39 [==============================] - ETA: 0s - loss: 0.981 - 0s 742us/step - loss: 0.6230 Epoch 20/20 39/39 [==============================] - 0s 793us/step - loss: 0.6219 ###################################################################### Accuracy: 75.22682022312858 Epoch 1/20 39/39 [==============================] - 0s 869us/step - loss: 0.9745 Epoch 2/20 39/39 [==============================] - 0s 818us/step - loss: 0.9588 Epoch 3/20 39/39 [==============================] - 0s 844us/step - loss: 0.9201 Epoch 4/20 39/39 [==============================] - 0s 793us/step - loss: 0.8588 Epoch 5/20 39/39 [==============================] - 0s 844us/step - loss: 0.7797 Epoch 6/20 39/39 [==============================] - 0s 844us/step - loss: 0.7086 Epoch 7/20 39/39 [==============================] - 0s 793us/step - loss: 0.6633 Epoch 8/20 39/39 [==============================] - 0s 818us/step - loss: 0.6404 Epoch 9/20 39/39 [==============================] - 0s 869us/step - loss: 0.6298 Epoch 10/20 39/39 [==============================] - 0s 793us/step - loss: 0.6256 Epoch 11/20 39/39 [==============================] - 0s 818us/step - loss: 0.6209 Epoch 12/20 39/39 [==============================] - 0s 716us/step - loss: 0.6185 Epoch 13/20 39/39 [==============================] - 0s 793us/step - loss: 0.6153 Epoch 14/20 39/39 [==============================] - 0s 793us/step - loss: 0.6134 Epoch 15/20 39/39 [==============================] - 0s 818us/step - loss: 0.6106 Epoch 16/20 39/39 [==============================] - 0s 818us/step - loss: 0.6081 Epoch 17/20 39/39 [==============================] - 0s 767us/step - loss: 0.6050 Epoch 18/20 39/39 [==============================] - 0s 844us/step - loss: 0.6043 Epoch 19/20 39/39 [==============================] - 0s 818us/step - loss: 0.6009 Epoch 20/20 39/39 [==============================] - 0s 793us/step - loss: 0.5987 ###################################################################### Accuracy: 89.74449910058843 Epoch 1/20 39/39 [==============================] - 0s 869us/step - loss: 1.0164 Epoch 2/20 39/39 [==============================] - 0s 793us/step - loss: 1.0014 Epoch 3/20 39/39 [==============================] - 0s 818us/step - loss: 0.9666 Epoch 4/20 39/39 [==============================] - 0s 742us/step - loss: 0.9131 Epoch 5/20 39/39 [==============================] - 0s 767us/step - loss: 0.8433 Epoch 6/20 39/39 [==============================] - 0s 793us/step - loss: 0.7681 Epoch 7/20 39/39 [==============================] - 0s 716us/step - loss: 0.7069 Epoch 8/20 39/39 [==============================] - 0s 793us/step - loss: 0.6699 Epoch 9/20 39/39 [==============================] - 0s 793us/step - loss: 0.6524 Epoch 10/20 39/39 [==============================] - 0s 767us/step - loss: 0.6447 Epoch 11/20 39/39 [==============================] - 0s 818us/step - loss: 0.6396 Epoch 12/20 39/39 [==============================] - 0s 767us/step - loss: 0.6353 Epoch 13/20 39/39 [==============================] - 0s 844us/step - loss: 0.6335 Epoch 14/20 39/39 [==============================] - 0s 819us/step - loss: 0.6320 Epoch 15/20 39/39 [==============================] - 0s 844us/step - loss: 0.6293 Epoch 16/20 39/39 [==============================] - 0s 793us/step - loss: 0.6276 Epoch 17/20 39/39 [==============================] - 0s 716us/step - loss: 0.6247 Epoch 18/20 39/39 [==============================] - 0s 793us/step - loss: 0.6240 Epoch 19/20 39/39 [==============================] - 0s 844us/step - loss: 0.6217 Epoch 20/20 39/39 [==============================] - 0s 844us/step - loss: 0.6204 ###################################################################### Accuracy: 71.47680244182371 Epoch 1/20 39/39 [==============================] - 0s 869us/step - loss: 1.0011 Epoch 2/20 39/39 [==============================] - 0s 793us/step - loss: 0.9905 Epoch 3/20 39/39 [==============================] - 0s 793us/step - loss: 0.9675 Epoch 4/20 39/39 [==============================] - 0s 767us/step - loss: 0.9209 Epoch 5/20 39/39 [==============================] - 0s 818us/step - loss: 0.8605 Epoch 6/20 39/39 [==============================] - 0s 895us/step - loss: 0.8067 Epoch 7/20 39/39 [==============================] - 0s 793us/step - loss: 0.7650 Epoch 8/20 39/39 [==============================] - 0s 793us/step - loss: 0.7314 Epoch 9/20 39/39 [==============================] - 0s 818us/step - loss: 0.6996 Epoch 10/20 39/39 [==============================] - 0s 1ms/step - loss: 0.6766 Epoch 11/20 39/39 [==============================] - 0s 895us/step - loss: 0.6586 Epoch 12/20 39/39 [==============================] - 0s 767us/step - loss: 0.6466 Epoch 13/20 39/39 [==============================] - 0s 844us/step - loss: 0.6378 Epoch 14/20 39/39 [==============================] - 0s 818us/step - loss: 0.6308 Epoch 15/20 39/39 [==============================] - 0s 742us/step - loss: 0.6261 Epoch 16/20 39/39 [==============================] - 0s 1ms/step - loss: 0.6222 Epoch 17/20 39/39 [==============================] - 0s 767us/step - loss: 0.6184 Epoch 18/20 39/39 [==============================] - 0s 818us/step - loss: 0.6155 Epoch 19/20 39/39 [==============================] - 0s 793us/step - loss: 0.6121 Epoch 20/20 39/39 [==============================] - 0s 818us/step - loss: 0.6096 ###################################################################### Accuracy: 75.37980566188617 Epoch 1/50 38/38 [==============================] - 0s 814us/step - loss: 1.0166 Epoch 2/50 38/38 [==============================] - 0s 814us/step - loss: 1.0019 Epoch 3/50 38/38 [==============================] - 0s 840us/step - loss: 0.9626 Epoch 4/50 38/38 [==============================] - 0s 787us/step - loss: 0.8977 Epoch 5/50 38/38 [==============================] - 0s 761us/step - loss: 0.8149 Epoch 6/50 38/38 [==============================] - 0s 787us/step - loss: 0.7348 Epoch 7/50 38/38 [==============================] - 0s 814us/step - loss: 0.6756 Epoch 8/50 38/38 [==============================] - 0s 787us/step - loss: 0.6484 Epoch 9/50 38/38 [==============================] - 0s 787us/step - loss: 0.6359 Epoch 10/50 38/38 [==============================] - 0s 787us/step - loss: 0.6293 Epoch 11/50 38/38 [==============================] - 0s 761us/step - loss: 0.6259 Epoch 12/50 38/38 [==============================] - 0s 761us/step - loss: 0.6219 Epoch 13/50 38/38 [==============================] - 0s 787us/step - loss: 0.6174 Epoch 14/50 38/38 [==============================] - 0s 787us/step - loss: 0.6143 Epoch 15/50 38/38 [==============================] - 0s 735us/step - loss: 0.6108 Epoch 16/50 38/38 [==============================] - 0s 735us/step - loss: 0.6077 Epoch 17/50 38/38 [==============================] - 0s 682us/step - loss: 0.6045 Epoch 18/50 38/38 [==============================] - 0s 735us/step - loss: 0.6028 Epoch 19/50 38/38 [==============================] - 0s 761us/step - loss: 0.5997 Epoch 20/50 38/38 [==============================] - 0s 787us/step - loss: 0.5978 Epoch 21/50 38/38 [==============================] - 0s 761us/step - loss: 0.5954 Epoch 22/50 38/38 [==============================] - 0s 735us/step - loss: 0.5937 Epoch 23/50 38/38 [==============================] - 0s 761us/step - loss: 0.5920 Epoch 24/50 38/38 [==============================] - 0s 761us/step - loss: 0.5906 Epoch 25/50 38/38 [==============================] - 0s 787us/step - loss: 0.5887 Epoch 26/50 38/38 [==============================] - 0s 735us/step - loss: 0.5881 Epoch 27/50 38/38 [==============================] - 0s 761us/step - loss: 0.5866 Epoch 28/50 38/38 [==============================] - 0s 787us/step - loss: 0.5853 Epoch 29/50 38/38 [==============================] - 0s 761us/step - loss: 0.5851 Epoch 30/50 38/38 [==============================] - 0s 761us/step - loss: 0.5829 Epoch 31/50 38/38 [==============================] - 0s 735us/step - loss: 0.5820 Epoch 32/50 38/38 [==============================] - 0s 787us/step - loss: 0.5811 Epoch 33/50 38/38 [==============================] - 0s 761us/step - loss: 0.5804 Epoch 34/50 38/38 [==============================] - 0s 787us/step - loss: 0.5792 Epoch 35/50 38/38 [==============================] - 0s 761us/step - loss: 0.5790 Epoch 36/50 38/38 [==============================] - 0s 761us/step - loss: 0.5779 Epoch 37/50 38/38 [==============================] - 0s 761us/step - loss: 0.5764 Epoch 38/50 38/38 [==============================] - 0s 761us/step - loss: 0.5761 Epoch 39/50 38/38 [==============================] - 0s 682us/step - loss: 0.5750 Epoch 40/50 38/38 [==============================] - 0s 787us/step - loss: 0.5749 Epoch 41/50 38/38 [==============================] - 0s 761us/step - loss: 0.5722 Epoch 42/50 38/38 [==============================] - 0s 787us/step - loss: 0.5735 Epoch 43/50 38/38 [==============================] - 0s 787us/step - loss: 0.5720 Epoch 44/50 38/38 [==============================] - 0s 787us/step - loss: 0.5716 Epoch 45/50 38/38 [==============================] - 0s 735us/step - loss: 0.5715 Epoch 46/50 38/38 [==============================] - 0s 761us/step - loss: 0.5707 Epoch 47/50 38/38 [==============================] - 0s 787us/step - loss: 0.5687 Epoch 48/50 38/38 [==============================] - 0s 735us/step - loss: 0.5698 Epoch 49/50 38/38 [==============================] - 0s 735us/step - loss: 0.5688 Epoch 50/50 38/38 [==============================] - 0s 735us/step - loss: 0.5676 ###################################################################### Accuracy: 71.18718893391156 Epoch 1/50 39/39 [==============================] - 0s 921us/step - loss: 0.9840 Epoch 2/50 39/39 [==============================] - 0s 869us/step - loss: 0.9639 Epoch 3/50 39/39 [==============================] - 0s 818us/step - loss: 0.9192 Epoch 4/50 39/39 [==============================] - 0s 742us/step - loss: 0.8494 Epoch 5/50 39/39 [==============================] - 0s 793us/step - loss: 0.7823 Epoch 6/50 39/39 [==============================] - 0s 793us/step - loss: 0.7214 Epoch 7/50 39/39 [==============================] - 0s 818us/step - loss: 0.6854 Epoch 8/50 39/39 [==============================] - 0s 716us/step - loss: 0.6647 Epoch 9/50 39/39 [==============================] - 0s 742us/step - loss: 0.6532 Epoch 10/50 39/39 [==============================] - 0s 793us/step - loss: 0.6459 Epoch 11/50 39/39 [==============================] - 0s 716us/step - loss: 0.6412 Epoch 12/50 39/39 [==============================] - 0s 793us/step - loss: 0.6379 Epoch 13/50 39/39 [==============================] - 0s 818us/step - loss: 0.6358 Epoch 14/50 39/39 [==============================] - 0s 793us/step - loss: 0.6336 Epoch 15/50 39/39 [==============================] - 0s 793us/step - loss: 0.6314 Epoch 16/50 39/39 [==============================] - 0s 767us/step - loss: 0.6292 Epoch 17/50 39/39 [==============================] - 0s 869us/step - loss: 0.6276 Epoch 18/50 39/39 [==============================] - 0s 793us/step - loss: 0.6243 Epoch 19/50 39/39 [==============================] - 0s 793us/step - loss: 0.6198 Epoch 20/50 39/39 [==============================] - 0s 793us/step - loss: 0.6182 Epoch 21/50 39/39 [==============================] - 0s 767us/step - loss: 0.6164 Epoch 22/50 39/39 [==============================] - 0s 793us/step - loss: 0.6148 Epoch 23/50 39/39 [==============================] - 0s 793us/step - loss: 0.6115 Epoch 24/50 39/39 [==============================] - 0s 767us/step - loss: 0.6100 Epoch 25/50 39/39 [==============================] - 0s 742us/step - loss: 0.6077 Epoch 26/50 39/39 [==============================] - 0s 793us/step - loss: 0.6063 Epoch 27/50 39/39 [==============================] - 0s 716us/step - loss: 0.6044 Epoch 28/50 39/39 [==============================] - 0s 742us/step - loss: 0.6024 Epoch 29/50 39/39 [==============================] - 0s 742us/step - loss: 0.6006 Epoch 30/50 39/39 [==============================] - 0s 793us/step - loss: 0.5998 Epoch 31/50 39/39 [==============================] - 0s 767us/step - loss: 0.5990 Epoch 32/50 39/39 [==============================] - 0s 742us/step - loss: 0.5969 Epoch 33/50 39/39 [==============================] - 0s 793us/step - loss: 0.5937 Epoch 34/50 39/39 [==============================] - 0s 716us/step - loss: 0.5949 Epoch 35/50 39/39 [==============================] - 0s 742us/step - loss: 0.5924 Epoch 36/50 39/39 [==============================] - 0s 844us/step - loss: 0.5915 Epoch 37/50 39/39 [==============================] - 0s 818us/step - loss: 0.5909 Epoch 38/50 39/39 [==============================] - 0s 818us/step - loss: 0.5888 Epoch 39/50 39/39 [==============================] - 0s 793us/step - loss: 0.5866 Epoch 40/50 39/39 [==============================] - 0s 793us/step - loss: 0.5857 Epoch 41/50 39/39 [==============================] - 0s 818us/step - loss: 0.5841 Epoch 42/50 39/39 [==============================] - 0s 767us/step - loss: 0.5844 Epoch 43/50 39/39 [==============================] - 0s 742us/step - loss: 0.5838 Epoch 44/50 39/39 [==============================] - 0s 844us/step - loss: 0.5813 Epoch 45/50 39/39 [==============================] - 0s 793us/step - loss: 0.5813 Epoch 46/50 39/39 [==============================] - 0s 818us/step - loss: 0.5798 Epoch 47/50 39/39 [==============================] - 0s 793us/step - loss: 0.5785 Epoch 48/50 39/39 [==============================] - 0s 742us/step - loss: 0.5784 Epoch 49/50 39/39 [==============================] - 0s 793us/step - loss: 0.5776 Epoch 50/50 39/39 [==============================] - 0s 818us/step - loss: 0.5774 ###################################################################### Accuracy: 74.81715192810582 Epoch 1/50 39/39 [==============================] - 0s 870us/step - loss: 0.9732 Epoch 2/50 39/39 [==============================] - 0s 818us/step - loss: 0.9540 Epoch 3/50 39/39 [==============================] - 0s 818us/step - loss: 0.9180 Epoch 4/50 39/39 [==============================] - 0s 793us/step - loss: 0.8620 Epoch 5/50 39/39 [==============================] - 0s 844us/step - loss: 0.7936 Epoch 6/50 39/39 [==============================] - 0s 767us/step - loss: 0.7345 Epoch 7/50 39/39 [==============================] - 0s 869us/step - loss: 0.6901 Epoch 8/50 39/39 [==============================] - 0s 793us/step - loss: 0.6601 Epoch 9/50 39/39 [==============================] - 0s 793us/step - loss: 0.6396 Epoch 10/50 39/39 [==============================] - 0s 818us/step - loss: 0.6278 Epoch 11/50 39/39 [==============================] - 0s 742us/step - loss: 0.6210 Epoch 12/50 39/39 [==============================] - 0s 793us/step - loss: 0.6152 Epoch 13/50 39/39 [==============================] - 0s 818us/step - loss: 0.6105 Epoch 14/50 39/39 [==============================] - 0s 793us/step - loss: 0.6063 Epoch 15/50 39/39 [==============================] - 0s 767us/step - loss: 0.6036 Epoch 16/50 39/39 [==============================] - 0s 742us/step - loss: 0.5999 Epoch 17/50 39/39 [==============================] - 0s 767us/step - loss: 0.5977 Epoch 18/50 39/39 [==============================] - 0s 793us/step - loss: 0.5938 Epoch 19/50 39/39 [==============================] - 0s 818us/step - loss: 0.5922 Epoch 20/50 39/39 [==============================] - 0s 716us/step - loss: 0.5908 Epoch 21/50 39/39 [==============================] - 0s 818us/step - loss: 0.5875 Epoch 22/50 39/39 [==============================] - 0s 818us/step - loss: 0.5846 Epoch 23/50 39/39 [==============================] - 0s 818us/step - loss: 0.5834 Epoch 24/50 39/39 [==============================] - 0s 793us/step - loss: 0.5809 Epoch 25/50 39/39 [==============================] - 0s 742us/step - loss: 0.5806 Epoch 26/50 39/39 [==============================] - 0s 767us/step - loss: 0.5785 Epoch 27/50 39/39 [==============================] - 0s 793us/step - loss: 0.5761 Epoch 28/50 39/39 [==============================] - 0s 793us/step - loss: 0.5753 Epoch 29/50 39/39 [==============================] - 0s 793us/step - loss: 0.5746 Epoch 30/50 39/39 [==============================] - 0s 767us/step - loss: 0.5730 Epoch 31/50 39/39 [==============================] - 0s 844us/step - loss: 0.5720 Epoch 32/50 39/39 [==============================] - 0s 844us/step - loss: 0.5696 Epoch 33/50 39/39 [==============================] - 0s 793us/step - loss: 0.5707 Epoch 34/50 39/39 [==============================] - 0s 793us/step - loss: 0.5691 Epoch 35/50 39/39 [==============================] - 0s 767us/step - loss: 0.5677 Epoch 36/50 39/39 [==============================] - 0s 869us/step - loss: 0.5667 Epoch 37/50 39/39 [==============================] - 0s 818us/step - loss: 0.5662 Epoch 38/50 39/39 [==============================] - 0s 844us/step - loss: 0.5645 Epoch 39/50 39/39 [==============================] - 0s 818us/step - loss: 0.5640 Epoch 40/50 39/39 [==============================] - 0s 844us/step - loss: 0.5633 Epoch 41/50 39/39 [==============================] - 0s 767us/step - loss: 0.5617 Epoch 42/50 39/39 [==============================] - 0s 767us/step - loss: 0.5604 Epoch 43/50 39/39 [==============================] - 0s 716us/step - loss: 0.5603 Epoch 44/50 39/39 [==============================] - 0s 793us/step - loss: 0.5589 Epoch 45/50 39/39 [==============================] - 0s 793us/step - loss: 0.5584 Epoch 46/50 39/39 [==============================] - 0s 767us/step - loss: 0.5575 Epoch 47/50 39/39 [==============================] - 0s 767us/step - loss: 0.5571 Epoch 48/50 39/39 [==============================] - 0s 818us/step - loss: 0.5567 Epoch 49/50 39/39 [==============================] - 0s 819us/step - loss: 0.5561 Epoch 50/50 39/39 [==============================] - 0s 818us/step - loss: 0.5547 ###################################################################### Accuracy: 89.96989503387547 Epoch 1/50 39/39 [==============================] - 0s 869us/step - loss: 1.0136 Epoch 2/50 39/39 [==============================] - 0s 818us/step - loss: 0.9915 Epoch 3/50 39/39 [==============================] - 0s 869us/step - loss: 0.9433 Epoch 4/50 39/39 [==============================] - 0s 793us/step - loss: 0.8681 Epoch 5/50 39/39 [==============================] - 0s 742us/step - loss: 0.7906 Epoch 6/50 39/39 [==============================] - 0s 793us/step - loss: 0.7286 Epoch 7/50 39/39 [==============================] - 0s 793us/step - loss: 0.6821 Epoch 8/50 39/39 [==============================] - 0s 793us/step - loss: 0.6569 Epoch 9/50 39/39 [==============================] - 0s 742us/step - loss: 0.6466 Epoch 10/50 39/39 [==============================] - 0s 767us/step - loss: 0.6432 Epoch 11/50 39/39 [==============================] - 0s 844us/step - loss: 0.6413 Epoch 12/50 39/39 [==============================] - 0s 767us/step - loss: 0.6372 Epoch 13/50 39/39 [==============================] - 0s 793us/step - loss: 0.6367 Epoch 14/50 39/39 [==============================] - 0s 844us/step - loss: 0.6349 Epoch 15/50 39/39 [==============================] - 0s 793us/step - loss: 0.6336 Epoch 16/50 39/39 [==============================] - 0s 844us/step - loss: 0.6301 Epoch 17/50 39/39 [==============================] - 0s 870us/step - loss: 0.6288 Epoch 18/50 39/39 [==============================] - 0s 869us/step - loss: 0.6283 Epoch 19/50 39/39 [==============================] - 0s 844us/step - loss: 0.6259 Epoch 20/50 39/39 [==============================] - 0s 818us/step - loss: 0.6246 Epoch 21/50 39/39 [==============================] - 0s 818us/step - loss: 0.6229 Epoch 22/50 39/39 [==============================] - 0s 793us/step - loss: 0.6207 Epoch 23/50 39/39 [==============================] - 0s 793us/step - loss: 0.6202 Epoch 24/50 39/39 [==============================] - 0s 793us/step - loss: 0.6175 Epoch 25/50 39/39 [==============================] - 0s 844us/step - loss: 0.6174 Epoch 26/50 39/39 [==============================] - 0s 716us/step - loss: 0.6151 Epoch 27/50 39/39 [==============================] - 0s 767us/step - loss: 0.6135 Epoch 28/50 39/39 [==============================] - 0s 767us/step - loss: 0.6122 Epoch 29/50 39/39 [==============================] - 0s 767us/step - loss: 0.6106 Epoch 30/50 39/39 [==============================] - 0s 895us/step - loss: 0.6095 Epoch 31/50 39/39 [==============================] - 0s 818us/step - loss: 0.6089 Epoch 32/50 39/39 [==============================] - 0s 767us/step - loss: 0.6075 Epoch 33/50 39/39 [==============================] - 0s 818us/step - loss: 0.6058 Epoch 34/50 39/39 [==============================] - 0s 818us/step - loss: 0.6046 Epoch 35/50 39/39 [==============================] - 0s 818us/step - loss: 0.6040 Epoch 36/50 39/39 [==============================] - 0s 895us/step - loss: 0.6031 Epoch 37/50 39/39 [==============================] - 0s 818us/step - loss: 0.6019 Epoch 38/50 39/39 [==============================] - 0s 818us/step - loss: 0.6016 Epoch 39/50 39/39 [==============================] - 0s 818us/step - loss: 0.5994 Epoch 40/50 39/39 [==============================] - 0s 767us/step - loss: 0.5993 Epoch 41/50 39/39 [==============================] - 0s 793us/step - loss: 0.5987 Epoch 42/50 39/39 [==============================] - 0s 793us/step - loss: 0.5961 Epoch 43/50 39/39 [==============================] - 0s 844us/step - loss: 0.5964 Epoch 44/50 39/39 [==============================] - 0s 793us/step - loss: 0.5962 Epoch 45/50 39/39 [==============================] - 0s 895us/step - loss: 0.5948 Epoch 46/50 39/39 [==============================] - 0s 972us/step - loss: 0.5951 Epoch 47/50 39/39 [==============================] - 0s 895us/step - loss: 0.5939 Epoch 48/50 39/39 [==============================] - 0s 793us/step - loss: 0.5925 Epoch 49/50 39/39 [==============================] - 0s 844us/step - loss: 0.5918 Epoch 50/50 39/39 [==============================] - 0s 767us/step - loss: 0.5907 ###################################################################### Accuracy: 75.92880676854153 Epoch 1/50 1/39 [..............................] - ETA: 0s - loss: 0.7783WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 921us/step - loss: 0.9953 Epoch 2/50 39/39 [==============================] - 0s 869us/step - loss: 0.9684 Epoch 3/50 39/39 [==============================] - 0s 767us/step - loss: 0.9156 Epoch 4/50 39/39 [==============================] - 0s 818us/step - loss: 0.8450 Epoch 5/50 39/39 [==============================] - 0s 818us/step - loss: 0.7666 Epoch 6/50 39/39 [==============================] - 0s 793us/step - loss: 0.7017 Epoch 7/50 39/39 [==============================] - 0s 767us/step - loss: 0.6607 Epoch 8/50 39/39 [==============================] - 0s 818us/step - loss: 0.6430 Epoch 9/50 39/39 [==============================] - 0s 742us/step - loss: 0.6343 Epoch 10/50 39/39 [==============================] - 0s 767us/step - loss: 0.6297 Epoch 11/50 39/39 [==============================] - 0s 793us/step - loss: 0.6268 Epoch 12/50 39/39 [==============================] - 0s 767us/step - loss: 0.6233 Epoch 13/50 39/39 [==============================] - 0s 742us/step - loss: 0.6207 Epoch 14/50 39/39 [==============================] - 0s 767us/step - loss: 0.6175 Epoch 15/50 39/39 [==============================] - 0s 793us/step - loss: 0.6143 Epoch 16/50 39/39 [==============================] - 0s 793us/step - loss: 0.6123 Epoch 17/50 39/39 [==============================] - 0s 742us/step - loss: 0.6096 Epoch 18/50 39/39 [==============================] - 0s 818us/step - loss: 0.6076 Epoch 19/50 39/39 [==============================] - 0s 793us/step - loss: 0.6052 Epoch 20/50 39/39 [==============================] - 0s 818us/step - loss: 0.6036 Epoch 21/50 39/39 [==============================] - 0s 742us/step - loss: 0.6020 Epoch 22/50 39/39 [==============================] - 0s 793us/step - loss: 0.5996 Epoch 23/50 39/39 [==============================] - 0s 818us/step - loss: 0.5979 Epoch 24/50 39/39 [==============================] - 0s 793us/step - loss: 0.5966 Epoch 25/50 39/39 [==============================] - 0s 818us/step - loss: 0.5952 Epoch 26/50 39/39 [==============================] - 0s 818us/step - loss: 0.5930 Epoch 27/50 39/39 [==============================] - 0s 818us/step - loss: 0.5914 Epoch 28/50 39/39 [==============================] - 0s 793us/step - loss: 0.5901 Epoch 29/50 39/39 [==============================] - 0s 818us/step - loss: 0.5873 Epoch 30/50 39/39 [==============================] - 0s 793us/step - loss: 0.5882 Epoch 31/50 39/39 [==============================] - 0s 818us/step - loss: 0.5865 Epoch 32/50 39/39 [==============================] - 0s 844us/step - loss: 0.5840 Epoch 33/50 39/39 [==============================] - 0s 793us/step - loss: 0.5838 Epoch 34/50 39/39 [==============================] - 0s 793us/step - loss: 0.5821 Epoch 35/50 39/39 [==============================] - 0s 767us/step - loss: 0.5809 Epoch 36/50 39/39 [==============================] - 0s 793us/step - loss: 0.5796 Epoch 37/50 39/39 [==============================] - 0s 818us/step - loss: 0.5795 Epoch 38/50 39/39 [==============================] - 0s 793us/step - loss: 0.5778 Epoch 39/50 39/39 [==============================] - 0s 818us/step - loss: 0.5768 Epoch 40/50 39/39 [==============================] - 0s 793us/step - loss: 0.5762 Epoch 41/50 39/39 [==============================] - 0s 818us/step - loss: 0.5760 Epoch 42/50 39/39 [==============================] - 0s 895us/step - loss: 0.5739 Epoch 43/50 39/39 [==============================] - 0s 793us/step - loss: 0.5750 Epoch 44/50 39/39 [==============================] - 0s 793us/step - loss: 0.5725 Epoch 45/50 39/39 [==============================] - 0s 767us/step - loss: 0.5737 Epoch 46/50 39/39 [==============================] - 0s 818us/step - loss: 0.5726 Epoch 47/50 39/39 [==============================] - 0s 793us/step - loss: 0.5722 Epoch 48/50 39/39 [==============================] - 0s 818us/step - loss: 0.5710 Epoch 49/50 39/39 [==============================] - 0s 793us/step - loss: 0.5704 Epoch 50/50 39/39 [==============================] - 0s 793us/step - loss: 0.5707 ###################################################################### Accuracy: 71.29462021334723 Epoch 1/100 38/38 [==============================] - 0s 840us/step - loss: 1.0161 Epoch 2/100 38/38 [==============================] - 0s 787us/step - loss: 0.9935 Epoch 3/100 38/38 [==============================] - 0s 814us/step - loss: 0.9413 Epoch 4/100 38/38 [==============================] - 0s 735us/step - loss: 0.8662 Epoch 5/100 38/38 [==============================] - 0s 709us/step - loss: 0.7860 Epoch 6/100 38/38 [==============================] - 0s 735us/step - loss: 0.7254 Epoch 7/100 38/38 [==============================] - 0s 814us/step - loss: 0.6890 Epoch 8/100 38/38 [==============================] - 0s 761us/step - loss: 0.6650 Epoch 9/100 38/38 [==============================] - 0s 761us/step - loss: 0.6505 Epoch 10/100 38/38 [==============================] - 0s 709us/step - loss: 0.6428 Epoch 11/100 38/38 [==============================] - 0s 761us/step - loss: 0.6386 Epoch 12/100 38/38 [==============================] - 0s 735us/step - loss: 0.6350 Epoch 13/100 38/38 [==============================] - 0s 761us/step - loss: 0.6327 Epoch 14/100 38/38 [==============================] - 0s 787us/step - loss: 0.6298 Epoch 15/100 38/38 [==============================] - 0s 787us/step - loss: 0.6278 Epoch 16/100 38/38 [==============================] - 0s 787us/step - loss: 0.6238 Epoch 17/100 38/38 [==============================] - 0s 709us/step - loss: 0.6234 Epoch 18/100 38/38 [==============================] - 0s 709us/step - loss: 0.6218 Epoch 19/100 38/38 [==============================] - 0s 709us/step - loss: 0.6203 Epoch 20/100 38/38 [==============================] - 0s 735us/step - loss: 0.6181 Epoch 21/100 38/38 [==============================] - 0s 735us/step - loss: 0.6165 Epoch 22/100 38/38 [==============================] - 0s 761us/step - loss: 0.6136 Epoch 23/100 38/38 [==============================] - 0s 761us/step - loss: 0.6121 Epoch 24/100 38/38 [==============================] - 0s 761us/step - loss: 0.6096 Epoch 25/100 38/38 [==============================] - 0s 761us/step - loss: 0.6078 Epoch 26/100 38/38 [==============================] - 0s 761us/step - loss: 0.6051 Epoch 27/100 38/38 [==============================] - 0s 709us/step - loss: 0.6041 Epoch 28/100 38/38 [==============================] - 0s 708us/step - loss: 0.6025 Epoch 29/100 38/38 [==============================] - 0s 709us/step - loss: 0.5998 Epoch 30/100 38/38 [==============================] - 0s 761us/step - loss: 0.5980 Epoch 31/100 38/38 [==============================] - 0s 735us/step - loss: 0.5958 Epoch 32/100 38/38 [==============================] - 0s 761us/step - loss: 0.5949 Epoch 33/100 38/38 [==============================] - 0s 814us/step - loss: 0.5929 Epoch 34/100 38/38 [==============================] - 0s 840us/step - loss: 0.5908 Epoch 35/100 38/38 [==============================] - 0s 709us/step - loss: 0.5893 Epoch 36/100 38/38 [==============================] - 0s 761us/step - loss: 0.5874 Epoch 37/100 38/38 [==============================] - 0s 761us/step - loss: 0.5857 Epoch 38/100 38/38 [==============================] - 0s 787us/step - loss: 0.5845 Epoch 39/100 38/38 [==============================] - 0s 656us/step - loss: 0.5821 Epoch 40/100 38/38 [==============================] - 0s 761us/step - loss: 0.5814 Epoch 41/100 38/38 [==============================] - 0s 787us/step - loss: 0.5797 Epoch 42/100 38/38 [==============================] - 0s 787us/step - loss: 0.5782 Epoch 43/100 38/38 [==============================] - 0s 761us/step - loss: 0.5765 Epoch 44/100 38/38 [==============================] - 0s 787us/step - loss: 0.5758 Epoch 45/100 38/38 [==============================] - 0s 787us/step - loss: 0.5755 Epoch 46/100 38/38 [==============================] - 0s 787us/step - loss: 0.5733 Epoch 47/100 38/38 [==============================] - 0s 787us/step - loss: 0.5721 Epoch 48/100 38/38 [==============================] - 0s 814us/step - loss: 0.5709 Epoch 49/100 38/38 [==============================] - 0s 761us/step - loss: 0.5697 Epoch 50/100 38/38 [==============================] - 0s 735us/step - loss: 0.5683 Epoch 51/100 38/38 [==============================] - 0s 709us/step - loss: 0.5663 Epoch 52/100 38/38 [==============================] - 0s 735us/step - loss: 0.5664 Epoch 53/100 38/38 [==============================] - 0s 761us/step - loss: 0.5645 Epoch 54/100 38/38 [==============================] - 0s 787us/step - loss: 0.5633 Epoch 55/100 38/38 [==============================] - 0s 761us/step - loss: 0.5629 Epoch 56/100 38/38 [==============================] - 0s 735us/step - loss: 0.5614 Epoch 57/100 38/38 [==============================] - 0s 761us/step - loss: 0.5607 Epoch 58/100 38/38 [==============================] - 0s 735us/step - loss: 0.5593 Epoch 59/100 38/38 [==============================] - 0s 787us/step - loss: 0.5588 Epoch 60/100 38/38 [==============================] - 0s 682us/step - loss: 0.5574 Epoch 61/100 38/38 [==============================] - 0s 761us/step - loss: 0.5581 Epoch 62/100 38/38 [==============================] - 0s 761us/step - loss: 0.5565 Epoch 63/100 38/38 [==============================] - 0s 761us/step - loss: 0.5563 Epoch 64/100 38/38 [==============================] - 0s 814us/step - loss: 0.5564 Epoch 65/100 38/38 [==============================] - 0s 709us/step - loss: 0.5544 Epoch 66/100 38/38 [==============================] - 0s 735us/step - loss: 0.5544 Epoch 67/100 38/38 [==============================] - 0s 761us/step - loss: 0.5539 Epoch 68/100 38/38 [==============================] - 0s 709us/step - loss: 0.5538 Epoch 69/100 38/38 [==============================] - 0s 761us/step - loss: 0.5535 Epoch 70/100 38/38 [==============================] - 0s 761us/step - loss: 0.5521 Epoch 71/100 38/38 [==============================] - 0s 787us/step - loss: 0.5517 Epoch 72/100 38/38 [==============================] - 0s 761us/step - loss: 0.5512 Epoch 73/100 38/38 [==============================] - 0s 761us/step - loss: 0.5508 Epoch 74/100 38/38 [==============================] - 0s 761us/step - loss: 0.5508 Epoch 75/100 38/38 [==============================] - 0s 787us/step - loss: 0.5496 Epoch 76/100 38/38 [==============================] - 0s 761us/step - loss: 0.5493 Epoch 77/100 38/38 [==============================] - 0s 787us/step - loss: 0.5486 Epoch 78/100 38/38 [==============================] - 0s 814us/step - loss: 0.5481 Epoch 79/100 38/38 [==============================] - 0s 787us/step - loss: 0.5479 Epoch 80/100 38/38 [==============================] - 0s 761us/step - loss: 0.5466 Epoch 81/100 38/38 [==============================] - 0s 761us/step - loss: 0.5453 Epoch 82/100 38/38 [==============================] - 0s 761us/step - loss: 0.5464 Epoch 83/100 38/38 [==============================] - 0s 761us/step - loss: 0.5465 Epoch 84/100 38/38 [==============================] - 0s 682us/step - loss: 0.5457 Epoch 85/100 38/38 [==============================] - 0s 761us/step - loss: 0.5446 Epoch 86/100 38/38 [==============================] - 0s 735us/step - loss: 0.5446 Epoch 87/100 38/38 [==============================] - 0s 735us/step - loss: 0.5435 Epoch 88/100 38/38 [==============================] - 0s 761us/step - loss: 0.5444 Epoch 89/100 38/38 [==============================] - 0s 761us/step - loss: 0.5424 Epoch 90/100 38/38 [==============================] - 0s 682us/step - loss: 0.5430 Epoch 91/100 38/38 [==============================] - 0s 735us/step - loss: 0.5421 Epoch 92/100 38/38 [==============================] - 0s 761us/step - loss: 0.5414 Epoch 93/100 38/38 [==============================] - 0s 761us/step - loss: 0.5411 Epoch 94/100 38/38 [==============================] - 0s 735us/step - loss: 0.5410 Epoch 95/100 38/38 [==============================] - 0s 682us/step - loss: 0.5405 Epoch 96/100 38/38 [==============================] - 0s 814us/step - loss: 0.5398 Epoch 97/100 38/38 [==============================] - 0s 787us/step - loss: 0.5394 Epoch 98/100 38/38 [==============================] - 0s 761us/step - loss: 0.5390 Epoch 99/100 38/38 [==============================] - 0s 761us/step - loss: 0.5376 Epoch 100/100 38/38 [==============================] - 0s 787us/step - loss: 0.5387 ###################################################################### Accuracy: 71.69157308778108 Epoch 1/100 1/39 [..............................] - ETA: 0s - loss: 1.5541WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 946us/step - loss: 0.9842 Epoch 2/100 39/39 [==============================] - 0s 818us/step - loss: 0.9671 Epoch 3/100 39/39 [==============================] - 0s 818us/step - loss: 0.9231 Epoch 4/100 39/39 [==============================] - 0s 793us/step - loss: 0.8582 Epoch 5/100 39/39 [==============================] - 0s 793us/step - loss: 0.7940 Epoch 6/100 39/39 [==============================] - 0s 793us/step - loss: 0.7489 Epoch 7/100 39/39 [==============================] - 0s 767us/step - loss: 0.7109 Epoch 8/100 39/39 [==============================] - 0s 742us/step - loss: 0.6852 Epoch 9/100 39/39 [==============================] - 0s 767us/step - loss: 0.6664 Epoch 10/100 39/39 [==============================] - 0s 767us/step - loss: 0.6516 Epoch 11/100 39/39 [==============================] - 0s 767us/step - loss: 0.6425 Epoch 12/100 39/39 [==============================] - 0s 793us/step - loss: 0.6366 Epoch 13/100 39/39 [==============================] - 0s 716us/step - loss: 0.6326 Epoch 14/100 39/39 [==============================] - 0s 742us/step - loss: 0.6294 Epoch 15/100 39/39 [==============================] - 0s 793us/step - loss: 0.6261 Epoch 16/100 39/39 [==============================] - 0s 742us/step - loss: 0.6234 Epoch 17/100 39/39 [==============================] - 0s 767us/step - loss: 0.6193 Epoch 18/100 39/39 [==============================] - 0s 742us/step - loss: 0.6176 Epoch 19/100 39/39 [==============================] - 0s 793us/step - loss: 0.6144 Epoch 20/100 39/39 [==============================] - 0s 742us/step - loss: 0.6119 Epoch 21/100 39/39 [==============================] - 0s 793us/step - loss: 0.6079 Epoch 22/100 39/39 [==============================] - 0s 716us/step - loss: 0.6076 Epoch 23/100 39/39 [==============================] - 0s 767us/step - loss: 0.6046 Epoch 24/100 39/39 [==============================] - 0s 767us/step - loss: 0.6026 Epoch 25/100 39/39 [==============================] - 0s 716us/step - loss: 0.5999 Epoch 26/100 39/39 [==============================] - 0s 767us/step - loss: 0.5977 Epoch 27/100 39/39 [==============================] - 0s 793us/step - loss: 0.5953 Epoch 28/100 39/39 [==============================] - 0s 742us/step - loss: 0.5940 Epoch 29/100 39/39 [==============================] - 0s 793us/step - loss: 0.5907 Epoch 30/100 39/39 [==============================] - 0s 793us/step - loss: 0.5911 Epoch 31/100 39/39 [==============================] - 0s 767us/step - loss: 0.5893 Epoch 32/100 39/39 [==============================] - 0s 767us/step - loss: 0.5888 Epoch 33/100 39/39 [==============================] - 0s 844us/step - loss: 0.5868 Epoch 34/100 39/39 [==============================] - 0s 793us/step - loss: 0.5864 Epoch 35/100 39/39 [==============================] - 0s 844us/step - loss: 0.5837 Epoch 36/100 39/39 [==============================] - 0s 767us/step - loss: 0.5837 Epoch 37/100 39/39 [==============================] - 0s 767us/step - loss: 0.5831 Epoch 38/100 39/39 [==============================] - 0s 767us/step - loss: 0.5825 Epoch 39/100 39/39 [==============================] - 0s 793us/step - loss: 0.5799 Epoch 40/100 39/39 [==============================] - 0s 767us/step - loss: 0.5805 Epoch 41/100 39/39 [==============================] - 0s 793us/step - loss: 0.5801 Epoch 42/100 39/39 [==============================] - 0s 742us/step - loss: 0.5786 Epoch 43/100 39/39 [==============================] - 0s 793us/step - loss: 0.5782 Epoch 44/100 39/39 [==============================] - 0s 742us/step - loss: 0.5775 Epoch 45/100 39/39 [==============================] - 0s 767us/step - loss: 0.5767 Epoch 46/100 39/39 [==============================] - 0s 767us/step - loss: 0.5759 Epoch 47/100 39/39 [==============================] - 0s 767us/step - loss: 0.5754 Epoch 48/100 39/39 [==============================] - 0s 767us/step - loss: 0.5749 Epoch 49/100 39/39 [==============================] - 0s 818us/step - loss: 0.5732 Epoch 50/100 39/39 [==============================] - 0s 793us/step - loss: 0.5713 Epoch 51/100 39/39 [==============================] - 0s 742us/step - loss: 0.5734 Epoch 52/100 39/39 [==============================] - 0s 818us/step - loss: 0.5713 Epoch 53/100 39/39 [==============================] - 0s 793us/step - loss: 0.5705 Epoch 54/100 39/39 [==============================] - 0s 716us/step - loss: 0.5698 Epoch 55/100 39/39 [==============================] - 0s 793us/step - loss: 0.5688 Epoch 56/100 39/39 [==============================] - 0s 767us/step - loss: 0.5691 Epoch 57/100 39/39 [==============================] - 0s 716us/step - loss: 0.5679 Epoch 58/100 39/39 [==============================] - 0s 767us/step - loss: 0.5675 Epoch 59/100 39/39 [==============================] - 0s 793us/step - loss: 0.5660 Epoch 60/100 39/39 [==============================] - 0s 793us/step - loss: 0.5676 Epoch 61/100 39/39 [==============================] - 0s 767us/step - loss: 0.5662 Epoch 62/100 39/39 [==============================] - 0s 818us/step - loss: 0.5664 Epoch 63/100 39/39 [==============================] - 0s 818us/step - loss: 0.5644 Epoch 64/100 39/39 [==============================] - 0s 793us/step - loss: 0.5657 Epoch 65/100 39/39 [==============================] - 0s 793us/step - loss: 0.5651 Epoch 66/100 39/39 [==============================] - 0s 818us/step - loss: 0.5635 Epoch 67/100 39/39 [==============================] - 0s 793us/step - loss: 0.5642 Epoch 68/100 39/39 [==============================] - 0s 818us/step - loss: 0.5638 Epoch 69/100 39/39 [==============================] - 0s 818us/step - loss: 0.5625 Epoch 70/100 39/39 [==============================] - 0s 793us/step - loss: 0.5615 Epoch 71/100 39/39 [==============================] - 0s 818us/step - loss: 0.5628 Epoch 72/100 39/39 [==============================] - 0s 767us/step - loss: 0.5618 Epoch 73/100 39/39 [==============================] - 0s 818us/step - loss: 0.5617 Epoch 74/100 39/39 [==============================] - 0s 818us/step - loss: 0.5603 Epoch 75/100 39/39 [==============================] - 0s 767us/step - loss: 0.5616 Epoch 76/100 39/39 [==============================] - 0s 742us/step - loss: 0.5606 Epoch 77/100 39/39 [==============================] - 0s 793us/step - loss: 0.5604 Epoch 78/100 39/39 [==============================] - 0s 818us/step - loss: 0.5597 Epoch 79/100 39/39 [==============================] - 0s 818us/step - loss: 0.5590 Epoch 80/100 39/39 [==============================] - 0s 844us/step - loss: 0.5600 Epoch 81/100 39/39 [==============================] - 0s 767us/step - loss: 0.5586 Epoch 82/100 39/39 [==============================] - 0s 869us/step - loss: 0.5594 Epoch 83/100 39/39 [==============================] - 0s 844us/step - loss: 0.5581 Epoch 84/100 39/39 [==============================] - 0s 818us/step - loss: 0.5582 Epoch 85/100 39/39 [==============================] - 0s 844us/step - loss: 0.5573 Epoch 86/100 39/39 [==============================] - 0s 742us/step - loss: 0.5569 Epoch 87/100 39/39 [==============================] - 0s 793us/step - loss: 0.5577 Epoch 88/100 39/39 [==============================] - 0s 793us/step - loss: 0.5567 Epoch 89/100 39/39 [==============================] - 0s 818us/step - loss: 0.5558 Epoch 90/100 39/39 [==============================] - 0s 818us/step - loss: 0.5571 Epoch 91/100 39/39 [==============================] - 0s 921us/step - loss: 0.5561 Epoch 92/100 39/39 [==============================] - 0s 895us/step - loss: 0.5557 Epoch 93/100 39/39 [==============================] - 0s 946us/step - loss: 0.5554 Epoch 94/100 39/39 [==============================] - 0s 895us/step - loss: 0.5548 Epoch 95/100 39/39 [==============================] - 0s 869us/step - loss: 0.5547 Epoch 96/100 39/39 [==============================] - 0s 844us/step - loss: 0.5556 Epoch 97/100 39/39 [==============================] - 0s 921us/step - loss: 0.5548 Epoch 98/100 39/39 [==============================] - 0s 972us/step - loss: 0.5544 Epoch 99/100 39/39 [==============================] - 0s 921us/step - loss: 0.5544 Epoch 100/100 39/39 [==============================] - 0s 946us/step - loss: 0.5546 ###################################################################### Accuracy: 74.1009373390998 Epoch 1/100 1/39 [..............................] - ETA: 0s - loss: 0.9083WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 39/39 [==============================] - 0s 921us/step - loss: 0.9721 Epoch 2/100 39/39 [==============================] - 0s 921us/step - loss: 0.9523 Epoch 3/100 39/39 [==============================] - 0s 869us/step - loss: 0.9069 Epoch 4/100 39/39 [==============================] - 0s 793us/step - loss: 0.8527 Epoch 5/100 39/39 [==============================] - 0s 844us/step - loss: 0.7895 Epoch 6/100 39/39 [==============================] - 0s 793us/step - loss: 0.7329 Epoch 7/100 39/39 [==============================] - 0s 767us/step - loss: 0.6905 Epoch 8/100 39/39 [==============================] - 0s 818us/step - loss: 0.6611 Epoch 9/100 39/39 [==============================] - 0s 818us/step - loss: 0.6421 Epoch 10/100 39/39 [==============================] - 0s 793us/step - loss: 0.6320 Epoch 11/100 39/39 [==============================] - 0s 818us/step - loss: 0.6261 Epoch 12/100 39/39 [==============================] - 0s 818us/step - loss: 0.6216 Epoch 13/100 39/39 [==============================] - 0s 818us/step - loss: 0.6180 Epoch 14/100 39/39 [==============================] - 0s 767us/step - loss: 0.6151 Epoch 15/100 39/39 [==============================] - 0s 818us/step - loss: 0.6132 Epoch 16/100 39/39 [==============================] - 0s 818us/step - loss: 0.6100 Epoch 17/100 39/39 [==============================] - 0s 793us/step - loss: 0.6077 Epoch 18/100 39/39 [==============================] - 0s 818us/step - loss: 0.6066 Epoch 19/100 39/39 [==============================] - 0s 844us/step - loss: 0.6044 Epoch 20/100 39/39 [==============================] - 0s 818us/step - loss: 0.6026 Epoch 21/100 39/39 [==============================] - 0s 767us/step - loss: 0.6003 Epoch 22/100 39/39 [==============================] - 0s 844us/step - loss: 0.5988 Epoch 23/100 39/39 [==============================] - 0s 767us/step - loss: 0.5965 Epoch 24/100 39/39 [==============================] - 0s 742us/step - loss: 0.5940 Epoch 25/100 39/39 [==============================] - 0s 793us/step - loss: 0.5926 Epoch 26/100 39/39 [==============================] - 0s 767us/step - loss: 0.5918 Epoch 27/100 39/39 [==============================] - 0s 793us/step - loss: 0.5894 Epoch 28/100 39/39 [==============================] - 0s 793us/step - loss: 0.5871 Epoch 29/100 39/39 [==============================] - 0s 716us/step - loss: 0.5862 Epoch 30/100 39/39 [==============================] - 0s 818us/step - loss: 0.5837 Epoch 31/100 39/39 [==============================] - 0s 767us/step - loss: 0.5827 Epoch 32/100 39/39 [==============================] - 0s 742us/step - loss: 0.5808 Epoch 33/100 39/39 [==============================] - 0s 767us/step - loss: 0.5795 Epoch 34/100 39/39 [==============================] - 0s 716us/step - loss: 0.5775 Epoch 35/100 39/39 [==============================] - 0s 716us/step - loss: 0.5768 Epoch 36/100 39/39 [==============================] - 0s 767us/step - loss: 0.5759 Epoch 37/100 39/39 [==============================] - 0s 767us/step - loss: 0.5727 Epoch 38/100 39/39 [==============================] - 0s 742us/step - loss: 0.5720 Epoch 39/100 39/39 [==============================] - 0s 767us/step - loss: 0.5710 Epoch 40/100 39/39 [==============================] - 0s 793us/step - loss: 0.5694 Epoch 41/100 39/39 [==============================] - 0s 690us/step - loss: 0.5685 Epoch 42/100 39/39 [==============================] - 0s 818us/step - loss: 0.5675 Epoch 43/100 39/39 [==============================] - 0s 844us/step - loss: 0.5663 Epoch 44/100 39/39 [==============================] - 0s 818us/step - loss: 0.5651 Epoch 45/100 39/39 [==============================] - 0s 767us/step - loss: 0.5634 Epoch 46/100 39/39 [==============================] - 0s 716us/step - loss: 0.5625 Epoch 47/100 39/39 [==============================] - 0s 793us/step - loss: 0.5624 Epoch 48/100 39/39 [==============================] - 0s 767us/step - loss: 0.5620 Epoch 49/100 39/39 [==============================] - 0s 818us/step - loss: 0.5602 Epoch 50/100 39/39 [==============================] - 0s 793us/step - loss: 0.5599 Epoch 51/100 39/39 [==============================] - 0s 767us/step - loss: 0.5597 Epoch 52/100 39/39 [==============================] - 0s 767us/step - loss: 0.5582 Epoch 53/100 39/39 [==============================] - 0s 793us/step - loss: 0.5583 Epoch 54/100 39/39 [==============================] - 0s 793us/step - loss: 0.5570 Epoch 55/100 39/39 [==============================] - 0s 793us/step - loss: 0.5564 Epoch 56/100 39/39 [==============================] - 0s 793us/step - loss: 0.5566 Epoch 57/100 39/39 [==============================] - 0s 767us/step - loss: 0.5553 Epoch 58/100 39/39 [==============================] - 0s 793us/step - loss: 0.5561 Epoch 59/100 39/39 [==============================] - 0s 767us/step - loss: 0.5554 Epoch 60/100 39/39 [==============================] - 0s 742us/step - loss: 0.5551 Epoch 61/100 39/39 [==============================] - 0s 818us/step - loss: 0.5552 Epoch 62/100 39/39 [==============================] - 0s 818us/step - loss: 0.5543 Epoch 63/100 39/39 [==============================] - 0s 844us/step - loss: 0.5535 Epoch 64/100 39/39 [==============================] - 0s 819us/step - loss: 0.5532 Epoch 65/100 39/39 [==============================] - 0s 818us/step - loss: 0.5526 Epoch 66/100 39/39 [==============================] - 0s 767us/step - loss: 0.5508 Epoch 67/100 39/39 [==============================] - 0s 767us/step - loss: 0.5506 Epoch 68/100 39/39 [==============================] - 0s 793us/step - loss: 0.5500 Epoch 69/100 39/39 [==============================] - 0s 844us/step - loss: 0.5513 Epoch 70/100 39/39 [==============================] - 0s 793us/step - loss: 0.5507 Epoch 71/100 39/39 [==============================] - 0s 742us/step - loss: 0.5500 Epoch 72/100 39/39 [==============================] - ETA: 0s - loss: 0.224 - 0s 818us/step - loss: 0.5494 Epoch 73/100 39/39 [==============================] - 0s 793us/step - loss: 0.5491 Epoch 74/100 39/39 [==============================] - 0s 767us/step - loss: 0.5489 Epoch 75/100 39/39 [==============================] - 0s 818us/step - loss: 0.5483 Epoch 76/100 39/39 [==============================] - 0s 793us/step - loss: 0.5482 Epoch 77/100 39/39 [==============================] - 0s 767us/step - loss: 0.5479 Epoch 78/100 39/39 [==============================] - 0s 869us/step - loss: 0.5472 Epoch 79/100 39/39 [==============================] - 0s 793us/step - loss: 0.5459 Epoch 80/100 39/39 [==============================] - 0s 818us/step - loss: 0.5464 Epoch 81/100 39/39 [==============================] - 0s 818us/step - loss: 0.5454 Epoch 82/100 39/39 [==============================] - 0s 818us/step - loss: 0.5473 Epoch 83/100 39/39 [==============================] - 0s 793us/step - loss: 0.5461 Epoch 84/100 39/39 [==============================] - 0s 818us/step - loss: 0.5453 Epoch 85/100 39/39 [==============================] - 0s 742us/step - loss: 0.5453 Epoch 86/100 39/39 [==============================] - 0s 767us/step - loss: 0.5440 Epoch 87/100 39/39 [==============================] - 0s 767us/step - loss: 0.5459 Epoch 88/100 39/39 [==============================] - 0s 767us/step - loss: 0.5455 Epoch 89/100 39/39 [==============================] - 0s 818us/step - loss: 0.5455 Epoch 90/100 39/39 [==============================] - 0s 742us/step - loss: 0.5444 Epoch 91/100 39/39 [==============================] - 0s 767us/step - loss: 0.5438 Epoch 92/100 39/39 [==============================] - 0s 767us/step - loss: 0.5443 Epoch 93/100 39/39 [==============================] - 0s 793us/step - loss: 0.5434 Epoch 94/100 39/39 [==============================] - 0s 767us/step - loss: 0.5443 Epoch 95/100 39/39 [==============================] - 0s 819us/step - loss: 0.5424 Epoch 96/100 39/39 [==============================] - 0s 793us/step - loss: 0.5438 Epoch 97/100 39/39 [==============================] - 0s 793us/step - loss: 0.5431 Epoch 98/100 39/39 [==============================] - 0s 818us/step - loss: 0.5428 Epoch 99/100 39/39 [==============================] - 0s 793us/step - loss: 0.5411 Epoch 100/100 39/39 [==============================] - 0s 742us/step - loss: 0.5424 ###################################################################### Accuracy: 88.34632599474114 Epoch 1/100 39/39 [==============================] - 0s 895us/step - loss: 1.0139 Epoch 2/100 39/39 [==============================] - 0s 895us/step - loss: 0.9909 Epoch 3/100 39/39 [==============================] - 0s 869us/step - loss: 0.9452 Epoch 4/100 39/39 [==============================] - 0s 767us/step - loss: 0.8817 Epoch 5/100 39/39 [==============================] - 0s 767us/step - loss: 0.8144 Epoch 6/100 39/39 [==============================] - 0s 793us/step - loss: 0.7542 Epoch 7/100 39/39 [==============================] - 0s 818us/step - loss: 0.7064 Epoch 8/100 39/39 [==============================] - 0s 742us/step - loss: 0.6761 Epoch 9/100 39/39 [==============================] - 0s 793us/step - loss: 0.6598 Epoch 10/100 39/39 [==============================] - 0s 767us/step - loss: 0.6514 Epoch 11/100 39/39 [==============================] - 0s 793us/step - loss: 0.6462 Epoch 12/100 39/39 [==============================] - 0s 793us/step - loss: 0.6428 Epoch 13/100 39/39 [==============================] - 0s 793us/step - loss: 0.6401 Epoch 14/100 39/39 [==============================] - 0s 793us/step - loss: 0.6374 Epoch 15/100 39/39 [==============================] - 0s 742us/step - loss: 0.6357 Epoch 16/100 39/39 [==============================] - 0s 767us/step - loss: 0.6334 Epoch 17/100 39/39 [==============================] - 0s 818us/step - loss: 0.6316 Epoch 18/100 39/39 [==============================] - 0s 767us/step - loss: 0.6289 Epoch 19/100 39/39 [==============================] - 0s 767us/step - loss: 0.6280 Epoch 20/100 39/39 [==============================] - 0s 818us/step - loss: 0.6254 Epoch 21/100 39/39 [==============================] - 0s 767us/step - loss: 0.6244 Epoch 22/100 39/39 [==============================] - 0s 767us/step - loss: 0.6218 Epoch 23/100 39/39 [==============================] - 0s 793us/step - loss: 0.6207 Epoch 24/100 39/39 [==============================] - 0s 818us/step - loss: 0.6188 Epoch 25/100 39/39 [==============================] - 0s 767us/step - loss: 0.6192 Epoch 26/100 39/39 [==============================] - 0s 742us/step - loss: 0.6163 Epoch 27/100 39/39 [==============================] - 0s 793us/step - loss: 0.6159 Epoch 28/100 39/39 [==============================] - 0s 690us/step - loss: 0.6146 Epoch 29/100 39/39 [==============================] - 0s 793us/step - loss: 0.6136 Epoch 30/100 39/39 [==============================] - 0s 793us/step - loss: 0.6116 Epoch 31/100 39/39 [==============================] - 0s 793us/step - loss: 0.6127 Epoch 32/100 39/39 [==============================] - 0s 767us/step - loss: 0.6105 Epoch 33/100 39/39 [==============================] - 0s 793us/step - loss: 0.6099 Epoch 34/100 39/39 [==============================] - 0s 793us/step - loss: 0.6078 Epoch 35/100 39/39 [==============================] - 0s 767us/step - loss: 0.6081 Epoch 36/100 39/39 [==============================] - 0s 767us/step - loss: 0.6064 Epoch 37/100 39/39 [==============================] - 0s 793us/step - loss: 0.6063 Epoch 38/100 39/39 [==============================] - 0s 767us/step - loss: 0.6046 Epoch 39/100 39/39 [==============================] - 0s 767us/step - loss: 0.6054 Epoch 40/100 39/39 [==============================] - 0s 742us/step - loss: 0.6039 Epoch 41/100 39/39 [==============================] - 0s 742us/step - loss: 0.6029 Epoch 42/100 39/39 [==============================] - 0s 767us/step - loss: 0.6035 Epoch 43/100 39/39 [==============================] - 0s 1ms/step - loss: 0.6010 Epoch 44/100 39/39 [==============================] - 0s 972us/step - loss: 0.6018 Epoch 45/100 39/39 [==============================] - 0s 972us/step - loss: 0.6007 Epoch 46/100 39/39 [==============================] - 0s 767us/step - loss: 0.6000 Epoch 47/100 39/39 [==============================] - 0s 767us/step - loss: 0.6008 Epoch 48/100 39/39 [==============================] - 0s 1ms/step - loss: 0.5980 Epoch 49/100 39/39 [==============================] - 0s 793us/step - loss: 0.5991 Epoch 50/100 39/39 [==============================] - 0s 793us/step - loss: 0.5982 Epoch 51/100 39/39 [==============================] - 0s 793us/step - loss: 0.5980 Epoch 52/100 39/39 [==============================] - 0s 767us/step - loss: 0.5969 Epoch 53/100 39/39 [==============================] - 0s 818us/step - loss: 0.5963 Epoch 54/100 39/39 [==============================] - 0s 793us/step - loss: 0.5957 Epoch 55/100 39/39 [==============================] - 0s 793us/step - loss: 0.5961 Epoch 56/100 39/39 [==============================] - 0s 767us/step - loss: 0.5948 Epoch 57/100 39/39 [==============================] - 0s 793us/step - loss: 0.5947 Epoch 58/100 39/39 [==============================] - 0s 742us/step - loss: 0.5934 Epoch 59/100 39/39 [==============================] - 0s 818us/step - loss: 0.5945 Epoch 60/100 39/39 [==============================] - 0s 767us/step - loss: 0.5922 Epoch 61/100 39/39 [==============================] - 0s 818us/step - loss: 0.5930 Epoch 62/100 39/39 [==============================] - 0s 793us/step - loss: 0.5930 Epoch 63/100 39/39 [==============================] - 0s 793us/step - loss: 0.5908 Epoch 64/100 39/39 [==============================] - 0s 793us/step - loss: 0.5907 Epoch 65/100 39/39 [==============================] - 0s 793us/step - loss: 0.5903 Epoch 66/100 39/39 [==============================] - 0s 818us/step - loss: 0.5901 Epoch 67/100 39/39 [==============================] - 0s 793us/step - loss: 0.5900 Epoch 68/100 39/39 [==============================] - 0s 742us/step - loss: 0.5888 Epoch 69/100 39/39 [==============================] - 0s 793us/step - loss: 0.5890 Epoch 70/100 39/39 [==============================] - 0s 793us/step - loss: 0.5884 Epoch 71/100 39/39 [==============================] - 0s 767us/step - loss: 0.5867 Epoch 72/100 39/39 [==============================] - 0s 793us/step - loss: 0.5877 Epoch 73/100 39/39 [==============================] - 0s 793us/step - loss: 0.5873 Epoch 74/100 39/39 [==============================] - 0s 793us/step - loss: 0.5864 Epoch 75/100 39/39 [==============================] - 0s 742us/step - loss: 0.5856 Epoch 76/100 39/39 [==============================] - 0s 767us/step - loss: 0.5848 Epoch 77/100 39/39 [==============================] - 0s 818us/step - loss: 0.5844 Epoch 78/100 39/39 [==============================] - 0s 793us/step - loss: 0.5836 Epoch 79/100 39/39 [==============================] - 0s 767us/step - loss: 0.5840 Epoch 80/100 39/39 [==============================] - 0s 793us/step - loss: 0.5837 Epoch 81/100 39/39 [==============================] - 0s 767us/step - loss: 0.5831 Epoch 82/100 39/39 [==============================] - 0s 818us/step - loss: 0.5810 Epoch 83/100 39/39 [==============================] - 0s 793us/step - loss: 0.5816 Epoch 84/100 39/39 [==============================] - 0s 742us/step - loss: 0.5810 Epoch 85/100 39/39 [==============================] - 0s 793us/step - loss: 0.5807 Epoch 86/100 39/39 [==============================] - 0s 793us/step - loss: 0.5796 Epoch 87/100 39/39 [==============================] - 0s 793us/step - loss: 0.5798 Epoch 88/100 39/39 [==============================] - 0s 793us/step - loss: 0.5795 Epoch 89/100 39/39 [==============================] - 0s 767us/step - loss: 0.5786 Epoch 90/100 39/39 [==============================] - 0s 793us/step - loss: 0.5783 Epoch 91/100 39/39 [==============================] - 0s 818us/step - loss: 0.5777 Epoch 92/100 39/39 [==============================] - 0s 742us/step - loss: 0.5768 Epoch 93/100 39/39 [==============================] - 0s 793us/step - loss: 0.5765 Epoch 94/100 39/39 [==============================] - 0s 793us/step - loss: 0.5761 Epoch 95/100 39/39 [==============================] - 0s 793us/step - loss: 0.5758 Epoch 96/100 39/39 [==============================] - 0s 793us/step - loss: 0.5745 Epoch 97/100 39/39 [==============================] - 0s 793us/step - loss: 0.5752 Epoch 98/100 39/39 [==============================] - 0s 767us/step - loss: 0.5749 Epoch 99/100 39/39 [==============================] - 0s 767us/step - loss: 0.5736 Epoch 100/100 39/39 [==============================] - 0s 716us/step - loss: 0.5733 ###################################################################### Accuracy: 73.65440067114386 Epoch 1/100 39/39 [==============================] - 0s 844us/step - loss: 1.0008 Epoch 2/100 39/39 [==============================] - 0s 844us/step - loss: 0.9897 Epoch 3/100 39/39 [==============================] - 0s 879us/step - loss: 0.9604 Epoch 4/100 39/39 [==============================] - 0s 742us/step - loss: 0.9127 Epoch 5/100 39/39 [==============================] - 0s 742us/step - loss: 0.8548 Epoch 6/100 39/39 [==============================] - 0s 767us/step - loss: 0.7885 Epoch 7/100 39/39 [==============================] - 0s 767us/step - loss: 0.7300 Epoch 8/100 39/39 [==============================] - 0s 767us/step - loss: 0.6858 Epoch 9/100 39/39 [==============================] - 0s 716us/step - loss: 0.6590 Epoch 10/100 39/39 [==============================] - 0s 767us/step - loss: 0.6442 Epoch 11/100 39/39 [==============================] - 0s 793us/step - loss: 0.6351 Epoch 12/100 39/39 [==============================] - 0s 767us/step - loss: 0.6302 Epoch 13/100 39/39 [==============================] - 0s 793us/step - loss: 0.6261 Epoch 14/100 39/39 [==============================] - 0s 793us/step - loss: 0.6218 Epoch 15/100 39/39 [==============================] - 0s 716us/step - loss: 0.6203 Epoch 16/100 39/39 [==============================] - 0s 767us/step - loss: 0.6167 Epoch 17/100 39/39 [==============================] - 0s 818us/step - loss: 0.6150 Epoch 18/100 39/39 [==============================] - 0s 844us/step - loss: 0.6122 Epoch 19/100 39/39 [==============================] - 0s 793us/step - loss: 0.6086 Epoch 20/100 39/39 [==============================] - 0s 818us/step - loss: 0.6083 Epoch 21/100 39/39 [==============================] - 0s 793us/step - loss: 0.6052 Epoch 22/100 39/39 [==============================] - 0s 767us/step - loss: 0.6030 Epoch 23/100 39/39 [==============================] - 0s 767us/step - loss: 0.6017 Epoch 24/100 39/39 [==============================] - 0s 716us/step - loss: 0.5993 Epoch 25/100 39/39 [==============================] - 0s 793us/step - loss: 0.5973 Epoch 26/100 39/39 [==============================] - 0s 767us/step - loss: 0.5960 Epoch 27/100 39/39 [==============================] - 0s 818us/step - loss: 0.5949 Epoch 28/100 39/39 [==============================] - 0s 767us/step - loss: 0.5928 Epoch 29/100 39/39 [==============================] - 0s 767us/step - loss: 0.5920 Epoch 30/100 39/39 [==============================] - 0s 793us/step - loss: 0.5899 Epoch 31/100 39/39 [==============================] - 0s 818us/step - loss: 0.5890 Epoch 32/100 39/39 [==============================] - 0s 844us/step - loss: 0.5871 Epoch 33/100 39/39 [==============================] - 0s 793us/step - loss: 0.5867 Epoch 34/100 39/39 [==============================] - 0s 767us/step - loss: 0.5844 Epoch 35/100 39/39 [==============================] - 0s 793us/step - loss: 0.5829 Epoch 36/100 39/39 [==============================] - 0s 742us/step - loss: 0.5832 Epoch 37/100 39/39 [==============================] - 0s 742us/step - loss: 0.5826 Epoch 38/100 39/39 [==============================] - 0s 767us/step - loss: 0.5822 Epoch 39/100 39/39 [==============================] - 0s 793us/step - loss: 0.5794 Epoch 40/100 39/39 [==============================] - 0s 793us/step - loss: 0.5808 Epoch 41/100 39/39 [==============================] - 0s 793us/step - loss: 0.5803 Epoch 42/100 39/39 [==============================] - 0s 793us/step - loss: 0.5785 Epoch 43/100 39/39 [==============================] - 0s 742us/step - loss: 0.5784 Epoch 44/100 39/39 [==============================] - 0s 818us/step - loss: 0.5771 Epoch 45/100 39/39 [==============================] - 0s 716us/step - loss: 0.5776 Epoch 46/100 39/39 [==============================] - 0s 767us/step - loss: 0.5771 Epoch 47/100 39/39 [==============================] - 0s 818us/step - loss: 0.5774 Epoch 48/100 39/39 [==============================] - 0s 793us/step - loss: 0.5758 Epoch 49/100 39/39 [==============================] - 0s 742us/step - loss: 0.5748 Epoch 50/100 39/39 [==============================] - 0s 716us/step - loss: 0.5744 Epoch 51/100 39/39 [==============================] - 0s 818us/step - loss: 0.5741 Epoch 52/100 39/39 [==============================] - 0s 818us/step - loss: 0.5740 Epoch 53/100 39/39 [==============================] - 0s 818us/step - loss: 0.5732 Epoch 54/100 39/39 [==============================] - 0s 818us/step - loss: 0.5728 Epoch 55/100 39/39 [==============================] - 0s 793us/step - loss: 0.5725 Epoch 56/100 39/39 [==============================] - 0s 793us/step - loss: 0.5717 Epoch 57/100 39/39 [==============================] - 0s 793us/step - loss: 0.5713 Epoch 58/100 39/39 [==============================] - 0s 793us/step - loss: 0.5714 Epoch 59/100 39/39 [==============================] - 0s 793us/step - loss: 0.5710 Epoch 60/100 39/39 [==============================] - 0s 844us/step - loss: 0.5710 Epoch 61/100 39/39 [==============================] - 0s 844us/step - loss: 0.5709 Epoch 62/100 39/39 [==============================] - 0s 818us/step - loss: 0.5712 Epoch 63/100 39/39 [==============================] - 0s 818us/step - loss: 0.5697 Epoch 64/100 39/39 [==============================] - 0s 844us/step - loss: 0.5685 Epoch 65/100 39/39 [==============================] - 0s 818us/step - loss: 0.5689 Epoch 66/100 39/39 [==============================] - 0s 767us/step - loss: 0.5686 Epoch 67/100 39/39 [==============================] - 0s 742us/step - loss: 0.5677 Epoch 68/100 39/39 [==============================] - 0s 742us/step - loss: 0.5678 Epoch 69/100 39/39 [==============================] - 0s 742us/step - loss: 0.5670 Epoch 70/100 39/39 [==============================] - 0s 793us/step - loss: 0.5662 Epoch 71/100 39/39 [==============================] - 0s 844us/step - loss: 0.5668 Epoch 72/100 39/39 [==============================] - 0s 793us/step - loss: 0.5667 Epoch 73/100 39/39 [==============================] - 0s 767us/step - loss: 0.5660 Epoch 74/100 39/39 [==============================] - 0s 818us/step - loss: 0.5656 Epoch 75/100 39/39 [==============================] - 0s 818us/step - loss: 0.5653 Epoch 76/100 39/39 [==============================] - 0s 818us/step - loss: 0.5648 Epoch 77/100 39/39 [==============================] - 0s 844us/step - loss: 0.5655 Epoch 78/100 39/39 [==============================] - 0s 818us/step - loss: 0.5633 Epoch 79/100 39/39 [==============================] - 0s 869us/step - loss: 0.5643 Epoch 80/100 39/39 [==============================] - 0s 767us/step - loss: 0.5635 Epoch 81/100 39/39 [==============================] - 0s 742us/step - loss: 0.5618 Epoch 82/100 39/39 [==============================] - 0s 742us/step - loss: 0.5644 Epoch 83/100 39/39 [==============================] - 0s 793us/step - loss: 0.5638 Epoch 84/100 39/39 [==============================] - 0s 818us/step - loss: 0.5605 Epoch 85/100 39/39 [==============================] - 0s 793us/step - loss: 0.5618 Epoch 86/100 39/39 [==============================] - 0s 767us/step - loss: 0.5612 Epoch 87/100 39/39 [==============================] - 0s 818us/step - loss: 0.5617 Epoch 88/100 39/39 [==============================] - 0s 767us/step - loss: 0.5612 Epoch 89/100 39/39 [==============================] - 0s 844us/step - loss: 0.5610 Epoch 90/100 39/39 [==============================] - 0s 818us/step - loss: 0.5605 Epoch 91/100 39/39 [==============================] - 0s 793us/step - loss: 0.5596 Epoch 92/100 39/39 [==============================] - 0s 742us/step - loss: 0.5593 Epoch 93/100 39/39 [==============================] - 0s 793us/step - loss: 0.5597 Epoch 94/100 39/39 [==============================] - 0s 793us/step - loss: 0.5582 Epoch 95/100 39/39 [==============================] - 0s 742us/step - loss: 0.5589 Epoch 96/100 39/39 [==============================] - 0s 793us/step - loss: 0.5580 Epoch 97/100 39/39 [==============================] - 0s 818us/step - loss: 0.5577 Epoch 98/100 39/39 [==============================] - 0s 818us/step - loss: 0.5571 Epoch 99/100 39/39 [==============================] - 0s 742us/step - loss: 0.5554 Epoch 100/100 39/39 [==============================] - 0s 844us/step - loss: 0.5537 ###################################################################### Accuracy: 72.06877785619272 Epoch 1/150 38/38 [==============================] - 0s 866us/step - loss: 1.0121 Epoch 2/150 38/38 [==============================] - 0s 787us/step - loss: 0.9828 Epoch 3/150 38/38 [==============================] - 0s 787us/step - loss: 0.9311 Epoch 4/150 38/38 [==============================] - 0s 709us/step - loss: 0.8667 Epoch 5/150 38/38 [==============================] - 0s 761us/step - loss: 0.8039 Epoch 6/150 38/38 [==============================] - 0s 761us/step - loss: 0.7509 Epoch 7/150 38/38 [==============================] - 0s 787us/step - loss: 0.7088 Epoch 8/150 38/38 [==============================] - 0s 787us/step - loss: 0.6779 Epoch 9/150 38/38 [==============================] - 0s 787us/step - loss: 0.6558 Epoch 10/150 38/38 [==============================] - 0s 761us/step - loss: 0.6420 Epoch 11/150 38/38 [==============================] - 0s 814us/step - loss: 0.6319 Epoch 12/150 38/38 [==============================] - 0s 787us/step - loss: 0.6246 Epoch 13/150 38/38 [==============================] - 0s 761us/step - loss: 0.6204 Epoch 14/150 38/38 [==============================] - 0s 787us/step - loss: 0.6163 Epoch 15/150 38/38 [==============================] - 0s 761us/step - loss: 0.6122 Epoch 16/150 38/38 [==============================] - 0s 787us/step - loss: 0.6093 Epoch 17/150 38/38 [==============================] - 0s 761us/step - loss: 0.6060 Epoch 18/150 38/38 [==============================] - 0s 761us/step - loss: 0.6024 Epoch 19/150 38/38 [==============================] - 0s 814us/step - loss: 0.5997 Epoch 20/150 38/38 [==============================] - 0s 866us/step - loss: 0.5959 Epoch 21/150 38/38 [==============================] - 0s 761us/step - loss: 0.5934 Epoch 22/150 38/38 [==============================] - 0s 761us/step - loss: 0.5911 Epoch 23/150 38/38 [==============================] - 0s 709us/step - loss: 0.5882 Epoch 24/150 38/38 [==============================] - 0s 761us/step - loss: 0.5857 Epoch 25/150 38/38 [==============================] - 0s 761us/step - loss: 0.5825 Epoch 26/150 38/38 [==============================] - 0s 735us/step - loss: 0.5802 Epoch 27/150 38/38 [==============================] - 0s 682us/step - loss: 0.5791 Epoch 28/150 38/38 [==============================] - 0s 761us/step - loss: 0.5777 Epoch 29/150 38/38 [==============================] - 0s 709us/step - loss: 0.5753 Epoch 30/150 38/38 [==============================] - 0s 682us/step - loss: 0.5749 Epoch 31/150 38/38 [==============================] - 0s 761us/step - loss: 0.5723 Epoch 32/150 38/38 [==============================] - 0s 682us/step - loss: 0.5714 Epoch 33/150 38/38 [==============================] - 0s 735us/step - loss: 0.5690 Epoch 34/150 38/38 [==============================] - 0s 761us/step - loss: 0.5692 Epoch 35/150 38/38 [==============================] - 0s 761us/step - loss: 0.5672 Epoch 36/150 38/38 [==============================] - 0s 787us/step - loss: 0.5662 Epoch 37/150 38/38 [==============================] - 0s 735us/step - loss: 0.5656 Epoch 38/150 38/38 [==============================] - 0s 787us/step - loss: 0.5633 Epoch 39/150 38/38 [==============================] - 0s 709us/step - loss: 0.5630 Epoch 40/150 38/38 [==============================] - 0s 682us/step - loss: 0.5621 Epoch 41/150 38/38 [==============================] - 0s 787us/step - loss: 0.5598 Epoch 42/150 38/38 [==============================] - 0s 735us/step - loss: 0.5593 Epoch 43/150 38/38 [==============================] - 0s 709us/step - loss: 0.5587 Epoch 44/150 38/38 [==============================] - 0s 735us/step - loss: 0.5568 Epoch 45/150 38/38 [==============================] - 0s 761us/step - loss: 0.5571 Epoch 46/150 38/38 [==============================] - 0s 761us/step - loss: 0.5546 Epoch 47/150 38/38 [==============================] - 0s 735us/step - loss: 0.5546 Epoch 48/150 38/38 [==============================] - 0s 761us/step - loss: 0.5535 Epoch 49/150 38/38 [==============================] - 0s 735us/step - loss: 0.5532 Epoch 50/150 38/38 [==============================] - 0s 787us/step - loss: 0.5518 Epoch 51/150 38/38 [==============================] - 0s 761us/step - loss: 0.5513 Epoch 52/150 38/38 [==============================] - 0s 735us/step - loss: 0.5506 Epoch 53/150 38/38 [==============================] - 0s 761us/step - loss: 0.5487 Epoch 54/150 38/38 [==============================] - 0s 761us/step - loss: 0.5472 Epoch 55/150 38/38 [==============================] - 0s 787us/step - loss: 0.5478 Epoch 56/150 38/38 [==============================] - 0s 761us/step - loss: 0.5478 Epoch 57/150 38/38 [==============================] - 0s 787us/step - loss: 0.5464 Epoch 58/150 38/38 [==============================] - 0s 787us/step - loss: 0.5463 Epoch 59/150 38/38 [==============================] - 0s 761us/step - loss: 0.5453 Epoch 60/150 38/38 [==============================] - 0s 787us/step - loss: 0.5453 Epoch 61/150 38/38 [==============================] - 0s 814us/step - loss: 0.5429 Epoch 62/150 38/38 [==============================] - 0s 761us/step - loss: 0.5437 Epoch 63/150 38/38 [==============================] - 0s 787us/step - loss: 0.5426 Epoch 64/150 38/38 [==============================] - 0s 787us/step - loss: 0.5426 Epoch 65/150 38/38 [==============================] - 0s 709us/step - loss: 0.5417 Epoch 66/150 38/38 [==============================] - 0s 735us/step - loss: 0.5412 Epoch 67/150 38/38 [==============================] - 0s 735us/step - loss: 0.5409 Epoch 68/150 38/38 [==============================] - 0s 761us/step - loss: 0.5398 Epoch 69/150 38/38 [==============================] - 0s 762us/step - loss: 0.5407 Epoch 70/150 38/38 [==============================] - 0s 709us/step - loss: 0.5395 Epoch 71/150 38/38 [==============================] - 0s 761us/step - loss: 0.5402 Epoch 72/150 38/38 [==============================] - 0s 814us/step - loss: 0.5381 Epoch 73/150 38/38 [==============================] - 0s 814us/step - loss: 0.5380 Epoch 74/150 38/38 [==============================] - 0s 787us/step - loss: 0.5383 Epoch 75/150 38/38 [==============================] - 0s 761us/step - loss: 0.5381 Epoch 76/150 38/38 [==============================] - 0s 787us/step - loss: 0.5369 Epoch 77/150 38/38 [==============================] - 0s 787us/step - loss: 0.5369 Epoch 78/150 38/38 [==============================] - 0s 787us/step - loss: 0.5364 Epoch 79/150 38/38 [==============================] - 0s 814us/step - loss: 0.5358 Epoch 80/150 38/38 [==============================] - 0s 761us/step - loss: 0.5353 Epoch 81/150 38/38 [==============================] - 0s 787us/step - loss: 0.5367 Epoch 82/150 38/38 [==============================] - 0s 761us/step - loss: 0.5350 Epoch 83/150 38/38 [==============================] - 0s 761us/step - loss: 0.5347 Epoch 84/150 38/38 [==============================] - 0s 682us/step - loss: 0.5353 Epoch 85/150 38/38 [==============================] - 0s 735us/step - loss: 0.5339 Epoch 86/150 38/38 [==============================] - 0s 709us/step - loss: 0.5349 Epoch 87/150 38/38 [==============================] - 0s 735us/step - loss: 0.5339 Epoch 88/150 38/38 [==============================] - 0s 761us/step - loss: 0.5347 Epoch 89/150 38/38 [==============================] - 0s 787us/step - loss: 0.5337 Epoch 90/150 38/38 [==============================] - 0s 787us/step - loss: 0.5333 Epoch 91/150 38/38 [==============================] - 0s 682us/step - loss: 0.5341 Epoch 92/150 38/38 [==============================] - 0s 735us/step - loss: 0.5315 Epoch 93/150 38/38 [==============================] - 0s 709us/step - loss: 0.5329 Epoch 94/150 38/38 [==============================] - 0s 761us/step - loss: 0.5333 Epoch 95/150 38/38 [==============================] - 0s 761us/step - loss: 0.5311 Epoch 96/150 38/38 [==============================] - 0s 735us/step - loss: 0.5318 Epoch 97/150 38/38 [==============================] - 0s 761us/step - loss: 0.5320 Epoch 98/150 38/38 [==============================] - 0s 761us/step - loss: 0.5311 Epoch 99/150 38/38 [==============================] - 0s 735us/step - loss: 0.5318 Epoch 100/150 38/38 [==============================] - 0s 709us/step - loss: 0.5313 Epoch 101/150 38/38 [==============================] - 0s 787us/step - loss: 0.5311 Epoch 102/150 38/38 [==============================] - 0s 787us/step - loss: 0.5308 Epoch 103/150 38/38 [==============================] - 0s 761us/step - loss: 0.5311 Epoch 104/150 38/38 [==============================] - 0s 787us/step - loss: 0.5302 Epoch 105/150 38/38 [==============================] - 0s 787us/step - loss: 0.5308 Epoch 106/150 38/38 [==============================] - 0s 814us/step - loss: 0.5287 Epoch 107/150 38/38 [==============================] - 0s 761us/step - loss: 0.5301 Epoch 108/150 38/38 [==============================] - 0s 709us/step - loss: 0.5291 Epoch 109/150 38/38 [==============================] - 0s 787us/step - loss: 0.5294 Epoch 110/150 38/38 [==============================] - 0s 787us/step - loss: 0.5293 Epoch 111/150 38/38 [==============================] - 0s 787us/step - loss: 0.5287 Epoch 112/150 38/38 [==============================] - 0s 787us/step - loss: 0.5287 Epoch 113/150 38/38 [==============================] - 0s 761us/step - loss: 0.5286 Epoch 114/150 38/38 [==============================] - 0s 814us/step - loss: 0.5291 Epoch 115/150 38/38 [==============================] - 0s 761us/step - loss: 0.5280 Epoch 116/150 38/38 [==============================] - 0s 787us/step - loss: 0.5268 Epoch 117/150 38/38 [==============================] - 0s 761us/step - loss: 0.5271 Epoch 118/150 38/38 [==============================] - 0s 787us/step - loss: 0.5273 Epoch 119/150 38/38 [==============================] - 0s 761us/step - loss: 0.5262 Epoch 120/150 38/38 [==============================] - 0s 787us/step - loss: 0.5272 Epoch 121/150 38/38 [==============================] - 0s 787us/step - loss: 0.5271 Epoch 122/150 38/38 [==============================] - 0s 814us/step - loss: 0.5263 Epoch 123/150 38/38 [==============================] - 0s 735us/step - loss: 0.5255 Epoch 124/150 38/38 [==============================] - 0s 682us/step - loss: 0.5269 Epoch 125/150 38/38 [==============================] - 0s 735us/step - loss: 0.5255 Epoch 126/150 38/38 [==============================] - 0s 735us/step - loss: 0.5257 Epoch 127/150 38/38 [==============================] - 0s 761us/step - loss: 0.5256 Epoch 128/150 38/38 [==============================] - 0s 735us/step - loss: 0.5254 Epoch 129/150 38/38 [==============================] - 0s 735us/step - loss: 0.5259 Epoch 130/150 38/38 [==============================] - 0s 761us/step - loss: 0.5245 Epoch 131/150 38/38 [==============================] - 0s 761us/step - loss: 0.5237 Epoch 132/150 38/38 [==============================] - 0s 761us/step - loss: 0.5249 Epoch 133/150 38/38 [==============================] - 0s 787us/step - loss: 0.5245 Epoch 134/150 38/38 [==============================] - 0s 814us/step - loss: 0.5229 Epoch 135/150 38/38 [==============================] - 0s 761us/step - loss: 0.5248 Epoch 136/150 38/38 [==============================] - 0s 761us/step - loss: 0.5240 Epoch 137/150 38/38 [==============================] - 0s 709us/step - loss: 0.5235 Epoch 138/150 38/38 [==============================] - 0s 761us/step - loss: 0.5238 Epoch 139/150 38/38 [==============================] - 0s 761us/step - loss: 0.5231 Epoch 140/150 38/38 [==============================] - 0s 735us/step - loss: 0.5226 Epoch 141/150 38/38 [==============================] - 0s 709us/step - loss: 0.5212 Epoch 142/150 38/38 [==============================] - 0s 735us/step - loss: 0.5228 Epoch 143/150 38/38 [==============================] - 0s 735us/step - loss: 0.5234 Epoch 144/150 38/38 [==============================] - 0s 735us/step - loss: 0.5223 Epoch 145/150 38/38 [==============================] - 0s 761us/step - loss: 0.5227 Epoch 146/150 38/38 [==============================] - 0s 761us/step - loss: 0.5216 Epoch 147/150 38/38 [==============================] - 0s 761us/step - loss: 0.5202 Epoch 148/150 38/38 [==============================] - 0s 761us/step - loss: 0.5202 Epoch 149/150 38/38 [==============================] - 0s 787us/step - loss: 0.5215 Epoch 150/150 38/38 [==============================] - 0s 814us/step - loss: 0.5199 ###################################################################### Accuracy: 69.01935398785852 Epoch 1/150 39/39 [==============================] - 0s 895us/step - loss: 0.9841 Epoch 2/150 39/39 [==============================] - 0s 793us/step - loss: 0.9705 Epoch 3/150 39/39 [==============================] - 0s 793us/step - loss: 0.9397 Epoch 4/150 39/39 [==============================] - 0s 767us/step - loss: 0.8887 Epoch 5/150 39/39 [==============================] - 0s 818us/step - loss: 0.8221 Epoch 6/150 39/39 [==============================] - 0s 818us/step - loss: 0.7599 Epoch 7/150 39/39 [==============================] - 0s 818us/step - loss: 0.7158 Epoch 8/150 39/39 [==============================] - 0s 818us/step - loss: 0.6834 Epoch 9/150 39/39 [==============================] - 0s 793us/step - loss: 0.6680 Epoch 10/150 39/39 [==============================] - 0s 844us/step - loss: 0.6565 Epoch 11/150 39/39 [==============================] - 0s 818us/step - loss: 0.6491 Epoch 12/150 39/39 [==============================] - 0s 818us/step - loss: 0.6464 Epoch 13/150 39/39 [==============================] - 0s 793us/step - loss: 0.6434 Epoch 14/150 39/39 [==============================] - 0s 793us/step - loss: 0.6408 Epoch 15/150 39/39 [==============================] - 0s 793us/step - loss: 0.6381 Epoch 16/150 39/39 [==============================] - 0s 767us/step - loss: 0.6373 Epoch 17/150 39/39 [==============================] - 0s 742us/step - loss: 0.6354 Epoch 18/150 39/39 [==============================] - 0s 793us/step - loss: 0.6336 Epoch 19/150 39/39 [==============================] - 0s 716us/step - loss: 0.6326 Epoch 20/150 39/39 [==============================] - 0s 742us/step - loss: 0.6312 Epoch 21/150 39/39 [==============================] - 0s 793us/step - loss: 0.6295 Epoch 22/150 39/39 [==============================] - 0s 793us/step - loss: 0.6287 Epoch 23/150 39/39 [==============================] - 0s 818us/step - loss: 0.6272 Epoch 24/150 39/39 [==============================] - 0s 793us/step - loss: 0.6246 Epoch 25/150 39/39 [==============================] - 0s 844us/step - loss: 0.6239 Epoch 26/150 39/39 [==============================] - 0s 818us/step - loss: 0.6228 Epoch 27/150 39/39 [==============================] - ETA: 0s - loss: 0.439 - 0s 844us/step - loss: 0.6212 Epoch 28/150 39/39 [==============================] - 0s 819us/step - loss: 0.6197 Epoch 29/150 39/39 [==============================] - 0s 818us/step - loss: 0.6181 Epoch 30/150 39/39 [==============================] - ETA: 0s - loss: 0.613 - 0s 844us/step - loss: 0.6173 Epoch 31/150 39/39 [==============================] - 0s 818us/step - loss: 0.6154 Epoch 32/150 39/39 [==============================] - 0s 742us/step - loss: 0.6143 Epoch 33/150 39/39 [==============================] - 0s 818us/step - loss: 0.6126 Epoch 34/150 39/39 [==============================] - 0s 818us/step - loss: 0.6113 Epoch 35/150 39/39 [==============================] - 0s 767us/step - loss: 0.6096 Epoch 36/150 39/39 [==============================] - 0s 818us/step - loss: 0.6085 Epoch 37/150 39/39 [==============================] - 0s 869us/step - loss: 0.6055 Epoch 38/150 39/39 [==============================] - 0s 793us/step - loss: 0.6060 Epoch 39/150 39/39 [==============================] - 0s 767us/step - loss: 0.6041 Epoch 40/150 39/39 [==============================] - 0s 818us/step - loss: 0.6027 Epoch 41/150 39/39 [==============================] - 0s 793us/step - loss: 0.6002 Epoch 42/150 39/39 [==============================] - 0s 767us/step - loss: 0.6001 Epoch 43/150 39/39 [==============================] - 0s 793us/step - loss: 0.5987 Epoch 44/150 39/39 [==============================] - 0s 767us/step - loss: 0.5971 Epoch 45/150 39/39 [==============================] - 0s 793us/step - loss: 0.5958 Epoch 46/150 39/39 [==============================] - 0s 793us/step - loss: 0.5940 Epoch 47/150 39/39 [==============================] - 0s 818us/step - loss: 0.5936 Epoch 48/150 39/39 [==============================] - 0s 742us/step - loss: 0.5919 Epoch 49/150 39/39 [==============================] - 0s 793us/step - loss: 0.5909 Epoch 50/150 39/39 [==============================] - 0s 793us/step - loss: 0.5897 Epoch 51/150 39/39 [==============================] - 0s 716us/step - loss: 0.5893 Epoch 52/150 39/39 [==============================] - 0s 818us/step - loss: 0.5883 Epoch 53/150 39/39 [==============================] - 0s 767us/step - loss: 0.5867 Epoch 54/150 39/39 [==============================] - 0s 844us/step - loss: 0.5856 Epoch 55/150 39/39 [==============================] - 0s 818us/step - loss: 0.5845 Epoch 56/150 39/39 [==============================] - 0s 844us/step - loss: 0.5840 Epoch 57/150 39/39 [==============================] - 0s 793us/step - loss: 0.5829 Epoch 58/150 39/39 [==============================] - 0s 844us/step - loss: 0.5825 Epoch 59/150 39/39 [==============================] - 0s 793us/step - loss: 0.5798 Epoch 60/150 39/39 [==============================] - 0s 793us/step - loss: 0.5811 Epoch 61/150 39/39 [==============================] - 0s 844us/step - loss: 0.5789 Epoch 62/150 39/39 [==============================] - 0s 793us/step - loss: 0.5794 Epoch 63/150 39/39 [==============================] - 0s 818us/step - loss: 0.5791 Epoch 64/150 39/39 [==============================] - 0s 844us/step - loss: 0.5781 Epoch 65/150 39/39 [==============================] - 0s 793us/step - loss: 0.5766 Epoch 66/150 39/39 [==============================] - 0s 818us/step - loss: 0.5755 Epoch 67/150 39/39 [==============================] - 0s 818us/step - loss: 0.5751 Epoch 68/150 39/39 [==============================] - 0s 742us/step - loss: 0.5750 Epoch 69/150 39/39 [==============================] - 0s 742us/step - loss: 0.5743 Epoch 70/150 39/39 [==============================] - 0s 818us/step - loss: 0.5738 Epoch 71/150 39/39 [==============================] - 0s 793us/step - loss: 0.5734 Epoch 72/150 39/39 [==============================] - 0s 844us/step - loss: 0.5712 Epoch 73/150 39/39 [==============================] - 0s 767us/step - loss: 0.5723 Epoch 74/150 39/39 [==============================] - 0s 716us/step - loss: 0.5707 Epoch 75/150 39/39 [==============================] - 0s 793us/step - loss: 0.5700 Epoch 76/150 39/39 [==============================] - 0s 767us/step - loss: 0.5704 Epoch 77/150 39/39 [==============================] - 0s 767us/step - loss: 0.5697 Epoch 78/150 39/39 [==============================] - 0s 742us/step - loss: 0.5692 Epoch 79/150 39/39 [==============================] - 0s 793us/step - loss: 0.5685 Epoch 80/150 39/39 [==============================] - 0s 767us/step - loss: 0.5688 Epoch 81/150 39/39 [==============================] - 0s 818us/step - loss: 0.5691 Epoch 82/150 39/39 [==============================] - 0s 818us/step - loss: 0.5676 Epoch 83/150 39/39 [==============================] - 0s 742us/step - loss: 0.5680 Epoch 84/150 39/39 [==============================] - 0s 767us/step - loss: 0.5668 Epoch 85/150 39/39 [==============================] - 0s 767us/step - loss: 0.5658 Epoch 86/150 39/39 [==============================] - 0s 793us/step - loss: 0.5656 Epoch 87/150 39/39 [==============================] - 0s 818us/step - loss: 0.5658 Epoch 88/150 39/39 [==============================] - 0s 793us/step - loss: 0.5650 Epoch 89/150 39/39 [==============================] - 0s 793us/step - loss: 0.5647 Epoch 90/150 39/39 [==============================] - 0s 767us/step - loss: 0.5647 Epoch 91/150 39/39 [==============================] - 0s 767us/step - loss: 0.5641 Epoch 92/150 39/39 [==============================] - 0s 793us/step - loss: 0.5639 Epoch 93/150 39/39 [==============================] - 0s 793us/step - loss: 0.5641 Epoch 94/150 39/39 [==============================] - 0s 818us/step - loss: 0.5636 Epoch 95/150 39/39 [==============================] - 0s 844us/step - loss: 0.5616 Epoch 96/150 39/39 [==============================] - 0s 818us/step - loss: 0.5632 Epoch 97/150 39/39 [==============================] - 0s 844us/step - loss: 0.5617 Epoch 98/150 39/39 [==============================] - 0s 793us/step - loss: 0.5616 Epoch 99/150 39/39 [==============================] - 0s 767us/step - loss: 0.5615 Epoch 100/150 39/39 [==============================] - 0s 742us/step - loss: 0.5620 Epoch 101/150 39/39 [==============================] - 0s 767us/step - loss: 0.5613 Epoch 102/150 39/39 [==============================] - 0s 767us/step - loss: 0.5604 Epoch 103/150 39/39 [==============================] - 0s 818us/step - loss: 0.5603 Epoch 104/150 39/39 [==============================] - 0s 818us/step - loss: 0.5607 Epoch 105/150 39/39 [==============================] - 0s 844us/step - loss: 0.5591 Epoch 106/150 39/39 [==============================] - 0s 818us/step - loss: 0.5593 Epoch 107/150 39/39 [==============================] - 0s 793us/step - loss: 0.5596 Epoch 108/150 39/39 [==============================] - 0s 844us/step - loss: 0.5598 Epoch 109/150 39/39 [==============================] - 0s 818us/step - loss: 0.5589 Epoch 110/150 39/39 [==============================] - 0s 793us/step - loss: 0.5591 Epoch 111/150 39/39 [==============================] - 0s 818us/step - loss: 0.5595 Epoch 112/150 39/39 [==============================] - 0s 742us/step - loss: 0.5576 Epoch 113/150 39/39 [==============================] - 0s 767us/step - loss: 0.5588 Epoch 114/150 39/39 [==============================] - 0s 793us/step - loss: 0.5579 Epoch 115/150 39/39 [==============================] - 0s 767us/step - loss: 0.5573 Epoch 116/150 39/39 [==============================] - 0s 767us/step - loss: 0.5572 Epoch 117/150 39/39 [==============================] - 0s 767us/step - loss: 0.5560 Epoch 118/150 39/39 [==============================] - 0s 767us/step - loss: 0.5565 Epoch 119/150 39/39 [==============================] - 0s 844us/step - loss: 0.5557 Epoch 120/150 39/39 [==============================] - 0s 767us/step - loss: 0.5554 Epoch 121/150 39/39 [==============================] - 0s 742us/step - loss: 0.5553 Epoch 122/150 39/39 [==============================] - 0s 793us/step - loss: 0.5557 Epoch 123/150 39/39 [==============================] - 0s 793us/step - loss: 0.5550 Epoch 124/150 39/39 [==============================] - 0s 844us/step - loss: 0.5537 Epoch 125/150 39/39 [==============================] - 0s 818us/step - loss: 0.5553 Epoch 126/150 39/39 [==============================] - 0s 844us/step - loss: 0.5551 Epoch 127/150 39/39 [==============================] - 0s 767us/step - loss: 0.5540 Epoch 128/150 39/39 [==============================] - 0s 767us/step - loss: 0.5526 Epoch 129/150 39/39 [==============================] - 0s 818us/step - loss: 0.5544 Epoch 130/150 39/39 [==============================] - 0s 818us/step - loss: 0.5545 Epoch 131/150 39/39 [==============================] - 0s 818us/step - loss: 0.5535 Epoch 132/150 39/39 [==============================] - 0s 818us/step - loss: 0.5528 Epoch 133/150 39/39 [==============================] - 0s 818us/step - loss: 0.5529 Epoch 134/150 39/39 [==============================] - 0s 869us/step - loss: 0.5517 Epoch 135/150 39/39 [==============================] - 0s 793us/step - loss: 0.5523 Epoch 136/150 39/39 [==============================] - 0s 818us/step - loss: 0.5515 Epoch 137/150 39/39 [==============================] - 0s 818us/step - loss: 0.5532 Epoch 138/150 39/39 [==============================] - 0s 793us/step - loss: 0.5511 Epoch 139/150 39/39 [==============================] - 0s 793us/step - loss: 0.5506 Epoch 140/150 39/39 [==============================] - 0s 793us/step - loss: 0.5508 Epoch 141/150 39/39 [==============================] - 0s 844us/step - loss: 0.5506 Epoch 142/150 39/39 [==============================] - 0s 818us/step - loss: 0.5499 Epoch 143/150 39/39 [==============================] - 0s 767us/step - loss: 0.5501 Epoch 144/150 39/39 [==============================] - 0s 844us/step - loss: 0.5505 Epoch 145/150 39/39 [==============================] - 0s 818us/step - loss: 0.5489 Epoch 146/150 39/39 [==============================] - 0s 793us/step - loss: 0.5485 Epoch 147/150 39/39 [==============================] - 0s 767us/step - loss: 0.5483 Epoch 148/150 39/39 [==============================] - 0s 793us/step - loss: 0.5475 Epoch 149/150 39/39 [==============================] - 0s 818us/step - loss: 0.5493 Epoch 150/150 39/39 [==============================] - 0s 818us/step - loss: 0.5481 ###################################################################### Accuracy: 72.41807466126224 Epoch 1/150 39/39 [==============================] - 0s 869us/step - loss: 0.9744 Epoch 2/150 39/39 [==============================] - 0s 844us/step - loss: 0.9609 Epoch 3/150 39/39 [==============================] - 0s 818us/step - loss: 0.9317 Epoch 4/150 39/39 [==============================] - 0s 742us/step - loss: 0.8880 Epoch 5/150 39/39 [==============================] - 0s 793us/step - loss: 0.8323 Epoch 6/150 39/39 [==============================] - 0s 742us/step - loss: 0.7799 Epoch 7/150 39/39 [==============================] - 0s 793us/step - loss: 0.7337 Epoch 8/150 39/39 [==============================] - 0s 767us/step - loss: 0.6968 Epoch 9/150 39/39 [==============================] - 0s 767us/step - loss: 0.6679 Epoch 10/150 39/39 [==============================] - 0s 742us/step - loss: 0.6477 Epoch 11/150 39/39 [==============================] - 0s 844us/step - loss: 0.6351 Epoch 12/150 39/39 [==============================] - 0s 767us/step - loss: 0.6255 Epoch 13/150 39/39 [==============================] - 0s 742us/step - loss: 0.6221 Epoch 14/150 39/39 [==============================] - 0s 767us/step - loss: 0.6174 Epoch 15/150 39/39 [==============================] - 0s 767us/step - loss: 0.6150 Epoch 16/150 39/39 [==============================] - 0s 767us/step - loss: 0.6116 Epoch 17/150 39/39 [==============================] - 0s 818us/step - loss: 0.6090 Epoch 18/150 39/39 [==============================] - 0s 742us/step - loss: 0.6061 Epoch 19/150 39/39 [==============================] - 0s 793us/step - loss: 0.6043 Epoch 20/150 39/39 [==============================] - 0s 793us/step - loss: 0.6017 Epoch 21/150 39/39 [==============================] - 0s 742us/step - loss: 0.6003 Epoch 22/150 39/39 [==============================] - 0s 793us/step - loss: 0.5980 Epoch 23/150 39/39 [==============================] - 0s 793us/step - loss: 0.5962 Epoch 24/150 39/39 [==============================] - 0s 767us/step - loss: 0.5936 Epoch 25/150 39/39 [==============================] - 0s 818us/step - loss: 0.5923 Epoch 26/150 39/39 [==============================] - 0s 767us/step - loss: 0.5908 Epoch 27/150 39/39 [==============================] - 0s 793us/step - loss: 0.5887 Epoch 28/150 39/39 [==============================] - 0s 793us/step - loss: 0.5875 Epoch 29/150 39/39 [==============================] - 0s 818us/step - loss: 0.5858 Epoch 30/150 39/39 [==============================] - 0s 793us/step - loss: 0.5835 Epoch 31/150 39/39 [==============================] - 0s 793us/step - loss: 0.5820 Epoch 32/150 39/39 [==============================] - 0s 716us/step - loss: 0.5801 Epoch 33/150 39/39 [==============================] - 0s 793us/step - loss: 0.5788 Epoch 34/150 39/39 [==============================] - 0s 767us/step - loss: 0.5778 Epoch 35/150 39/39 [==============================] - 0s 793us/step - loss: 0.5761 Epoch 36/150 39/39 [==============================] - 0s 767us/step - loss: 0.5750 Epoch 37/150 39/39 [==============================] - 0s 793us/step - loss: 0.5744 Epoch 38/150 39/39 [==============================] - 0s 818us/step - loss: 0.5728 Epoch 39/150 39/39 [==============================] - 0s 844us/step - loss: 0.5716 Epoch 40/150 39/39 [==============================] - 0s 818us/step - loss: 0.5698 Epoch 41/150 39/39 [==============================] - 0s 767us/step - loss: 0.5682 Epoch 42/150 39/39 [==============================] - 0s 742us/step - loss: 0.5690 Epoch 43/150 39/39 [==============================] - 0s 767us/step - loss: 0.5673 Epoch 44/150 39/39 [==============================] - 0s 818us/step - loss: 0.5665 Epoch 45/150 39/39 [==============================] - 0s 742us/step - loss: 0.5653 Epoch 46/150 39/39 [==============================] - 0s 818us/step - loss: 0.5644 Epoch 47/150 39/39 [==============================] - 0s 793us/step - loss: 0.5630 Epoch 48/150 39/39 [==============================] - 0s 793us/step - loss: 0.5613 Epoch 49/150 39/39 [==============================] - 0s 793us/step - loss: 0.5616 Epoch 50/150 39/39 [==============================] - 0s 742us/step - loss: 0.5606 Epoch 51/150 39/39 [==============================] - 0s 818us/step - loss: 0.5602 Epoch 52/150 39/39 [==============================] - 0s 793us/step - loss: 0.5589 Epoch 53/150 39/39 [==============================] - 0s 742us/step - loss: 0.5575 Epoch 54/150 39/39 [==============================] - 0s 767us/step - loss: 0.5578 Epoch 55/150 39/39 [==============================] - 0s 767us/step - loss: 0.5571 Epoch 56/150 39/39 [==============================] - 0s 818us/step - loss: 0.5556 Epoch 57/150 39/39 [==============================] - 0s 793us/step - loss: 0.5558 Epoch 58/150 39/39 [==============================] - 0s 869us/step - loss: 0.5553 Epoch 59/150 39/39 [==============================] - 0s 793us/step - loss: 0.5539 Epoch 60/150 39/39 [==============================] - 0s 793us/step - loss: 0.5539 Epoch 61/150 39/39 [==============================] - 0s 767us/step - loss: 0.5530 Epoch 62/150 39/39 [==============================] - 0s 767us/step - loss: 0.5528 Epoch 63/150 39/39 [==============================] - 0s 793us/step - loss: 0.5519 Epoch 64/150 39/39 [==============================] - 0s 844us/step - loss: 0.5512 Epoch 65/150 39/39 [==============================] - 0s 793us/step - loss: 0.5514 Epoch 66/150 39/39 [==============================] - 0s 793us/step - loss: 0.5507 Epoch 67/150 39/39 [==============================] - 0s 742us/step - loss: 0.5495 Epoch 68/150 39/39 [==============================] - 0s 793us/step - loss: 0.5493 Epoch 69/150 39/39 [==============================] - 0s 767us/step - loss: 0.5488 Epoch 70/150 39/39 [==============================] - 0s 946us/step - loss: 0.5492 Epoch 71/150 39/39 [==============================] - 0s 843us/step - loss: 0.5489 Epoch 72/150 39/39 [==============================] - 0s 793us/step - loss: 0.5483 Epoch 73/150 39/39 [==============================] - 0s 767us/step - loss: 0.5481 Epoch 74/150 39/39 [==============================] - 0s 690us/step - loss: 0.5471 Epoch 75/150 39/39 [==============================] - 0s 793us/step - loss: 0.5468 Epoch 76/150 39/39 [==============================] - 0s 742us/step - loss: 0.5466 Epoch 77/150 39/39 [==============================] - 0s 793us/step - loss: 0.5464 Epoch 78/150 39/39 [==============================] - 0s 793us/step - loss: 0.5461 Epoch 79/150 39/39 [==============================] - 0s 793us/step - loss: 0.5457 Epoch 80/150 39/39 [==============================] - 0s 818us/step - loss: 0.5444 Epoch 81/150 39/39 [==============================] - 0s 818us/step - loss: 0.5459 Epoch 82/150 39/39 [==============================] - 0s 767us/step - loss: 0.5436 Epoch 83/150 39/39 [==============================] - 0s 793us/step - loss: 0.5443 Epoch 84/150 39/39 [==============================] - 0s 818us/step - loss: 0.5447 Epoch 85/150 39/39 [==============================] - 0s 793us/step - loss: 0.5443 Epoch 86/150 39/39 [==============================] - 0s 690us/step - loss: 0.5437 Epoch 87/150 39/39 [==============================] - 0s 869us/step - loss: 0.5430 Epoch 88/150 39/39 [==============================] - 0s 767us/step - loss: 0.5428 Epoch 89/150 39/39 [==============================] - 0s 716us/step - loss: 0.5419 Epoch 90/150 39/39 [==============================] - 0s 793us/step - loss: 0.5423 Epoch 91/150 39/39 [==============================] - 0s 690us/step - loss: 0.5421 Epoch 92/150 39/39 [==============================] - 0s 844us/step - loss: 0.5401 Epoch 93/150 39/39 [==============================] - 0s 742us/step - loss: 0.5412 Epoch 94/150 39/39 [==============================] - 0s 793us/step - loss: 0.5402 Epoch 95/150 39/39 [==============================] - 0s 767us/step - loss: 0.5406 Epoch 96/150 39/39 [==============================] - 0s 742us/step - loss: 0.5413 Epoch 97/150 39/39 [==============================] - 0s 767us/step - loss: 0.5403 Epoch 98/150 39/39 [==============================] - 0s 767us/step - loss: 0.5392 Epoch 99/150 39/39 [==============================] - 0s 793us/step - loss: 0.5397 Epoch 100/150 39/39 [==============================] - 0s 818us/step - loss: 0.5395 Epoch 101/150 39/39 [==============================] - 0s 742us/step - loss: 0.5369 Epoch 102/150 39/39 [==============================] - 0s 793us/step - loss: 0.5394 Epoch 103/150 39/39 [==============================] - 0s 793us/step - loss: 0.5383 Epoch 104/150 39/39 [==============================] - 0s 793us/step - loss: 0.5392 Epoch 105/150 39/39 [==============================] - 0s 818us/step - loss: 0.5378 Epoch 106/150 39/39 [==============================] - 0s 818us/step - loss: 0.5387 Epoch 107/150 39/39 [==============================] - 0s 767us/step - loss: 0.5373 Epoch 108/150 39/39 [==============================] - 0s 793us/step - loss: 0.5373 Epoch 109/150 39/39 [==============================] - 0s 844us/step - loss: 0.5376 Epoch 110/150 39/39 [==============================] - 0s 818us/step - loss: 0.5370 Epoch 111/150 39/39 [==============================] - 0s 793us/step - loss: 0.5361 Epoch 112/150 39/39 [==============================] - 0s 767us/step - loss: 0.5366 Epoch 113/150 39/39 [==============================] - 0s 818us/step - loss: 0.5360 Epoch 114/150 39/39 [==============================] - 0s 818us/step - loss: 0.5359 Epoch 115/150 39/39 [==============================] - 0s 690us/step - loss: 0.5350 Epoch 116/150 39/39 [==============================] - 0s 818us/step - loss: 0.5356 Epoch 117/150 39/39 [==============================] - 0s 793us/step - loss: 0.5355 Epoch 118/150 39/39 [==============================] - 0s 767us/step - loss: 0.5347 Epoch 119/150 39/39 [==============================] - 0s 818us/step - loss: 0.5343 Epoch 120/150 39/39 [==============================] - 0s 767us/step - loss: 0.5343 Epoch 121/150 39/39 [==============================] - 0s 844us/step - loss: 0.5344 Epoch 122/150 39/39 [==============================] - 0s 767us/step - loss: 0.5340 Epoch 123/150 39/39 [==============================] - 0s 767us/step - loss: 0.5341 Epoch 124/150 39/39 [==============================] - 0s 818us/step - loss: 0.5345 Epoch 125/150 39/39 [==============================] - 0s 793us/step - loss: 0.5327 Epoch 126/150 39/39 [==============================] - 0s 742us/step - loss: 0.5333 Epoch 127/150 39/39 [==============================] - 0s 767us/step - loss: 0.5326 Epoch 128/150 39/39 [==============================] - 0s 767us/step - loss: 0.5326 Epoch 129/150 39/39 [==============================] - 0s 818us/step - loss: 0.5319 Epoch 130/150 39/39 [==============================] - 0s 767us/step - loss: 0.5327 Epoch 131/150 39/39 [==============================] - 0s 793us/step - loss: 0.5330 Epoch 132/150 39/39 [==============================] - 0s 793us/step - loss: 0.5319 Epoch 133/150 39/39 [==============================] - 0s 793us/step - loss: 0.5313 Epoch 134/150 39/39 [==============================] - 0s 793us/step - loss: 0.5312 Epoch 135/150 39/39 [==============================] - 0s 767us/step - loss: 0.5317 Epoch 136/150 39/39 [==============================] - 0s 767us/step - loss: 0.5306 Epoch 137/150 39/39 [==============================] - 0s 793us/step - loss: 0.5305 Epoch 138/150 39/39 [==============================] - 0s 716us/step - loss: 0.5299 Epoch 139/150 39/39 [==============================] - 0s 767us/step - loss: 0.5303 Epoch 140/150 39/39 [==============================] - 0s 742us/step - loss: 0.5298 Epoch 141/150 39/39 [==============================] - 0s 844us/step - loss: 0.5302 Epoch 142/150 39/39 [==============================] - 0s 818us/step - loss: 0.5293 Epoch 143/150 39/39 [==============================] - 0s 818us/step - loss: 0.5305 Epoch 144/150 39/39 [==============================] - 0s 844us/step - loss: 0.5293 Epoch 145/150 39/39 [==============================] - 0s 793us/step - loss: 0.5290 Epoch 146/150 39/39 [==============================] - 0s 767us/step - loss: 0.5290 Epoch 147/150 39/39 [==============================] - 0s 793us/step - loss: 0.5283 Epoch 148/150 39/39 [==============================] - 0s 818us/step - loss: 0.5280 Epoch 149/150 39/39 [==============================] - 0s 1ms/step - loss: 0.5277 Epoch 150/150 39/39 [==============================] - 0s 972us/step - loss: 0.5272 ###################################################################### Accuracy: 91.29927583773056 Epoch 1/150 39/39 [==============================] - 0s 793us/step - loss: 1.0171 Epoch 2/150 39/39 [==============================] - 0s 793us/step - loss: 1.0028 Epoch 3/150 39/39 [==============================] - 0s 793us/step - loss: 0.9661 Epoch 4/150 39/39 [==============================] - 0s 742us/step - loss: 0.9042 Epoch 5/150 39/39 [==============================] - 0s 818us/step - loss: 0.8268 Epoch 6/150 39/39 [==============================] - 0s 742us/step - loss: 0.7528 Epoch 7/150 39/39 [==============================] - 0s 742us/step - loss: 0.6993 Epoch 8/150 39/39 [==============================] - 0s 818us/step - loss: 0.6692 Epoch 9/150 39/39 [==============================] - 0s 767us/step - loss: 0.6538 Epoch 10/150 39/39 [==============================] - 0s 767us/step - loss: 0.6470 Epoch 11/150 39/39 [==============================] - 0s 742us/step - loss: 0.6434 Epoch 12/150 39/39 [==============================] - 0s 793us/step - loss: 0.6393 Epoch 13/150 39/39 [==============================] - 0s 818us/step - loss: 0.6379 Epoch 14/150 39/39 [==============================] - 0s 767us/step - loss: 0.6353 Epoch 15/150 39/39 [==============================] - 0s 716us/step - loss: 0.6331 Epoch 16/150 39/39 [==============================] - 0s 767us/step - loss: 0.6317 Epoch 17/150 39/39 [==============================] - 0s 716us/step - loss: 0.6296 Epoch 18/150 39/39 [==============================] - 0s 742us/step - loss: 0.6278 Epoch 19/150 39/39 [==============================] - 0s 793us/step - loss: 0.6250 Epoch 20/150 39/39 [==============================] - 0s 818us/step - loss: 0.6245 Epoch 21/150 39/39 [==============================] - 0s 793us/step - loss: 0.6233 Epoch 22/150 39/39 [==============================] - 0s 818us/step - loss: 0.6217 Epoch 23/150 39/39 [==============================] - 0s 818us/step - loss: 0.6195 Epoch 24/150 39/39 [==============================] - 0s 793us/step - loss: 0.6185 Epoch 25/150 39/39 [==============================] - 0s 844us/step - loss: 0.6169 Epoch 26/150 39/39 [==============================] - 0s 742us/step - loss: 0.6149 Epoch 27/150 39/39 [==============================] - 0s 793us/step - loss: 0.6140 Epoch 28/150 39/39 [==============================] - 0s 818us/step - loss: 0.6120 Epoch 29/150 39/39 [==============================] - 0s 844us/step - loss: 0.6112 Epoch 30/150 39/39 [==============================] - 0s 844us/step - loss: 0.6099 Epoch 31/150 39/39 [==============================] - 0s 793us/step - loss: 0.6095 Epoch 32/150 39/39 [==============================] - 0s 793us/step - loss: 0.6087 Epoch 33/150 39/39 [==============================] - 0s 818us/step - loss: 0.6061 Epoch 34/150 39/39 [==============================] - 0s 895us/step - loss: 0.6064 Epoch 35/150 39/39 [==============================] - 0s 818us/step - loss: 0.6050 Epoch 36/150 39/39 [==============================] - 0s 844us/step - loss: 0.6044 Epoch 37/150 39/39 [==============================] - 0s 818us/step - loss: 0.6036 Epoch 38/150 39/39 [==============================] - 0s 869us/step - loss: 0.6008 Epoch 39/150 39/39 [==============================] - 0s 818us/step - loss: 0.6014 Epoch 40/150 39/39 [==============================] - 0s 767us/step - loss: 0.5998 Epoch 41/150 39/39 [==============================] - 0s 818us/step - loss: 0.5991 Epoch 42/150 39/39 [==============================] - 0s 818us/step - loss: 0.5980 Epoch 43/150 39/39 [==============================] - 0s 793us/step - loss: 0.5967 Epoch 44/150 39/39 [==============================] - 0s 844us/step - loss: 0.5967 Epoch 45/150 39/39 [==============================] - 0s 818us/step - loss: 0.5945 Epoch 46/150 39/39 [==============================] - 0s 818us/step - loss: 0.5949 Epoch 47/150 39/39 [==============================] - 0s 793us/step - loss: 0.5945 Epoch 48/150 39/39 [==============================] - 0s 844us/step - loss: 0.5945 Epoch 49/150 39/39 [==============================] - 0s 793us/step - loss: 0.5937 Epoch 50/150 39/39 [==============================] - 0s 793us/step - loss: 0.5928 Epoch 51/150 39/39 [==============================] - 0s 767us/step - loss: 0.5929 Epoch 52/150 39/39 [==============================] - 0s 793us/step - loss: 0.5920 Epoch 53/150 39/39 [==============================] - 0s 742us/step - loss: 0.5898 Epoch 54/150 39/39 [==============================] - 0s 742us/step - loss: 0.5908 Epoch 55/150 39/39 [==============================] - 0s 793us/step - loss: 0.5885 Epoch 56/150 39/39 [==============================] - 0s 742us/step - loss: 0.5894 Epoch 57/150 39/39 [==============================] - 0s 742us/step - loss: 0.5877 Epoch 58/150 39/39 [==============================] - 0s 818us/step - loss: 0.5877 Epoch 59/150 39/39 [==============================] - 0s 793us/step - loss: 0.5865 Epoch 60/150 39/39 [==============================] - 0s 742us/step - loss: 0.5849 Epoch 61/150 39/39 [==============================] - 0s 793us/step - loss: 0.5847 Epoch 62/150 39/39 [==============================] - 0s 767us/step - loss: 0.5857 Epoch 63/150 39/39 [==============================] - 0s 895us/step - loss: 0.5844 Epoch 64/150 39/39 [==============================] - 0s 793us/step - loss: 0.5845 Epoch 65/150 39/39 [==============================] - 0s 767us/step - loss: 0.5835 Epoch 66/150 39/39 [==============================] - 0s 793us/step - loss: 0.5825 Epoch 67/150 39/39 [==============================] - 0s 767us/step - loss: 0.5823 Epoch 68/150 39/39 [==============================] - 0s 767us/step - loss: 0.5816 Epoch 69/150 39/39 [==============================] - 0s 767us/step - loss: 0.5815 Epoch 70/150 39/39 [==============================] - 0s 793us/step - loss: 0.5810 Epoch 71/150 39/39 [==============================] - 0s 767us/step - loss: 0.5806 Epoch 72/150 39/39 [==============================] - 0s 742us/step - loss: 0.5790 Epoch 73/150 39/39 [==============================] - 0s 767us/step - loss: 0.5808 Epoch 74/150 39/39 [==============================] - 0s 793us/step - loss: 0.5770 Epoch 75/150 39/39 [==============================] - 0s 793us/step - loss: 0.5785 Epoch 76/150 39/39 [==============================] - 0s 767us/step - loss: 0.5787 Epoch 77/150 39/39 [==============================] - 0s 844us/step - loss: 0.5778 Epoch 78/150 39/39 [==============================] - 0s 767us/step - loss: 0.5757 Epoch 79/150 39/39 [==============================] - 0s 742us/step - loss: 0.5775 Epoch 80/150 39/39 [==============================] - 0s 818us/step - loss: 0.5766 Epoch 81/150 39/39 [==============================] - 0s 767us/step - loss: 0.5755 Epoch 82/150 39/39 [==============================] - 0s 742us/step - loss: 0.5753 Epoch 83/150 39/39 [==============================] - 0s 767us/step - loss: 0.5743 Epoch 84/150 39/39 [==============================] - 0s 793us/step - loss: 0.5750 Epoch 85/150 39/39 [==============================] - 0s 793us/step - loss: 0.5739 Epoch 86/150 39/39 [==============================] - 0s 818us/step - loss: 0.5733 Epoch 87/150 39/39 [==============================] - 0s 818us/step - loss: 0.5736 Epoch 88/150 39/39 [==============================] - 0s 844us/step - loss: 0.5724 Epoch 89/150 39/39 [==============================] - 0s 767us/step - loss: 0.5721 Epoch 90/150 39/39 [==============================] - 0s 844us/step - loss: 0.5730 Epoch 91/150 39/39 [==============================] - 0s 818us/step - loss: 0.5718 Epoch 92/150 39/39 [==============================] - 0s 844us/step - loss: 0.5713 Epoch 93/150 39/39 [==============================] - 0s 844us/step - loss: 0.5694 Epoch 94/150 39/39 [==============================] - 0s 818us/step - loss: 0.5713 Epoch 95/150 39/39 [==============================] - 0s 793us/step - loss: 0.5702 Epoch 96/150 39/39 [==============================] - 0s 844us/step - loss: 0.5694 Epoch 97/150 39/39 [==============================] - 0s 767us/step - loss: 0.5694 Epoch 98/150 39/39 [==============================] - 0s 818us/step - loss: 0.5693 Epoch 99/150 39/39 [==============================] - 0s 818us/step - loss: 0.5672 Epoch 100/150 39/39 [==============================] - 0s 844us/step - loss: 0.5685 Epoch 101/150 39/39 [==============================] - 0s 844us/step - loss: 0.5673 Epoch 102/150 39/39 [==============================] - ETA: 0s - loss: 0.457 - 0s 818us/step - loss: 0.5667 Epoch 103/150 39/39 [==============================] - 0s 818us/step - loss: 0.5678 Epoch 104/150 39/39 [==============================] - 0s 869us/step - loss: 0.5665 Epoch 105/150 39/39 [==============================] - 0s 793us/step - loss: 0.5668 Epoch 106/150 39/39 [==============================] - 0s 844us/step - loss: 0.5655 Epoch 107/150 39/39 [==============================] - 0s 793us/step - loss: 0.5663 Epoch 108/150 39/39 [==============================] - 0s 742us/step - loss: 0.5653 Epoch 109/150 39/39 [==============================] - 0s 767us/step - loss: 0.5653 Epoch 110/150 39/39 [==============================] - 0s 844us/step - loss: 0.5638 Epoch 111/150 39/39 [==============================] - 0s 793us/step - loss: 0.5653 Epoch 112/150 39/39 [==============================] - 0s 767us/step - loss: 0.5641 Epoch 113/150 39/39 [==============================] - 0s 716us/step - loss: 0.5642 Epoch 114/150 39/39 [==============================] - 0s 767us/step - loss: 0.5628 Epoch 115/150 39/39 [==============================] - 0s 793us/step - loss: 0.5623 Epoch 116/150 39/39 [==============================] - 0s 742us/step - loss: 0.5636 Epoch 117/150 39/39 [==============================] - 0s 742us/step - loss: 0.5610 Epoch 118/150 39/39 [==============================] - 0s 767us/step - loss: 0.5631 Epoch 119/150 39/39 [==============================] - 0s 742us/step - loss: 0.5616 Epoch 120/150 39/39 [==============================] - 0s 818us/step - loss: 0.5606 Epoch 121/150 39/39 [==============================] - 0s 742us/step - loss: 0.5615 Epoch 122/150 39/39 [==============================] - 0s 767us/step - loss: 0.5608 Epoch 123/150 39/39 [==============================] - 0s 793us/step - loss: 0.5609 Epoch 124/150 39/39 [==============================] - 0s 767us/step - loss: 0.5616 Epoch 125/150 39/39 [==============================] - 0s 742us/step - loss: 0.5606 Epoch 126/150 39/39 [==============================] - 0s 793us/step - loss: 0.5592 Epoch 127/150 39/39 [==============================] - 0s 767us/step - loss: 0.5601 Epoch 128/150 39/39 [==============================] - 0s 742us/step - loss: 0.5599 Epoch 129/150 39/39 [==============================] - 0s 793us/step - loss: 0.5594 Epoch 130/150 39/39 [==============================] - 0s 793us/step - loss: 0.5578 Epoch 131/150 39/39 [==============================] - 0s 793us/step - loss: 0.5586 Epoch 132/150 39/39 [==============================] - 0s 742us/step - loss: 0.5586 Epoch 133/150 39/39 [==============================] - 0s 742us/step - loss: 0.5600 Epoch 134/150 39/39 [==============================] - 0s 767us/step - loss: 0.5584 Epoch 135/150 39/39 [==============================] - 0s 767us/step - loss: 0.5560 Epoch 136/150 39/39 [==============================] - 0s 742us/step - loss: 0.5577 Epoch 137/150 39/39 [==============================] - 0s 742us/step - loss: 0.5570 Epoch 138/150 39/39 [==============================] - 0s 767us/step - loss: 0.5567 Epoch 139/150 39/39 [==============================] - 0s 793us/step - loss: 0.5554 Epoch 140/150 39/39 [==============================] - 0s 818us/step - loss: 0.5544 Epoch 141/150 39/39 [==============================] - 0s 793us/step - loss: 0.5556 Epoch 142/150 39/39 [==============================] - 0s 844us/step - loss: 0.5552 Epoch 143/150 39/39 [==============================] - 0s 716us/step - loss: 0.5535 Epoch 144/150 39/39 [==============================] - 0s 818us/step - loss: 0.5558 Epoch 145/150 39/39 [==============================] - 0s 793us/step - loss: 0.5545 Epoch 146/150 39/39 [==============================] - 0s 818us/step - loss: 0.5536 Epoch 147/150 39/39 [==============================] - 0s 844us/step - loss: 0.5533 Epoch 148/150 39/39 [==============================] - 0s 818us/step - loss: 0.5530 Epoch 149/150 39/39 [==============================] - 0s 844us/step - loss: 0.5526 Epoch 150/150 39/39 [==============================] - 0s 844us/step - loss: 0.5523 ###################################################################### Accuracy: 75.55458361569532 Epoch 1/150 39/39 [==============================] - 0s 869us/step - loss: 0.9989 Epoch 2/150 39/39 [==============================] - 0s 793us/step - loss: 0.9785 Epoch 3/150 39/39 [==============================] - 0s 921us/step - loss: 0.9334 Epoch 4/150 39/39 [==============================] - 0s 869us/step - loss: 0.8716 Epoch 5/150 39/39 [==============================] - 0s 793us/step - loss: 0.8028 Epoch 6/150 39/39 [==============================] - 0s 818us/step - loss: 0.7375 Epoch 7/150 39/39 [==============================] - 0s 767us/step - loss: 0.6837 Epoch 8/150 39/39 [==============================] - 0s 767us/step - loss: 0.6567 Epoch 9/150 39/39 [==============================] - 0s 716us/step - loss: 0.6470 Epoch 10/150 39/39 [==============================] - 0s 742us/step - loss: 0.6425 Epoch 11/150 39/39 [==============================] - 0s 767us/step - loss: 0.6398 Epoch 12/150 39/39 [==============================] - 0s 742us/step - loss: 0.6372 Epoch 13/150 39/39 [==============================] - 0s 767us/step - loss: 0.6352 Epoch 14/150 39/39 [==============================] - 0s 793us/step - loss: 0.6337 Epoch 15/150 39/39 [==============================] - 0s 742us/step - loss: 0.6317 Epoch 16/150 39/39 [==============================] - 0s 742us/step - loss: 0.6308 Epoch 17/150 39/39 [==============================] - 0s 767us/step - loss: 0.6286 Epoch 18/150 39/39 [==============================] - 0s 793us/step - loss: 0.6281 Epoch 19/150 39/39 [==============================] - 0s 818us/step - loss: 0.6273 Epoch 20/150 39/39 [==============================] - 0s 742us/step - loss: 0.6258 Epoch 21/150 39/39 [==============================] - 0s 742us/step - loss: 0.6217 Epoch 22/150 39/39 [==============================] - 0s 767us/step - loss: 0.6253 Epoch 23/150 39/39 [==============================] - 0s 742us/step - loss: 0.6222 Epoch 24/150 39/39 [==============================] - 0s 793us/step - loss: 0.6217 Epoch 25/150 39/39 [==============================] - 0s 767us/step - loss: 0.6216 Epoch 26/150 39/39 [==============================] - 0s 716us/step - loss: 0.6200 Epoch 27/150 39/39 [==============================] - 0s 793us/step - loss: 0.6197 Epoch 28/150 39/39 [==============================] - 0s 767us/step - loss: 0.6198 Epoch 29/150 39/39 [==============================] - 0s 767us/step - loss: 0.6186 Epoch 30/150 39/39 [==============================] - 0s 818us/step - loss: 0.6163 Epoch 31/150 39/39 [==============================] - 0s 793us/step - loss: 0.6157 Epoch 32/150 39/39 [==============================] - 0s 716us/step - loss: 0.6150 Epoch 33/150 39/39 [==============================] - 0s 818us/step - loss: 0.6132 Epoch 34/150 39/39 [==============================] - 0s 793us/step - loss: 0.6118 Epoch 35/150 39/39 [==============================] - 0s 793us/step - loss: 0.6111 Epoch 36/150 39/39 [==============================] - 0s 716us/step - loss: 0.6103 Epoch 37/150 39/39 [==============================] - 0s 793us/step - loss: 0.6088 Epoch 38/150 39/39 [==============================] - 0s 793us/step - loss: 0.6071 Epoch 39/150 39/39 [==============================] - 0s 793us/step - loss: 0.6060 Epoch 40/150 39/39 [==============================] - 0s 844us/step - loss: 0.6055 Epoch 41/150 39/39 [==============================] - 0s 818us/step - loss: 0.6042 Epoch 42/150 39/39 [==============================] - 0s 818us/step - loss: 0.6041 Epoch 43/150 39/39 [==============================] - 0s 818us/step - loss: 0.6031 Epoch 44/150 39/39 [==============================] - 0s 742us/step - loss: 0.6022 Epoch 45/150 39/39 [==============================] - 0s 818us/step - loss: 0.6021 Epoch 46/150 39/39 [==============================] - 0s 767us/step - loss: 0.5996 Epoch 47/150 39/39 [==============================] - 0s 767us/step - loss: 0.5993 Epoch 48/150 39/39 [==============================] - 0s 793us/step - loss: 0.5977 Epoch 49/150 39/39 [==============================] - 0s 793us/step - loss: 0.5975 Epoch 50/150 39/39 [==============================] - 0s 818us/step - loss: 0.5967 Epoch 51/150 39/39 [==============================] - 0s 767us/step - loss: 0.5948 Epoch 52/150 39/39 [==============================] - 0s 793us/step - loss: 0.5932 Epoch 53/150 39/39 [==============================] - 0s 767us/step - loss: 0.5929 Epoch 54/150 39/39 [==============================] - 0s 818us/step - loss: 0.5911 Epoch 55/150 39/39 [==============================] - 0s 793us/step - loss: 0.5900 Epoch 56/150 39/39 [==============================] - 0s 793us/step - loss: 0.5890 Epoch 57/150 39/39 [==============================] - 0s 742us/step - loss: 0.5882 Epoch 58/150 39/39 [==============================] - 0s 818us/step - loss: 0.5866 Epoch 59/150 39/39 [==============================] - 0s 895us/step - loss: 0.5862 Epoch 60/150 39/39 [==============================] - 0s 818us/step - loss: 0.5852 Epoch 61/150 39/39 [==============================] - 0s 793us/step - loss: 0.5816 Epoch 62/150 39/39 [==============================] - 0s 844us/step - loss: 0.5827 Epoch 63/150 39/39 [==============================] - 0s 818us/step - loss: 0.5825 Epoch 64/150 39/39 [==============================] - 0s 818us/step - loss: 0.5806 Epoch 65/150 39/39 [==============================] - 0s 818us/step - loss: 0.5796 Epoch 66/150 39/39 [==============================] - 0s 818us/step - loss: 0.5777 Epoch 67/150 39/39 [==============================] - 0s 793us/step - loss: 0.5790 Epoch 68/150 39/39 [==============================] - 0s 767us/step - loss: 0.5779 Epoch 69/150 39/39 [==============================] - 0s 818us/step - loss: 0.5773 Epoch 70/150 39/39 [==============================] - 0s 793us/step - loss: 0.5760 Epoch 71/150 39/39 [==============================] - 0s 767us/step - loss: 0.5764 Epoch 72/150 39/39 [==============================] - 0s 844us/step - loss: 0.5752 Epoch 73/150 39/39 [==============================] - 0s 818us/step - loss: 0.5743 Epoch 74/150 39/39 [==============================] - 0s 793us/step - loss: 0.5738 Epoch 75/150 39/39 [==============================] - 0s 818us/step - loss: 0.5727 Epoch 76/150 39/39 [==============================] - 0s 844us/step - loss: 0.5728 Epoch 77/150 39/39 [==============================] - 0s 793us/step - loss: 0.5709 Epoch 78/150 39/39 [==============================] - 0s 742us/step - loss: 0.5702 Epoch 79/150 39/39 [==============================] - 0s 818us/step - loss: 0.5704 Epoch 80/150 39/39 [==============================] - 0s 793us/step - loss: 0.5707 Epoch 81/150 39/39 [==============================] - 0s 818us/step - loss: 0.5690 Epoch 82/150 39/39 [==============================] - 0s 844us/step - loss: 0.5692 Epoch 83/150 39/39 [==============================] - 0s 818us/step - loss: 0.5686 Epoch 84/150 39/39 [==============================] - 0s 818us/step - loss: 0.5673 Epoch 85/150 39/39 [==============================] - 0s 818us/step - loss: 0.5671 Epoch 86/150 39/39 [==============================] - 0s 793us/step - loss: 0.5657 Epoch 87/150 39/39 [==============================] - 0s 818us/step - loss: 0.5658 Epoch 88/150 39/39 [==============================] - 0s 742us/step - loss: 0.5659 Epoch 89/150 39/39 [==============================] - 0s 844us/step - loss: 0.5655 Epoch 90/150 39/39 [==============================] - 0s 767us/step - loss: 0.5658 Epoch 91/150 39/39 [==============================] - 0s 742us/step - loss: 0.5660 Epoch 92/150 39/39 [==============================] - 0s 869us/step - loss: 0.5629 Epoch 93/150 39/39 [==============================] - 0s 767us/step - loss: 0.5637 Epoch 94/150 39/39 [==============================] - 0s 716us/step - loss: 0.5641 Epoch 95/150 39/39 [==============================] - 0s 818us/step - loss: 0.5621 Epoch 96/150 39/39 [==============================] - 0s 767us/step - loss: 0.5624 Epoch 97/150 39/39 [==============================] - 0s 818us/step - loss: 0.5630 Epoch 98/150 39/39 [==============================] - 0s 793us/step - loss: 0.5612 Epoch 99/150 39/39 [==============================] - 0s 793us/step - loss: 0.5597 Epoch 100/150 39/39 [==============================] - 0s 793us/step - loss: 0.5614 Epoch 101/150 39/39 [==============================] - 0s 818us/step - loss: 0.5610 Epoch 102/150 39/39 [==============================] - 0s 818us/step - loss: 0.5607 Epoch 103/150 39/39 [==============================] - 0s 767us/step - loss: 0.5601 Epoch 104/150 39/39 [==============================] - 0s 793us/step - loss: 0.5602 Epoch 105/150 39/39 [==============================] - 0s 844us/step - loss: 0.5602 Epoch 106/150 39/39 [==============================] - 0s 844us/step - loss: 0.5602 Epoch 107/150 39/39 [==============================] - 0s 793us/step - loss: 0.5594 Epoch 108/150 39/39 [==============================] - 0s 767us/step - loss: 0.5595 Epoch 109/150 39/39 [==============================] - 0s 716us/step - loss: 0.5583 Epoch 110/150 39/39 [==============================] - 0s 793us/step - loss: 0.5582 Epoch 111/150 39/39 [==============================] - 0s 767us/step - loss: 0.5580 Epoch 112/150 39/39 [==============================] - 0s 716us/step - loss: 0.5589 Epoch 113/150 39/39 [==============================] - 0s 818us/step - loss: 0.5581 Epoch 114/150 39/39 [==============================] - 0s 793us/step - loss: 0.5572 Epoch 115/150 39/39 [==============================] - 0s 742us/step - loss: 0.5565 Epoch 116/150 39/39 [==============================] - 0s 793us/step - loss: 0.5566 Epoch 117/150 39/39 [==============================] - 0s 818us/step - loss: 0.5565 Epoch 118/150 39/39 [==============================] - 0s 716us/step - loss: 0.5569 Epoch 119/150 39/39 [==============================] - 0s 767us/step - loss: 0.5565 Epoch 120/150 39/39 [==============================] - 0s 793us/step - loss: 0.5553 Epoch 121/150 39/39 [==============================] - 0s 767us/step - loss: 0.5552 Epoch 122/150 39/39 [==============================] - 0s 742us/step - loss: 0.5563 Epoch 123/150 39/39 [==============================] - 0s 767us/step - loss: 0.5551 Epoch 124/150 39/39 [==============================] - 0s 767us/step - loss: 0.5542 Epoch 125/150 39/39 [==============================] - 0s 742us/step - loss: 0.5552 Epoch 126/150 39/39 [==============================] - 0s 793us/step - loss: 0.5541 Epoch 127/150 39/39 [==============================] - 0s 767us/step - loss: 0.5527 Epoch 128/150 39/39 [==============================] - 0s 742us/step - loss: 0.5529 Epoch 129/150 39/39 [==============================] - 0s 869us/step - loss: 0.5537 Epoch 130/150 39/39 [==============================] - 0s 793us/step - loss: 0.5531 Epoch 131/150 39/39 [==============================] - 0s 767us/step - loss: 0.5530 Epoch 132/150 39/39 [==============================] - 0s 818us/step - loss: 0.5529 Epoch 133/150 39/39 [==============================] - 0s 818us/step - loss: 0.5521 Epoch 134/150 39/39 [==============================] - 0s 767us/step - loss: 0.5524 Epoch 135/150 39/39 [==============================] - 0s 793us/step - loss: 0.5522 Epoch 136/150 39/39 [==============================] - 0s 818us/step - loss: 0.5522 Epoch 137/150 39/39 [==============================] - 0s 742us/step - loss: 0.5512 Epoch 138/150 39/39 [==============================] - 0s 818us/step - loss: 0.5513 Epoch 139/150 39/39 [==============================] - 0s 869us/step - loss: 0.5513 Epoch 140/150 39/39 [==============================] - 0s 742us/step - loss: 0.5508 Epoch 141/150 39/39 [==============================] - 0s 818us/step - loss: 0.5510 Epoch 142/150 39/39 [==============================] - 0s 818us/step - loss: 0.5504 Epoch 143/150 39/39 [==============================] - 0s 818us/step - loss: 0.5503 Epoch 144/150 39/39 [==============================] - 0s 793us/step - loss: 0.5497 Epoch 145/150 39/39 [==============================] - 0s 869us/step - loss: 0.5501 Epoch 146/150 39/39 [==============================] - 0s 844us/step - loss: 0.5496 Epoch 147/150 39/39 [==============================] - 0s 818us/step - loss: 0.5490 Epoch 148/150 39/39 [==============================] - 0s 818us/step - loss: 0.5502 Epoch 149/150 39/39 [==============================] - 0s 818us/step - loss: 0.5495 Epoch 150/150 39/39 [==============================] - 0s 767us/step - loss: 0.5478 ###################################################################### Accuracy: 74.14695351815946 Epoch 1/10 16/16 [==============================] - 0s 935us/step - loss: 1.0183 Epoch 2/10 16/16 [==============================] - 0s 873us/step - loss: 1.0150 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 1.0089 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9978 Epoch 5/10 16/16 [==============================] - 0s 997us/step - loss: 0.9824 Epoch 6/10 16/16 [==============================] - 0s 935us/step - loss: 0.9628 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.9411 Epoch 8/10 16/16 [==============================] - 0s 810us/step - loss: 0.9180 Epoch 9/10 16/16 [==============================] - 0s 810us/step - loss: 0.8959 Epoch 10/10 16/16 [==============================] - 0s 873us/step - loss: 0.8726 ###################################################################### Accuracy: 65.4871055929404 Epoch 1/10 1/16 [>.............................] - ETA: 0s - loss: 0.6947WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 16/16 [==============================] - 0s 1ms/step - loss: 0.9858 Epoch 2/10 16/16 [==============================] - 0s 873us/step - loss: 0.9816 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 0.9736 Epoch 4/10 16/16 [==============================] - 0s 1ms/step - loss: 0.9600 Epoch 5/10 16/16 [==============================] - 0s 903us/step - loss: 0.9410 Epoch 6/10 16/16 [==============================] - 0s 873us/step - loss: 0.9166 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.8861 Epoch 8/10 16/16 [==============================] - 0s 873us/step - loss: 0.8543 Epoch 9/10 16/16 [==============================] - 0s 935us/step - loss: 0.8196 Epoch 10/10 16/16 [==============================] - 0s 748us/step - loss: 0.7841 ###################################################################### Accuracy: 86.86924929988847 Epoch 1/10 16/16 [==============================] - 0s 997us/step - loss: 0.9764 Epoch 2/10 16/16 [==============================] - 0s 810us/step - loss: 0.9723 Epoch 3/10 16/16 [==============================] - 0s 810us/step - loss: 0.9647 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9522 Epoch 5/10 16/16 [==============================] - 0s 873us/step - loss: 0.9341 Epoch 6/10 16/16 [==============================] - 0s 810us/step - loss: 0.9100 Epoch 7/10 16/16 [==============================] - 0s 935us/step - loss: 0.8821 Epoch 8/10 16/16 [==============================] - 0s 935us/step - loss: 0.8527 Epoch 9/10 16/16 [==============================] - 0s 810us/step - loss: 0.8207 Epoch 10/10 16/16 [==============================] - 0s 873us/step - loss: 0.7890 ###################################################################### Accuracy: 94.96247860971485 Epoch 1/10 16/16 [==============================] - 0s 873us/step - loss: 1.0181 Epoch 2/10 16/16 [==============================] - 0s 810us/step - loss: 1.0129 Epoch 3/10 16/16 [==============================] - 0s 935us/step - loss: 1.0037 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9892 Epoch 5/10 16/16 [==============================] - 0s 810us/step - loss: 0.9677 Epoch 6/10 16/16 [==============================] - 0s 810us/step - loss: 0.9367 Epoch 7/10 16/16 [==============================] - 0s 935us/step - loss: 0.9002 Epoch 8/10 16/16 [==============================] - 0s 997us/step - loss: 0.8618 Epoch 9/10 16/16 [==============================] - 0s 810us/step - loss: 0.8200 Epoch 10/10 16/16 [==============================] - 0s 873us/step - loss: 0.7788 ###################################################################### Accuracy: 95.8613130615204 Epoch 1/10 16/16 [==============================] - 0s 935us/step - loss: 1.0014 Epoch 2/10 16/16 [==============================] - 0s 873us/step - loss: 0.9974 Epoch 3/10 16/16 [==============================] - 0s 873us/step - loss: 0.9885 Epoch 4/10 16/16 [==============================] - 0s 935us/step - loss: 0.9750 Epoch 5/10 16/16 [==============================] - 0s 873us/step - loss: 0.9578 Epoch 6/10 16/16 [==============================] - 0s 935us/step - loss: 0.9372 Epoch 7/10 16/16 [==============================] - 0s 935us/step - loss: 0.9142 Epoch 8/10 16/16 [==============================] - 0s 873us/step - loss: 0.8903 Epoch 9/10 16/16 [==============================] - 0s 748us/step - loss: 0.8668 Epoch 10/10 16/16 [==============================] - 0s 873us/step - loss: 0.8470 ###################################################################### Accuracy: 64.10794918403933 Epoch 1/20 16/16 [==============================] - 0s 934us/step - loss: 1.0176 Epoch 2/20 16/16 [==============================] - 0s 873us/step - loss: 1.0126 Epoch 3/20 16/16 [==============================] - 0s 1ms/step - loss: 1.0035 Epoch 4/20 16/16 [==============================] - 0s 935us/step - loss: 0.9902 Epoch 5/20 16/16 [==============================] - 0s 873us/step - loss: 0.9724 Epoch 6/20 16/16 [==============================] - 0s 873us/step - loss: 0.9504 Epoch 7/20 16/16 [==============================] - 0s 873us/step - loss: 0.9241 Epoch 8/20 16/16 [==============================] - 0s 810us/step - loss: 0.8967 Epoch 9/20 16/16 [==============================] - 0s 810us/step - loss: 0.8653 Epoch 10/20 16/16 [==============================] - 0s 810us/step - loss: 0.8348 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.8038 Epoch 12/20 16/16 [==============================] - 0s 810us/step - loss: 0.7755 Epoch 13/20 16/16 [==============================] - 0s 873us/step - loss: 0.7505 Epoch 14/20 16/16 [==============================] - 0s 935us/step - loss: 0.7275 Epoch 15/20 16/16 [==============================] - 0s 810us/step - loss: 0.7057 Epoch 16/20 16/16 [==============================] - 0s 810us/step - loss: 0.6877 Epoch 17/20 16/16 [==============================] - 0s 748us/step - loss: 0.6725 Epoch 18/20 16/16 [==============================] - 0s 810us/step - loss: 0.6619 Epoch 19/20 16/16 [==============================] - 0s 810us/step - loss: 0.6533 Epoch 20/20 16/16 [==============================] - 0s 873us/step - loss: 0.6458 ###################################################################### Accuracy: 73.7290525429 Epoch 1/20 1/16 [>.............................] - ETA: 0s - loss: 0.8934WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 16/16 [==============================] - 0s 998us/step - loss: 0.9863 Epoch 2/20 16/16 [==============================] - 0s 997us/step - loss: 0.9835 Epoch 3/20 16/16 [==============================] - 0s 810us/step - loss: 0.9760 Epoch 4/20 16/16 [==============================] - 0s 810us/step - loss: 0.9622 Epoch 5/20 16/16 [==============================] - 0s 873us/step - loss: 0.9431 Epoch 6/20 16/16 [==============================] - 0s 1ms/step - loss: 0.9213 Epoch 7/20 16/16 [==============================] - 0s 935us/step - loss: 0.8973 Epoch 8/20 16/16 [==============================] - 0s 935us/step - loss: 0.8726 Epoch 9/20 16/16 [==============================] - 0s 873us/step - loss: 0.8444 Epoch 10/20 16/16 [==============================] - 0s 810us/step - loss: 0.8177 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.7929 Epoch 12/20 16/16 [==============================] - 0s 810us/step - loss: 0.7709 Epoch 13/20 16/16 [==============================] - 0s 935us/step - loss: 0.7515 Epoch 14/20 16/16 [==============================] - 0s 810us/step - loss: 0.7339 Epoch 15/20 16/16 [==============================] - 0s 810us/step - loss: 0.7177 Epoch 16/20 16/16 [==============================] - 0s 810us/step - loss: 0.7052 Epoch 17/20 16/16 [==============================] - 0s 810us/step - loss: 0.6926 Epoch 18/20 16/16 [==============================] - 0s 810us/step - loss: 0.6820 Epoch 19/20 16/16 [==============================] - 0s 748us/step - loss: 0.6733 Epoch 20/20 16/16 [==============================] - 0s 873us/step - loss: 0.6638 ###################################################################### Accuracy: 80.31812069479376 Epoch 1/20 16/16 [==============================] - 0s 873us/step - loss: 0.9754 Epoch 2/20 16/16 [==============================] - 0s 873us/step - loss: 0.9717 Epoch 3/20 16/16 [==============================] - 0s 873us/step - loss: 0.9654 Epoch 4/20 16/16 [==============================] - 0s 873us/step - loss: 0.9536 Epoch 5/20 16/16 [==============================] - 0s 873us/step - loss: 0.9372 Epoch 6/20 16/16 [==============================] - 0s 810us/step - loss: 0.9173 Epoch 7/20 16/16 [==============================] - 0s 997us/step - loss: 0.8938 Epoch 8/20 16/16 [==============================] - 0s 935us/step - loss: 0.8666 Epoch 9/20 16/16 [==============================] - 0s 935us/step - loss: 0.8393 Epoch 10/20 16/16 [==============================] - 0s 935us/step - loss: 0.8103 Epoch 11/20 16/16 [==============================] - 0s 810us/step - loss: 0.7874 Epoch 12/20 16/16 [==============================] - 0s 873us/step - loss: 0.7674 Epoch 13/20 16/16 [==============================] - 0s 997us/step - loss: 0.7517 Epoch 14/20 16/16 [==============================] - 0s 873us/step - loss: 0.7407 Epoch 15/20 16/16 [==============================] - 0s 873us/step - loss: 0.7322 Epoch 16/20 16/16 [==============================] - 0s 873us/step - loss: 0.7253 Epoch 17/20 16/16 [==============================] - 0s 810us/step - loss: 0.7193 Epoch 18/20 16/16 [==============================] - 0s 873us/step - loss: 0.7127 Epoch 19/20 16/16 [==============================] - 0s 873us/step - loss: 0.7065 Epoch 20/20 16/16 [==============================] - 0s 810us/step - loss: 0.7008 ###################################################################### Accuracy: 115.1507275231086 Epoch 1/20 16/16 [==============================] - 0s 935us/step - loss: 1.0177 Epoch 2/20 16/16 [==============================] - 0s 935us/step - loss: 1.0130 Epoch 3/20 16/16 [==============================] - 0s 873us/step - loss: 1.0063 Epoch 4/20 16/16 [==============================] - 0s 935us/step - loss: 0.9962 Epoch 5/20 16/16 [==============================] - 0s 935us/step - loss: 0.9827 Epoch 6/20 16/16 [==============================] - 0s 873us/step - loss: 0.9641 Epoch 7/20 16/16 [==============================] - 0s 873us/step - loss: 0.9402 Epoch 8/20 16/16 [==============================] - 0s 873us/step - loss: 0.9118 Epoch 9/20 16/16 [==============================] - 0s 810us/step - loss: 0.8800 Epoch 10/20 16/16 [==============================] - 0s 873us/step - loss: 0.8468 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.8138 Epoch 12/20 16/16 [==============================] - 0s 873us/step - loss: 0.7792 Epoch 13/20 16/16 [==============================] - 0s 873us/step - loss: 0.7488 Epoch 14/20 16/16 [==============================] - 0s 810us/step - loss: 0.7215 Epoch 15/20 16/16 [==============================] - 0s 873us/step - loss: 0.6990 Epoch 16/20 16/16 [==============================] - 0s 810us/step - loss: 0.6828 Epoch 17/20 16/16 [==============================] - 0s 748us/step - loss: 0.6708 Epoch 18/20 16/16 [==============================] - 0s 873us/step - loss: 0.6625 Epoch 19/20 16/16 [==============================] - 0s 810us/step - loss: 0.6582 Epoch 20/20 16/16 [==============================] - 0s 810us/step - loss: 0.6561 ###################################################################### Accuracy: 76.01466606285636 Epoch 1/20 16/16 [==============================] - 0s 873us/step - loss: 1.0016 Epoch 2/20 16/16 [==============================] - 0s 873us/step - loss: 0.9980 Epoch 3/20 16/16 [==============================] - 0s 935us/step - loss: 0.9904 Epoch 4/20 16/16 [==============================] - 0s 935us/step - loss: 0.9786 Epoch 5/20 16/16 [==============================] - 0s 873us/step - loss: 0.9616 Epoch 6/20 16/16 [==============================] - 0s 935us/step - loss: 0.9405 Epoch 7/20 16/16 [==============================] - 0s 873us/step - loss: 0.9154 Epoch 8/20 16/16 [==============================] - 0s 873us/step - loss: 0.8841 Epoch 9/20 16/16 [==============================] - 0s 810us/step - loss: 0.8478 Epoch 10/20 16/16 [==============================] - 0s 873us/step - loss: 0.8122 Epoch 11/20 16/16 [==============================] - 0s 873us/step - loss: 0.7778 Epoch 12/20 16/16 [==============================] - 0s 810us/step - loss: 0.7416 Epoch 13/20 16/16 [==============================] - 0s 873us/step - loss: 0.7099 Epoch 14/20 16/16 [==============================] - 0s 748us/step - loss: 0.6845 Epoch 15/20 16/16 [==============================] - 0s 935us/step - loss: 0.6652 Epoch 16/20 16/16 [==============================] - 0s 810us/step - loss: 0.6525 Epoch 17/20 16/16 [==============================] - 0s 810us/step - loss: 0.6448 Epoch 18/20 16/16 [==============================] - 0s 935us/step - loss: 0.6401 Epoch 19/20 16/16 [==============================] - 0s 935us/step - loss: 0.6360 Epoch 20/20 16/16 [==============================] - 0s 810us/step - loss: 0.6335 ###################################################################### Accuracy: 76.74626166298569 Epoch 1/50 1/16 [>.............................] - ETA: 0s - loss: 1.0129WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 16/16 [==============================] - 0s 1ms/step - loss: 1.0165 Epoch 2/50 16/16 [==============================] - 0s 935us/step - loss: 1.0073 Epoch 3/50 16/16 [==============================] - 0s 935us/step - loss: 0.9904 Epoch 4/50 16/16 [==============================] - 0s 935us/step - loss: 0.9661 Epoch 5/50 16/16 [==============================] - 0s 873us/step - loss: 0.9336 Epoch 6/50 16/16 [==============================] - 0s 873us/step - loss: 0.8949 Epoch 7/50 16/16 [==============================] - 0s 873us/step - loss: 0.8550 Epoch 8/50 16/16 [==============================] - 0s 873us/step - loss: 0.8131 Epoch 9/50 16/16 [==============================] - 0s 873us/step - loss: 0.7739 Epoch 10/50 16/16 [==============================] - 0s 810us/step - loss: 0.7396 Epoch 11/50 16/16 [==============================] - 0s 810us/step - loss: 0.7083 Epoch 12/50 16/16 [==============================] - 0s 873us/step - loss: 0.6853 Epoch 13/50 16/16 [==============================] - 0s 810us/step - loss: 0.6665 Epoch 14/50 16/16 [==============================] - 0s 873us/step - loss: 0.6556 Epoch 15/50 16/16 [==============================] - 0s 810us/step - loss: 0.6487 Epoch 16/50 16/16 [==============================] - 0s 810us/step - loss: 0.6433 Epoch 17/50 16/16 [==============================] - 0s 810us/step - loss: 0.6393 Epoch 18/50 16/16 [==============================] - 0s 810us/step - loss: 0.6358 Epoch 19/50 16/16 [==============================] - 0s 935us/step - loss: 0.6342 Epoch 20/50 16/16 [==============================] - 0s 810us/step - loss: 0.6306 Epoch 21/50 16/16 [==============================] - 0s 873us/step - loss: 0.6281 Epoch 22/50 16/16 [==============================] - 0s 810us/step - loss: 0.6259 Epoch 23/50 16/16 [==============================] - 0s 935us/step - loss: 0.6243 Epoch 24/50 16/16 [==============================] - 0s 810us/step - loss: 0.6225 Epoch 25/50 16/16 [==============================] - 0s 873us/step - loss: 0.6197 Epoch 26/50 16/16 [==============================] - 0s 810us/step - loss: 0.6186 Epoch 27/50 16/16 [==============================] - 0s 873us/step - loss: 0.6164 Epoch 28/50 16/16 [==============================] - 0s 873us/step - loss: 0.6153 Epoch 29/50 16/16 [==============================] - 0s 873us/step - loss: 0.6128 Epoch 30/50 16/16 [==============================] - 0s 810us/step - loss: 0.6109 Epoch 31/50 16/16 [==============================] - 0s 935us/step - loss: 0.6087 Epoch 32/50 16/16 [==============================] - 0s 810us/step - loss: 0.6073 Epoch 33/50 16/16 [==============================] - 0s 810us/step - loss: 0.6060 Epoch 34/50 16/16 [==============================] - 0s 873us/step - loss: 0.6045 Epoch 35/50 16/16 [==============================] - 0s 748us/step - loss: 0.6019 Epoch 36/50 16/16 [==============================] - 0s 935us/step - loss: 0.6012 Epoch 37/50 16/16 [==============================] - 0s 810us/step - loss: 0.5994 Epoch 38/50 16/16 [==============================] - 0s 935us/step - loss: 0.5984 Epoch 39/50 16/16 [==============================] - 0s 935us/step - loss: 0.5986 Epoch 40/50 16/16 [==============================] - 0s 810us/step - loss: 0.5960 Epoch 41/50 16/16 [==============================] - 0s 810us/step - loss: 0.5955 Epoch 42/50 16/16 [==============================] - 0s 997us/step - loss: 0.5940 Epoch 43/50 16/16 [==============================] - 0s 810us/step - loss: 0.5933 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.5912 Epoch 45/50 16/16 [==============================] - 0s 935us/step - loss: 0.5904 Epoch 46/50 16/16 [==============================] - 0s 873us/step - loss: 0.5886 Epoch 47/50 16/16 [==============================] - 0s 873us/step - loss: 0.5874 Epoch 48/50 16/16 [==============================] - 0s 935us/step - loss: 0.5874 Epoch 49/50 16/16 [==============================] - 0s 748us/step - loss: 0.5861 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.5843 ###################################################################### Accuracy: 69.34802417897706 Epoch 1/50 16/16 [==============================] - 0s 934us/step - loss: 0.9848 Epoch 2/50 16/16 [==============================] - 0s 873us/step - loss: 0.9795 Epoch 3/50 16/16 [==============================] - 0s 873us/step - loss: 0.9683 Epoch 4/50 16/16 [==============================] - 0s 997us/step - loss: 0.9497 Epoch 5/50 16/16 [==============================] - 0s 935us/step - loss: 0.9249 Epoch 6/50 16/16 [==============================] - 0s 810us/step - loss: 0.8949 Epoch 7/50 16/16 [==============================] - 0s 935us/step - loss: 0.8585 Epoch 8/50 16/16 [==============================] - 0s 935us/step - loss: 0.8208 Epoch 9/50 16/16 [==============================] - 0s 810us/step - loss: 0.7826 Epoch 10/50 16/16 [==============================] - 0s 873us/step - loss: 0.7452 Epoch 11/50 16/16 [==============================] - 0s 810us/step - loss: 0.7154 Epoch 12/50 16/16 [==============================] - 0s 873us/step - loss: 0.6910 Epoch 13/50 16/16 [==============================] - 0s 935us/step - loss: 0.6713 Epoch 14/50 16/16 [==============================] - 0s 810us/step - loss: 0.6610 Epoch 15/50 16/16 [==============================] - 0s 873us/step - loss: 0.6527 Epoch 16/50 16/16 [==============================] - 0s 748us/step - loss: 0.6444 Epoch 17/50 16/16 [==============================] - 0s 873us/step - loss: 0.6409 Epoch 18/50 16/16 [==============================] - 0s 873us/step - loss: 0.6367 Epoch 19/50 16/16 [==============================] - 0s 748us/step - loss: 0.6344 Epoch 20/50 16/16 [==============================] - 0s 810us/step - loss: 0.6321 Epoch 21/50 16/16 [==============================] - 0s 873us/step - loss: 0.6301 Epoch 22/50 16/16 [==============================] - 0s 810us/step - loss: 0.6276 Epoch 23/50 16/16 [==============================] - 0s 873us/step - loss: 0.6266 Epoch 24/50 16/16 [==============================] - 0s 873us/step - loss: 0.6248 Epoch 25/50 16/16 [==============================] - 0s 873us/step - loss: 0.6223 Epoch 26/50 16/16 [==============================] - 0s 873us/step - loss: 0.6206 Epoch 27/50 16/16 [==============================] - 0s 935us/step - loss: 0.6188 Epoch 28/50 16/16 [==============================] - 0s 873us/step - loss: 0.6174 Epoch 29/50 16/16 [==============================] - 0s 873us/step - loss: 0.6157 Epoch 30/50 16/16 [==============================] - 0s 873us/step - loss: 0.6134 Epoch 31/50 16/16 [==============================] - 0s 873us/step - loss: 0.6122 Epoch 32/50 16/16 [==============================] - 0s 873us/step - loss: 0.6104 Epoch 33/50 16/16 [==============================] - 0s 810us/step - loss: 0.6092 Epoch 34/50 16/16 [==============================] - 0s 873us/step - loss: 0.6076 Epoch 35/50 16/16 [==============================] - 0s 873us/step - loss: 0.6068 Epoch 36/50 16/16 [==============================] - 0s 810us/step - loss: 0.6041 Epoch 37/50 16/16 [==============================] - 0s 810us/step - loss: 0.6026 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.6019 Epoch 39/50 16/16 [==============================] - 0s 873us/step - loss: 0.6002 Epoch 40/50 16/16 [==============================] - 0s 873us/step - loss: 0.5997 Epoch 41/50 16/16 [==============================] - 0s 810us/step - loss: 0.5978 Epoch 42/50 16/16 [==============================] - 0s 935us/step - loss: 0.5963 Epoch 43/50 16/16 [==============================] - 0s 873us/step - loss: 0.5951 Epoch 44/50 16/16 [==============================] - 0s 748us/step - loss: 0.5951 Epoch 45/50 16/16 [==============================] - 0s 810us/step - loss: 0.5934 Epoch 46/50 16/16 [==============================] - 0s 873us/step - loss: 0.5917 Epoch 47/50 16/16 [==============================] - 0s 935us/step - loss: 0.5910 Epoch 48/50 16/16 [==============================] - 0s 810us/step - loss: 0.5904 Epoch 49/50 16/16 [==============================] - 0s 810us/step - loss: 0.5886 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.5877 ###################################################################### Accuracy: 72.08451767109112 Epoch 1/50 1/16 [>.............................] - ETA: 0s - loss: 0.5988WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 16/16 [==============================] - 0s 935us/step - loss: 0.9749 Epoch 2/50 16/16 [==============================] - 0s 782us/step - loss: 0.9684 Epoch 3/50 16/16 [==============================] - 0s 686us/step - loss: 0.9574 Epoch 4/50 16/16 [==============================] - 0s 810us/step - loss: 0.9415 Epoch 5/50 16/16 [==============================] - 0s 748us/step - loss: 0.9203 Epoch 6/50 16/16 [==============================] - 0s 748us/step - loss: 0.8924 Epoch 7/50 16/16 [==============================] - 0s 810us/step - loss: 0.8601 Epoch 8/50 16/16 [==============================] - 0s 686us/step - loss: 0.8245 Epoch 9/50 16/16 [==============================] - 0s 748us/step - loss: 0.7872 Epoch 10/50 16/16 [==============================] - 0s 686us/step - loss: 0.7498 Epoch 11/50 16/16 [==============================] - 0s 686us/step - loss: 0.7156 Epoch 12/50 16/16 [==============================] - 0s 686us/step - loss: 0.6876 Epoch 13/50 16/16 [==============================] - 0s 686us/step - loss: 0.6654 Epoch 14/50 16/16 [==============================] - 0s 685us/step - loss: 0.6491 Epoch 15/50 16/16 [==============================] - 0s 686us/step - loss: 0.6382 Epoch 16/50 16/16 [==============================] - 0s 686us/step - loss: 0.6297 Epoch 17/50 16/16 [==============================] - 0s 748us/step - loss: 0.6244 Epoch 18/50 16/16 [==============================] - 0s 686us/step - loss: 0.6204 Epoch 19/50 16/16 [==============================] - 0s 748us/step - loss: 0.6183 Epoch 20/50 16/16 [==============================] - 0s 686us/step - loss: 0.6161 Epoch 21/50 16/16 [==============================] - 0s 873us/step - loss: 0.6138 Epoch 22/50 16/16 [==============================] - 0s 935us/step - loss: 0.6125 Epoch 23/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6103 Epoch 24/50 16/16 [==============================] - 0s 873us/step - loss: 0.6092 Epoch 25/50 16/16 [==============================] - 0s 873us/step - loss: 0.6068 Epoch 26/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6056 Epoch 27/50 16/16 [==============================] - 0s 935us/step - loss: 0.6044 Epoch 28/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6028 Epoch 29/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6020 Epoch 30/50 16/16 [==============================] - 0s 1ms/step - loss: 0.6003 Epoch 31/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5993 Epoch 32/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5977 Epoch 33/50 16/16 [==============================] - 0s 1ms/step - loss: 0.5963 Epoch 34/50 16/16 [==============================] - 0s 935us/step - loss: 0.5949 Epoch 35/50 16/16 [==============================] - 0s 810us/step - loss: 0.5942 Epoch 36/50 16/16 [==============================] - 0s 997us/step - loss: 0.5923 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.5917 Epoch 38/50 16/16 [==============================] - 0s 997us/step - loss: 0.5911 Epoch 39/50 16/16 [==============================] - 0s 935us/step - loss: 0.5894 Epoch 40/50 16/16 [==============================] - 0s 873us/step - loss: 0.5890 Epoch 41/50 16/16 [==============================] - 0s 810us/step - loss: 0.5878 Epoch 42/50 16/16 [==============================] - 0s 810us/step - loss: 0.5868 Epoch 43/50 16/16 [==============================] - 0s 873us/step - loss: 0.5853 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.5850 Epoch 45/50 16/16 [==============================] - 0s 935us/step - loss: 0.5842 Epoch 46/50 16/16 [==============================] - 0s 810us/step - loss: 0.5831 Epoch 47/50 16/16 [==============================] - 0s 873us/step - loss: 0.5827 Epoch 48/50 16/16 [==============================] - 0s 810us/step - loss: 0.5821 Epoch 49/50 16/16 [==============================] - 0s 873us/step - loss: 0.5810 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.5807 ###################################################################### Accuracy: 89.44810530867106 Epoch 1/50 16/16 [==============================] - 0s 935us/step - loss: 1.0174 Epoch 2/50 16/16 [==============================] - 0s 935us/step - loss: 1.0128 Epoch 3/50 16/16 [==============================] - 0s 873us/step - loss: 1.0042 Epoch 4/50 16/16 [==============================] - 0s 810us/step - loss: 0.9877 Epoch 5/50 16/16 [==============================] - 0s 935us/step - loss: 0.9647 Epoch 6/50 16/16 [==============================] - 0s 810us/step - loss: 0.9346 Epoch 7/50 16/16 [==============================] - 0s 935us/step - loss: 0.9002 Epoch 8/50 16/16 [==============================] - 0s 935us/step - loss: 0.8631 Epoch 9/50 16/16 [==============================] - 0s 873us/step - loss: 0.8264 Epoch 10/50 16/16 [==============================] - 0s 810us/step - loss: 0.7931 Epoch 11/50 16/16 [==============================] - 0s 873us/step - loss: 0.7615 Epoch 12/50 16/16 [==============================] - 0s 997us/step - loss: 0.7364 Epoch 13/50 16/16 [==============================] - 0s 873us/step - loss: 0.7179 Epoch 14/50 16/16 [==============================] - 0s 810us/step - loss: 0.7018 Epoch 15/50 16/16 [==============================] - 0s 810us/step - loss: 0.6896 Epoch 16/50 16/16 [==============================] - 0s 810us/step - loss: 0.6794 Epoch 17/50 16/16 [==============================] - 0s 810us/step - loss: 0.6707 Epoch 18/50 16/16 [==============================] - 0s 873us/step - loss: 0.6647 Epoch 19/50 16/16 [==============================] - 0s 873us/step - loss: 0.6593 Epoch 20/50 16/16 [==============================] - 0s 935us/step - loss: 0.6556 Epoch 21/50 16/16 [==============================] - 0s 873us/step - loss: 0.6516 Epoch 22/50 16/16 [==============================] - 0s 873us/step - loss: 0.6491 Epoch 23/50 16/16 [==============================] - 0s 873us/step - loss: 0.6480 Epoch 24/50 16/16 [==============================] - 0s 935us/step - loss: 0.6461 Epoch 25/50 16/16 [==============================] - 0s 873us/step - loss: 0.6451 Epoch 26/50 16/16 [==============================] - 0s 810us/step - loss: 0.6434 Epoch 27/50 16/16 [==============================] - 0s 873us/step - loss: 0.6429 Epoch 28/50 16/16 [==============================] - 0s 873us/step - loss: 0.6414 Epoch 29/50 16/16 [==============================] - 0s 935us/step - loss: 0.6407 Epoch 30/50 16/16 [==============================] - 0s 873us/step - loss: 0.6404 Epoch 31/50 16/16 [==============================] - 0s 748us/step - loss: 0.6387 Epoch 32/50 16/16 [==============================] - 0s 935us/step - loss: 0.6391 Epoch 33/50 16/16 [==============================] - 0s 873us/step - loss: 0.6377 Epoch 34/50 16/16 [==============================] - 0s 810us/step - loss: 0.6377 Epoch 35/50 16/16 [==============================] - 0s 935us/step - loss: 0.6372 Epoch 36/50 16/16 [==============================] - 0s 873us/step - loss: 0.6366 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.6356 Epoch 38/50 16/16 [==============================] - 0s 810us/step - loss: 0.6354 Epoch 39/50 16/16 [==============================] - 0s 810us/step - loss: 0.6347 Epoch 40/50 16/16 [==============================] - 0s 873us/step - loss: 0.6355 Epoch 41/50 16/16 [==============================] - 0s 810us/step - loss: 0.6340 Epoch 42/50 16/16 [==============================] - 0s 935us/step - loss: 0.6339 Epoch 43/50 16/16 [==============================] - 0s 873us/step - loss: 0.6332 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.6333 Epoch 45/50 16/16 [==============================] - 0s 810us/step - loss: 0.6326 Epoch 46/50 16/16 [==============================] - 0s 873us/step - loss: 0.6321 Epoch 47/50 16/16 [==============================] - 0s 873us/step - loss: 0.6323 Epoch 48/50 16/16 [==============================] - 0s 873us/step - loss: 0.6320 Epoch 49/50 16/16 [==============================] - 0s 873us/step - loss: 0.6316 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.6310 ###################################################################### Accuracy: 74.09780402705243 Epoch 1/50 16/16 [==============================] - 0s 935us/step - loss: 1.0002 Epoch 2/50 16/16 [==============================] - 0s 935us/step - loss: 0.9939 Epoch 3/50 16/16 [==============================] - 0s 748us/step - loss: 0.9829 Epoch 4/50 16/16 [==============================] - 0s 935us/step - loss: 0.9678 Epoch 5/50 16/16 [==============================] - 0s 935us/step - loss: 0.9476 Epoch 6/50 16/16 [==============================] - 0s 873us/step - loss: 0.9213 Epoch 7/50 16/16 [==============================] - 0s 810us/step - loss: 0.8928 Epoch 8/50 16/16 [==============================] - 0s 810us/step - loss: 0.8598 Epoch 9/50 16/16 [==============================] - 0s 935us/step - loss: 0.8227 Epoch 10/50 16/16 [==============================] - 0s 873us/step - loss: 0.7878 Epoch 11/50 16/16 [==============================] - 0s 873us/step - loss: 0.7536 Epoch 12/50 16/16 [==============================] - 0s 811us/step - loss: 0.7233 Epoch 13/50 16/16 [==============================] - 0s 873us/step - loss: 0.6958 Epoch 14/50 16/16 [==============================] - 0s 935us/step - loss: 0.6748 Epoch 15/50 16/16 [==============================] - 0s 873us/step - loss: 0.6590 Epoch 16/50 16/16 [==============================] - 0s 810us/step - loss: 0.6491 Epoch 17/50 16/16 [==============================] - 0s 873us/step - loss: 0.6423 Epoch 18/50 16/16 [==============================] - 0s 935us/step - loss: 0.6371 Epoch 19/50 16/16 [==============================] - 0s 810us/step - loss: 0.6339 Epoch 20/50 16/16 [==============================] - 0s 873us/step - loss: 0.6307 Epoch 21/50 16/16 [==============================] - 0s 935us/step - loss: 0.6281 Epoch 22/50 16/16 [==============================] - 0s 873us/step - loss: 0.6265 Epoch 23/50 16/16 [==============================] - 0s 873us/step - loss: 0.6239 Epoch 24/50 16/16 [==============================] - 0s 935us/step - loss: 0.6221 Epoch 25/50 16/16 [==============================] - 0s 935us/step - loss: 0.6204 Epoch 26/50 16/16 [==============================] - 0s 873us/step - loss: 0.6191 Epoch 27/50 16/16 [==============================] - 0s 873us/step - loss: 0.6170 Epoch 28/50 16/16 [==============================] - 0s 810us/step - loss: 0.6153 Epoch 29/50 16/16 [==============================] - 0s 873us/step - loss: 0.6135 Epoch 30/50 16/16 [==============================] - 0s 935us/step - loss: 0.6121 Epoch 31/50 16/16 [==============================] - 0s 873us/step - loss: 0.6104 Epoch 32/50 16/16 [==============================] - 0s 873us/step - loss: 0.6090 Epoch 33/50 16/16 [==============================] - 0s 873us/step - loss: 0.6070 Epoch 34/50 16/16 [==============================] - 0s 997us/step - loss: 0.6053 Epoch 35/50 16/16 [==============================] - 0s 997us/step - loss: 0.6042 Epoch 36/50 16/16 [==============================] - 0s 935us/step - loss: 0.6024 Epoch 37/50 16/16 [==============================] - 0s 935us/step - loss: 0.6008 Epoch 38/50 16/16 [==============================] - 0s 873us/step - loss: 0.5995 Epoch 39/50 16/16 [==============================] - 0s 873us/step - loss: 0.5985 Epoch 40/50 16/16 [==============================] - 0s 873us/step - loss: 0.5964 Epoch 41/50 16/16 [==============================] - 0s 873us/step - loss: 0.5953 Epoch 42/50 16/16 [==============================] - 0s 810us/step - loss: 0.5935 Epoch 43/50 16/16 [==============================] - 0s 873us/step - loss: 0.5920 Epoch 44/50 16/16 [==============================] - 0s 873us/step - loss: 0.5908 Epoch 45/50 16/16 [==============================] - 0s 810us/step - loss: 0.5897 Epoch 46/50 16/16 [==============================] - 0s 873us/step - loss: 0.5889 Epoch 47/50 16/16 [==============================] - ETA: 0s - loss: 0.542 - 0s 873us/step - loss: 0.5877 Epoch 48/50 16/16 [==============================] - 0s 873us/step - loss: 0.5863 Epoch 49/50 16/16 [==============================] - 0s 873us/step - loss: 0.5861 Epoch 50/50 16/16 [==============================] - 0s 873us/step - loss: 0.5840 ###################################################################### Accuracy: 73.09737614828903 Epoch 1/100 16/16 [==============================] - 0s 935us/step - loss: 1.0175 Epoch 2/100 16/16 [==============================] - 0s 873us/step - loss: 1.0100 Epoch 3/100 16/16 [==============================] - 0s 810us/step - loss: 0.9971 Epoch 4/100 16/16 [==============================] - 0s 935us/step - loss: 0.9771 Epoch 5/100 16/16 [==============================] - 0s 810us/step - loss: 0.9510 Epoch 6/100 16/16 [==============================] - 0s 873us/step - loss: 0.9197 Epoch 7/100 16/16 [==============================] - 0s 873us/step - loss: 0.8856 Epoch 8/100 16/16 [==============================] - 0s 935us/step - loss: 0.8477 Epoch 9/100 16/16 [==============================] - 0s 810us/step - loss: 0.8098 Epoch 10/100 16/16 [==============================] - 0s 935us/step - loss: 0.7759 Epoch 11/100 16/16 [==============================] - 0s 873us/step - loss: 0.7481 Epoch 12/100 16/16 [==============================] - 0s 810us/step - loss: 0.7203 Epoch 13/100 16/16 [==============================] - 0s 810us/step - loss: 0.6971 Epoch 14/100 16/16 [==============================] - 0s 873us/step - loss: 0.6785 Epoch 15/100 16/16 [==============================] - 0s 810us/step - loss: 0.6641 Epoch 16/100 16/16 [==============================] - 0s 810us/step - loss: 0.6532 Epoch 17/100 16/16 [==============================] - 0s 810us/step - loss: 0.6453 Epoch 18/100 16/16 [==============================] - 0s 810us/step - loss: 0.6394 Epoch 19/100 16/16 [==============================] - 0s 935us/step - loss: 0.6349 Epoch 20/100 16/16 [==============================] - 0s 810us/step - loss: 0.6321 Epoch 21/100 16/16 [==============================] - 0s 810us/step - loss: 0.6294 Epoch 22/100 16/16 [==============================] - 0s 810us/step - loss: 0.6264 Epoch 23/100 16/16 [==============================] - 0s 935us/step - loss: 0.6244 Epoch 24/100 16/16 [==============================] - 0s 810us/step - loss: 0.6235 Epoch 25/100 16/16 [==============================] - 0s 873us/step - loss: 0.6212 Epoch 26/100 16/16 [==============================] - 0s 873us/step - loss: 0.6204 Epoch 27/100 16/16 [==============================] - 0s 810us/step - loss: 0.6182 Epoch 28/100 16/16 [==============================] - 0s 873us/step - loss: 0.6167 Epoch 29/100 16/16 [==============================] - 0s 873us/step - loss: 0.6148 Epoch 30/100 16/16 [==============================] - 0s 873us/step - loss: 0.6143 Epoch 31/100 16/16 [==============================] - 0s 810us/step - loss: 0.6119 Epoch 32/100 16/16 [==============================] - 0s 873us/step - loss: 0.6101 Epoch 33/100 16/16 [==============================] - 0s 873us/step - loss: 0.6088 Epoch 34/100 16/16 [==============================] - 0s 997us/step - loss: 0.6073 Epoch 35/100 16/16 [==============================] - 0s 873us/step - loss: 0.6060 Epoch 36/100 16/16 [==============================] - 0s 873us/step - loss: 0.6045 Epoch 37/100 16/16 [==============================] - 0s 935us/step - loss: 0.6030 Epoch 38/100 16/16 [==============================] - 0s 873us/step - loss: 0.6022 Epoch 39/100 16/16 [==============================] - 0s 810us/step - loss: 0.6009 Epoch 40/100 16/16 [==============================] - 0s 935us/step - loss: 0.5995 Epoch 41/100 16/16 [==============================] - 0s 810us/step - loss: 0.5980 Epoch 42/100 16/16 [==============================] - 0s 810us/step - loss: 0.5966 Epoch 43/100 16/16 [==============================] - 0s 935us/step - loss: 0.5958 Epoch 44/100 16/16 [==============================] - 0s 873us/step - loss: 0.5949 Epoch 45/100 16/16 [==============================] - 0s 810us/step - loss: 0.5949 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.5928 Epoch 47/100 16/16 [==============================] - ETA: 0s - loss: 0.733 - 0s 873us/step - loss: 0.5914 Epoch 48/100 16/16 [==============================] - 0s 810us/step - loss: 0.5904 Epoch 49/100 16/16 [==============================] - 0s 873us/step - loss: 0.5889 Epoch 50/100 16/16 [==============================] - 0s 810us/step - loss: 0.5883 Epoch 51/100 16/16 [==============================] - 0s 873us/step - loss: 0.5872 Epoch 52/100 16/16 [==============================] - 0s 810us/step - loss: 0.5863 Epoch 53/100 16/16 [==============================] - 0s 873us/step - loss: 0.5852 Epoch 54/100 16/16 [==============================] - 0s 810us/step - loss: 0.5836 Epoch 55/100 16/16 [==============================] - 0s 935us/step - loss: 0.5836 Epoch 56/100 16/16 [==============================] - 0s 873us/step - loss: 0.5815 Epoch 57/100 16/16 [==============================] - 0s 810us/step - loss: 0.5814 Epoch 58/100 16/16 [==============================] - 0s 873us/step - loss: 0.5805 Epoch 59/100 16/16 [==============================] - 0s 748us/step - loss: 0.5793 Epoch 60/100 16/16 [==============================] - 0s 810us/step - loss: 0.5786 Epoch 61/100 16/16 [==============================] - 0s 810us/step - loss: 0.5782 Epoch 62/100 16/16 [==============================] - 0s 936us/step - loss: 0.5769 Epoch 63/100 16/16 [==============================] - 0s 810us/step - loss: 0.5764 Epoch 64/100 16/16 [==============================] - 0s 873us/step - loss: 0.5757 Epoch 65/100 16/16 [==============================] - 0s 810us/step - loss: 0.5743 Epoch 66/100 16/16 [==============================] - 0s 873us/step - loss: 0.5742 Epoch 67/100 16/16 [==============================] - 0s 873us/step - loss: 0.5739 Epoch 68/100 16/16 [==============================] - 0s 935us/step - loss: 0.5723 Epoch 69/100 16/16 [==============================] - 0s 874us/step - loss: 0.5721 Epoch 70/100 16/16 [==============================] - 0s 872us/step - loss: 0.5711 Epoch 71/100 16/16 [==============================] - 0s 873us/step - loss: 0.5705 Epoch 72/100 16/16 [==============================] - 0s 873us/step - loss: 0.5706 Epoch 73/100 16/16 [==============================] - 0s 810us/step - loss: 0.5693 Epoch 74/100 16/16 [==============================] - 0s 810us/step - loss: 0.5689 Epoch 75/100 16/16 [==============================] - 0s 873us/step - loss: 0.5685 Epoch 76/100 16/16 [==============================] - 0s 810us/step - loss: 0.5675 Epoch 77/100 16/16 [==============================] - 0s 935us/step - loss: 0.5675 Epoch 78/100 16/16 [==============================] - 0s 935us/step - loss: 0.5664 Epoch 79/100 16/16 [==============================] - 0s 872us/step - loss: 0.5660 Epoch 80/100 16/16 [==============================] - 0s 997us/step - loss: 0.5652 Epoch 81/100 16/16 [==============================] - 0s 873us/step - loss: 0.5649 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5639 Epoch 83/100 16/16 [==============================] - 0s 810us/step - loss: 0.5643 Epoch 84/100 16/16 [==============================] - 0s 935us/step - loss: 0.5634 Epoch 85/100 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 86/100 16/16 [==============================] - 0s 873us/step - loss: 0.5624 Epoch 87/100 16/16 [==============================] - 0s 873us/step - loss: 0.5623 Epoch 88/100 16/16 [==============================] - 0s 873us/step - loss: 0.5611 Epoch 89/100 16/16 [==============================] - 0s 935us/step - loss: 0.5608 Epoch 90/100 16/16 [==============================] - 0s 810us/step - loss: 0.5602 Epoch 91/100 16/16 [==============================] - 0s 873us/step - loss: 0.5606 Epoch 92/100 16/16 [==============================] - 0s 810us/step - loss: 0.5598 Epoch 93/100 16/16 [==============================] - 0s 873us/step - loss: 0.5589 Epoch 94/100 16/16 [==============================] - 0s 873us/step - loss: 0.5592 Epoch 95/100 16/16 [==============================] - 0s 873us/step - loss: 0.5584 Epoch 96/100 16/16 [==============================] - 0s 748us/step - loss: 0.5586 Epoch 97/100 16/16 [==============================] - 0s 873us/step - loss: 0.5572 Epoch 98/100 16/16 [==============================] - 0s 810us/step - loss: 0.5580 Epoch 99/100 16/16 [==============================] - 0s 810us/step - loss: 0.5575 Epoch 100/100 16/16 [==============================] - 0s 873us/step - loss: 0.5556 ###################################################################### Accuracy: 67.69327539560405 Epoch 1/100 16/16 [==============================] - 0s 873us/step - loss: 0.9835 Epoch 2/100 16/16 [==============================] - 0s 935us/step - loss: 0.9750 Epoch 3/100 16/16 [==============================] - 0s 997us/step - loss: 0.9619 Epoch 4/100 16/16 [==============================] - 0s 873us/step - loss: 0.9426 Epoch 5/100 16/16 [==============================] - 0s 935us/step - loss: 0.9179 Epoch 6/100 16/16 [==============================] - 0s 810us/step - loss: 0.8883 Epoch 7/100 16/16 [==============================] - 0s 748us/step - loss: 0.8549 Epoch 8/100 16/16 [==============================] - 0s 935us/step - loss: 0.8191 Epoch 9/100 16/16 [==============================] - 0s 810us/step - loss: 0.7834 Epoch 10/100 16/16 [==============================] - 0s 748us/step - loss: 0.7505 Epoch 11/100 16/16 [==============================] - 0s 873us/step - loss: 0.7211 Epoch 12/100 16/16 [==============================] - 0s 810us/step - loss: 0.6981 Epoch 13/100 16/16 [==============================] - 0s 810us/step - loss: 0.6791 Epoch 14/100 16/16 [==============================] - 0s 873us/step - loss: 0.6646 Epoch 15/100 16/16 [==============================] - 0s 810us/step - loss: 0.6533 Epoch 16/100 16/16 [==============================] - 0s 873us/step - loss: 0.6451 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6394 Epoch 18/100 16/16 [==============================] - 0s 873us/step - loss: 0.6345 Epoch 19/100 16/16 [==============================] - 0s 810us/step - loss: 0.6299 Epoch 20/100 16/16 [==============================] - 0s 810us/step - loss: 0.6267 Epoch 21/100 16/16 [==============================] - 0s 810us/step - loss: 0.6237 Epoch 22/100 16/16 [==============================] - 0s 873us/step - loss: 0.6207 Epoch 23/100 16/16 [==============================] - 0s 811us/step - loss: 0.6187 Epoch 24/100 16/16 [==============================] - 0s 873us/step - loss: 0.6160 Epoch 25/100 16/16 [==============================] - 0s 811us/step - loss: 0.6138 Epoch 26/100 16/16 [==============================] - 0s 935us/step - loss: 0.6115 Epoch 27/100 16/16 [==============================] - ETA: 0s - loss: 0.545 - 0s 935us/step - loss: 0.6095 Epoch 28/100 16/16 [==============================] - 0s 935us/step - loss: 0.6079 Epoch 29/100 16/16 [==============================] - 0s 873us/step - loss: 0.6050 Epoch 30/100 16/16 [==============================] - 0s 810us/step - loss: 0.6034 Epoch 31/100 16/16 [==============================] - 0s 873us/step - loss: 0.6017 Epoch 32/100 16/16 [==============================] - 0s 935us/step - loss: 0.6002 Epoch 33/100 16/16 [==============================] - ETA: 0s - loss: 0.446 - 0s 873us/step - loss: 0.5980 Epoch 34/100 16/16 [==============================] - 0s 873us/step - loss: 0.5964 Epoch 35/100 16/16 [==============================] - 0s 935us/step - loss: 0.5957 Epoch 36/100 16/16 [==============================] - 0s 810us/step - loss: 0.5938 Epoch 37/100 16/16 [==============================] - 0s 748us/step - loss: 0.5917 Epoch 38/100 16/16 [==============================] - 0s 935us/step - loss: 0.5909 Epoch 39/100 16/16 [==============================] - 0s 873us/step - loss: 0.5890 Epoch 40/100 16/16 [==============================] - 0s 810us/step - loss: 0.5875 Epoch 41/100 16/16 [==============================] - 0s 997us/step - loss: 0.5864 Epoch 42/100 16/16 [==============================] - 0s 873us/step - loss: 0.5859 Epoch 43/100 16/16 [==============================] - 0s 810us/step - loss: 0.5852 Epoch 44/100 16/16 [==============================] - 0s 935us/step - loss: 0.5836 Epoch 45/100 16/16 [==============================] - 0s 873us/step - loss: 0.5834 Epoch 46/100 16/16 [==============================] - 0s 810us/step - loss: 0.5824 Epoch 47/100 16/16 [==============================] - 0s 873us/step - loss: 0.5812 Epoch 48/100 16/16 [==============================] - 0s 873us/step - loss: 0.5808 Epoch 49/100 16/16 [==============================] - 0s 935us/step - loss: 0.5796 Epoch 50/100 16/16 [==============================] - 0s 873us/step - loss: 0.5789 Epoch 51/100 16/16 [==============================] - 0s 873us/step - loss: 0.5773 Epoch 52/100 16/16 [==============================] - 0s 935us/step - loss: 0.5779 Epoch 53/100 16/16 [==============================] - 0s 810us/step - loss: 0.5770 Epoch 54/100 16/16 [==============================] - 0s 810us/step - loss: 0.5753 Epoch 55/100 16/16 [==============================] - 0s 810us/step - loss: 0.5755 Epoch 56/100 16/16 [==============================] - 0s 810us/step - loss: 0.5749 Epoch 57/100 16/16 [==============================] - 0s 748us/step - loss: 0.5740 Epoch 58/100 16/16 [==============================] - 0s 873us/step - loss: 0.5728 Epoch 59/100 16/16 [==============================] - 0s 873us/step - loss: 0.5731 Epoch 60/100 16/16 [==============================] - 0s 810us/step - loss: 0.5731 Epoch 61/100 16/16 [==============================] - 0s 873us/step - loss: 0.5717 Epoch 62/100 16/16 [==============================] - 0s 873us/step - loss: 0.5715 Epoch 63/100 16/16 [==============================] - 0s 935us/step - loss: 0.5711 Epoch 64/100 16/16 [==============================] - 0s 810us/step - loss: 0.5713 Epoch 65/100 16/16 [==============================] - 0s 810us/step - loss: 0.5704 Epoch 66/100 16/16 [==============================] - 0s 873us/step - loss: 0.5695 Epoch 67/100 16/16 [==============================] - 0s 935us/step - loss: 0.5691 Epoch 68/100 16/16 [==============================] - 0s 873us/step - loss: 0.5688 Epoch 69/100 16/16 [==============================] - 0s 873us/step - loss: 0.5689 Epoch 70/100 16/16 [==============================] - 0s 873us/step - loss: 0.5681 Epoch 71/100 16/16 [==============================] - 0s 810us/step - loss: 0.5678 Epoch 72/100 16/16 [==============================] - 0s 935us/step - loss: 0.5673 Epoch 73/100 16/16 [==============================] - 0s 873us/step - loss: 0.5678 Epoch 74/100 16/16 [==============================] - 0s 873us/step - loss: 0.5662 Epoch 75/100 16/16 [==============================] - 0s 873us/step - loss: 0.5665 Epoch 76/100 16/16 [==============================] - 0s 997us/step - loss: 0.5656 Epoch 77/100 16/16 [==============================] - 0s 935us/step - loss: 0.5650 Epoch 78/100 16/16 [==============================] - 0s 873us/step - loss: 0.5651 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5649 Epoch 80/100 16/16 [==============================] - 0s 997us/step - loss: 0.5644 Epoch 81/100 16/16 [==============================] - 0s 873us/step - loss: 0.5649 Epoch 82/100 16/16 [==============================] - 0s 1ms/step - loss: 0.5637 Epoch 83/100 16/16 [==============================] - 0s 935us/step - loss: 0.5635 Epoch 84/100 16/16 [==============================] - 0s 810us/step - loss: 0.5631 Epoch 85/100 16/16 [==============================] - 0s 873us/step - loss: 0.5640 Epoch 86/100 16/16 [==============================] - 0s 935us/step - loss: 0.5632 Epoch 87/100 16/16 [==============================] - 0s 810us/step - loss: 0.5625 Epoch 88/100 16/16 [==============================] - ETA: 0s - loss: 0.487 - 0s 873us/step - loss: 0.5629 Epoch 89/100 16/16 [==============================] - 0s 873us/step - loss: 0.5624 Epoch 90/100 16/16 [==============================] - 0s 810us/step - loss: 0.5620 Epoch 91/100 16/16 [==============================] - 0s 935us/step - loss: 0.5625 Epoch 92/100 16/16 [==============================] - 0s 810us/step - loss: 0.5619 Epoch 93/100 16/16 [==============================] - 0s 810us/step - loss: 0.5615 Epoch 94/100 16/16 [==============================] - 0s 997us/step - loss: 0.5603 Epoch 95/100 16/16 [==============================] - 0s 935us/step - loss: 0.5608 Epoch 96/100 16/16 [==============================] - 0s 873us/step - loss: 0.5605 Epoch 97/100 16/16 [==============================] - 0s 810us/step - loss: 0.5612 Epoch 98/100 16/16 [==============================] - 0s 935us/step - loss: 0.5606 Epoch 99/100 16/16 [==============================] - 0s 935us/step - loss: 0.5603 Epoch 100/100 16/16 [==============================] - 0s 872us/step - loss: 0.5594 ###################################################################### Accuracy: 75.3522015699763 Epoch 1/100 16/16 [==============================] - 0s 873us/step - loss: 0.9742 Epoch 2/100 16/16 [==============================] - 0s 873us/step - loss: 0.9658 Epoch 3/100 16/16 [==============================] - 0s 873us/step - loss: 0.9522 Epoch 4/100 16/16 [==============================] - 0s 935us/step - loss: 0.9322 Epoch 5/100 16/16 [==============================] - 0s 873us/step - loss: 0.9058 Epoch 6/100 16/16 [==============================] - 0s 810us/step - loss: 0.8772 Epoch 7/100 16/16 [==============================] - 0s 935us/step - loss: 0.8410 Epoch 8/100 16/16 [==============================] - 0s 873us/step - loss: 0.8034 Epoch 9/100 16/16 [==============================] - 0s 810us/step - loss: 0.7673 Epoch 10/100 16/16 [==============================] - 0s 935us/step - loss: 0.7320 Epoch 11/100 16/16 [==============================] - 0s 810us/step - loss: 0.6984 Epoch 12/100 16/16 [==============================] - 0s 873us/step - loss: 0.6728 Epoch 13/100 16/16 [==============================] - 0s 873us/step - loss: 0.6549 Epoch 14/100 16/16 [==============================] - 0s 748us/step - loss: 0.6433 Epoch 15/100 16/16 [==============================] - 0s 810us/step - loss: 0.6344 Epoch 16/100 16/16 [==============================] - 0s 874us/step - loss: 0.6297 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6260 Epoch 18/100 16/16 [==============================] - 0s 873us/step - loss: 0.6242 Epoch 19/100 16/16 [==============================] - 0s 873us/step - loss: 0.6216 Epoch 20/100 16/16 [==============================] - 0s 810us/step - loss: 0.6198 Epoch 21/100 16/16 [==============================] - 0s 873us/step - loss: 0.6175 Epoch 22/100 16/16 [==============================] - 0s 810us/step - loss: 0.6156 Epoch 23/100 16/16 [==============================] - 0s 935us/step - loss: 0.6136 Epoch 24/100 16/16 [==============================] - 0s 810us/step - loss: 0.6121 Epoch 25/100 16/16 [==============================] - 0s 873us/step - loss: 0.6102 Epoch 26/100 16/16 [==============================] - 0s 873us/step - loss: 0.6085 Epoch 27/100 16/16 [==============================] - 0s 810us/step - loss: 0.6073 Epoch 28/100 16/16 [==============================] - 0s 935us/step - loss: 0.6063 Epoch 29/100 16/16 [==============================] - 0s 873us/step - loss: 0.6044 Epoch 30/100 16/16 [==============================] - 0s 935us/step - loss: 0.6037 Epoch 31/100 16/16 [==============================] - 0s 810us/step - loss: 0.6020 Epoch 32/100 16/16 [==============================] - 0s 810us/step - loss: 0.6005 Epoch 33/100 16/16 [==============================] - 0s 997us/step - loss: 0.5992 Epoch 34/100 16/16 [==============================] - 0s 935us/step - loss: 0.5983 Epoch 35/100 16/16 [==============================] - 0s 810us/step - loss: 0.5972 Epoch 36/100 16/16 [==============================] - 0s 873us/step - loss: 0.5957 Epoch 37/100 16/16 [==============================] - 0s 873us/step - loss: 0.5937 Epoch 38/100 16/16 [==============================] - 0s 935us/step - loss: 0.5933 Epoch 39/100 16/16 [==============================] - 0s 873us/step - loss: 0.5917 Epoch 40/100 16/16 [==============================] - 0s 873us/step - loss: 0.5910 Epoch 41/100 16/16 [==============================] - 0s 935us/step - loss: 0.5889 Epoch 42/100 16/16 [==============================] - 0s 935us/step - loss: 0.5887 Epoch 43/100 16/16 [==============================] - 0s 997us/step - loss: 0.5870 Epoch 44/100 16/16 [==============================] - 0s 873us/step - loss: 0.5864 Epoch 45/100 16/16 [==============================] - 0s 935us/step - loss: 0.5849 Epoch 46/100 16/16 [==============================] - 0s 810us/step - loss: 0.5848 Epoch 47/100 16/16 [==============================] - 0s 873us/step - loss: 0.5836 Epoch 48/100 16/16 [==============================] - 0s 873us/step - loss: 0.5825 Epoch 49/100 16/16 [==============================] - 0s 810us/step - loss: 0.5817 Epoch 50/100 16/16 [==============================] - 0s 873us/step - loss: 0.5811 Epoch 51/100 16/16 [==============================] - 0s 873us/step - loss: 0.5793 Epoch 52/100 16/16 [==============================] - 0s 810us/step - loss: 0.5794 Epoch 53/100 16/16 [==============================] - 0s 935us/step - loss: 0.5783 Epoch 54/100 16/16 [==============================] - 0s 935us/step - loss: 0.5770 Epoch 55/100 16/16 [==============================] - 0s 810us/step - loss: 0.5777 Epoch 56/100 16/16 [==============================] - 0s 748us/step - loss: 0.5770 Epoch 57/100 16/16 [==============================] - 0s 873us/step - loss: 0.5757 Epoch 58/100 16/16 [==============================] - 0s 873us/step - loss: 0.5749 Epoch 59/100 16/16 [==============================] - 0s 997us/step - loss: 0.5733 Epoch 60/100 16/16 [==============================] - 0s 873us/step - loss: 0.5732 Epoch 61/100 16/16 [==============================] - 0s 935us/step - loss: 0.5721 Epoch 62/100 16/16 [==============================] - 0s 935us/step - loss: 0.5715 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5708 Epoch 64/100 16/16 [==============================] - 0s 873us/step - loss: 0.5703 Epoch 65/100 16/16 [==============================] - 0s 873us/step - loss: 0.5695 Epoch 66/100 16/16 [==============================] - 0s 935us/step - loss: 0.5691 Epoch 67/100 16/16 [==============================] - 0s 935us/step - loss: 0.5692 Epoch 68/100 16/16 [==============================] - 0s 935us/step - loss: 0.5688 Epoch 69/100 16/16 [==============================] - 0s 873us/step - loss: 0.5681 Epoch 70/100 16/16 [==============================] - 0s 748us/step - loss: 0.5668 Epoch 71/100 16/16 [==============================] - 0s 874us/step - loss: 0.5670 Epoch 72/100 16/16 [==============================] - 0s 873us/step - loss: 0.5668 Epoch 73/100 16/16 [==============================] - 0s 810us/step - loss: 0.5657 Epoch 74/100 16/16 [==============================] - 0s 810us/step - loss: 0.5653 Epoch 75/100 16/16 [==============================] - 0s 873us/step - loss: 0.5657 Epoch 76/100 16/16 [==============================] - 0s 810us/step - loss: 0.5651 Epoch 77/100 16/16 [==============================] - 0s 935us/step - loss: 0.5640 Epoch 78/100 16/16 [==============================] - 0s 935us/step - loss: 0.5631 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5629 Epoch 80/100 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 81/100 16/16 [==============================] - 0s 997us/step - loss: 0.5623 Epoch 82/100 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 83/100 16/16 [==============================] - 0s 873us/step - loss: 0.5617 Epoch 84/100 16/16 [==============================] - 0s 872us/step - loss: 0.5612 Epoch 85/100 16/16 [==============================] - 0s 810us/step - loss: 0.5615 Epoch 86/100 16/16 [==============================] - 0s 935us/step - loss: 0.5608 Epoch 87/100 16/16 [==============================] - 0s 873us/step - loss: 0.5619 Epoch 88/100 16/16 [==============================] - 0s 810us/step - loss: 0.5604 Epoch 89/100 16/16 [==============================] - 0s 810us/step - loss: 0.5601 Epoch 90/100 16/16 [==============================] - 0s 935us/step - loss: 0.5602 Epoch 91/100 16/16 [==============================] - 0s 810us/step - loss: 0.5596 Epoch 92/100 16/16 [==============================] - 0s 935us/step - loss: 0.5591 Epoch 93/100 16/16 [==============================] - 0s 873us/step - loss: 0.5590 Epoch 94/100 16/16 [==============================] - 0s 810us/step - loss: 0.5585 Epoch 95/100 16/16 [==============================] - 0s 935us/step - loss: 0.5575 Epoch 96/100 16/16 [==============================] - 0s 935us/step - loss: 0.5584 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5576 Epoch 98/100 16/16 [==============================] - 0s 873us/step - loss: 0.5579 Epoch 99/100 16/16 [==============================] - ETA: 0s - loss: 0.475 - 0s 810us/step - loss: 0.5572 Epoch 100/100 16/16 [==============================] - 0s 873us/step - loss: 0.5568 ###################################################################### Accuracy: 87.3036641066845 Epoch 1/100 16/16 [==============================] - 0s 935us/step - loss: 1.0148 Epoch 2/100 16/16 [==============================] - 0s 873us/step - loss: 1.0026 Epoch 3/100 16/16 [==============================] - 0s 1ms/step - loss: 0.9835 Epoch 4/100 16/16 [==============================] - 0s 997us/step - loss: 0.9580 Epoch 5/100 16/16 [==============================] - 0s 935us/step - loss: 0.9271 Epoch 6/100 16/16 [==============================] - 0s 810us/step - loss: 0.8931 Epoch 7/100 16/16 [==============================] - 0s 873us/step - loss: 0.8534 Epoch 8/100 16/16 [==============================] - 0s 873us/step - loss: 0.8124 Epoch 9/100 16/16 [==============================] - 0s 748us/step - loss: 0.7720 Epoch 10/100 16/16 [==============================] - 0s 873us/step - loss: 0.7387 Epoch 11/100 16/16 [==============================] - 0s 873us/step - loss: 0.7085 Epoch 12/100 16/16 [==============================] - 0s 873us/step - loss: 0.6856 Epoch 13/100 16/16 [==============================] - 0s 873us/step - loss: 0.6700 Epoch 14/100 16/16 [==============================] - 0s 873us/step - loss: 0.6596 Epoch 15/100 16/16 [==============================] - 0s 810us/step - loss: 0.6525 Epoch 16/100 16/16 [==============================] - 0s 873us/step - loss: 0.6484 Epoch 17/100 16/16 [==============================] - 0s 935us/step - loss: 0.6452 Epoch 18/100 16/16 [==============================] - 0s 873us/step - loss: 0.6431 Epoch 19/100 16/16 [==============================] - 0s 873us/step - loss: 0.6401 Epoch 20/100 16/16 [==============================] - 0s 810us/step - loss: 0.6381 Epoch 21/100 16/16 [==============================] - 0s 810us/step - loss: 0.6357 Epoch 22/100 16/16 [==============================] - 0s 810us/step - loss: 0.6343 Epoch 23/100 16/16 [==============================] - 0s 873us/step - loss: 0.6324 Epoch 24/100 16/16 [==============================] - 0s 873us/step - loss: 0.6307 Epoch 25/100 16/16 [==============================] - 0s 810us/step - loss: 0.6285 Epoch 26/100 16/16 [==============================] - 0s 873us/step - loss: 0.6276 Epoch 27/100 16/16 [==============================] - 0s 873us/step - loss: 0.6261 Epoch 28/100 16/16 [==============================] - 0s 873us/step - loss: 0.6250 Epoch 29/100 16/16 [==============================] - 0s 935us/step - loss: 0.6238 Epoch 30/100 16/16 [==============================] - 0s 935us/step - loss: 0.6223 Epoch 31/100 16/16 [==============================] - 0s 935us/step - loss: 0.6214 Epoch 32/100 16/16 [==============================] - 0s 810us/step - loss: 0.6202 Epoch 33/100 16/16 [==============================] - 0s 873us/step - loss: 0.6193 Epoch 34/100 16/16 [==============================] - 0s 810us/step - loss: 0.6189 Epoch 35/100 16/16 [==============================] - 0s 810us/step - loss: 0.6176 Epoch 36/100 16/16 [==============================] - 0s 873us/step - loss: 0.6164 Epoch 37/100 16/16 [==============================] - 0s 935us/step - loss: 0.6154 Epoch 38/100 16/16 [==============================] - 0s 748us/step - loss: 0.6148 Epoch 39/100 16/16 [==============================] - 0s 873us/step - loss: 0.6142 Epoch 40/100 16/16 [==============================] - 0s 873us/step - loss: 0.6136 Epoch 41/100 16/16 [==============================] - 0s 873us/step - loss: 0.6118 Epoch 42/100 16/16 [==============================] - 0s 873us/step - loss: 0.6113 Epoch 43/100 16/16 [==============================] - 0s 810us/step - loss: 0.6107 Epoch 44/100 16/16 [==============================] - 0s 873us/step - loss: 0.6095 Epoch 45/100 16/16 [==============================] - 0s 873us/step - loss: 0.6091 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.6085 Epoch 47/100 16/16 [==============================] - 0s 935us/step - loss: 0.6073 Epoch 48/100 16/16 [==============================] - 0s 810us/step - loss: 0.6073 Epoch 49/100 16/16 [==============================] - 0s 873us/step - loss: 0.6057 Epoch 50/100 16/16 [==============================] - 0s 873us/step - loss: 0.6042 Epoch 51/100 16/16 [==============================] - 0s 873us/step - loss: 0.6042 Epoch 52/100 16/16 [==============================] - 0s 873us/step - loss: 0.6034 Epoch 53/100 16/16 [==============================] - 0s 935us/step - loss: 0.6025 Epoch 54/100 16/16 [==============================] - 0s 997us/step - loss: 0.6022 Epoch 55/100 16/16 [==============================] - 0s 873us/step - loss: 0.6008 Epoch 56/100 16/16 [==============================] - 0s 935us/step - loss: 0.6006 Epoch 57/100 16/16 [==============================] - 0s 811us/step - loss: 0.6002 Epoch 58/100 16/16 [==============================] - 0s 935us/step - loss: 0.5996 Epoch 59/100 16/16 [==============================] - 0s 873us/step - loss: 0.5990 Epoch 60/100 16/16 [==============================] - 0s 935us/step - loss: 0.5984 Epoch 61/100 16/16 [==============================] - 0s 810us/step - loss: 0.5969 Epoch 62/100 16/16 [==============================] - 0s 810us/step - loss: 0.5961 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5960 Epoch 64/100 16/16 [==============================] - 0s 873us/step - loss: 0.5955 Epoch 65/100 16/16 [==============================] - 0s 935us/step - loss: 0.5950 Epoch 66/100 16/16 [==============================] - 0s 873us/step - loss: 0.5938 Epoch 67/100 16/16 [==============================] - 0s 873us/step - loss: 0.5936 Epoch 68/100 16/16 [==============================] - 0s 935us/step - loss: 0.5928 Epoch 69/100 16/16 [==============================] - 0s 873us/step - loss: 0.5935 Epoch 70/100 16/16 [==============================] - 0s 997us/step - loss: 0.5924 Epoch 71/100 16/16 [==============================] - 0s 935us/step - loss: 0.5909 Epoch 72/100 16/16 [==============================] - 0s 873us/step - loss: 0.5909 Epoch 73/100 16/16 [==============================] - 0s 810us/step - loss: 0.5910 Epoch 74/100 16/16 [==============================] - 0s 873us/step - loss: 0.5902 Epoch 75/100 16/16 [==============================] - 0s 873us/step - loss: 0.5894 Epoch 76/100 16/16 [==============================] - 0s 810us/step - loss: 0.5901 Epoch 77/100 16/16 [==============================] - 0s 873us/step - loss: 0.5889 Epoch 78/100 16/16 [==============================] - 0s 810us/step - loss: 0.5886 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5875 Epoch 80/100 16/16 [==============================] - 0s 810us/step - loss: 0.5874 Epoch 81/100 16/16 [==============================] - 0s 935us/step - loss: 0.5874 Epoch 82/100 16/16 [==============================] - 0s 873us/step - loss: 0.5867 Epoch 83/100 16/16 [==============================] - 0s 810us/step - loss: 0.5866 Epoch 84/100 16/16 [==============================] - 0s 873us/step - loss: 0.5864 Epoch 85/100 16/16 [==============================] - 0s 935us/step - loss: 0.5866 Epoch 86/100 16/16 [==============================] - 0s 873us/step - loss: 0.5850 Epoch 87/100 16/16 [==============================] - 0s 873us/step - loss: 0.5849 Epoch 88/100 16/16 [==============================] - 0s 873us/step - loss: 0.5847 Epoch 89/100 16/16 [==============================] - 0s 873us/step - loss: 0.5841 Epoch 90/100 16/16 [==============================] - 0s 873us/step - loss: 0.5843 Epoch 91/100 16/16 [==============================] - 0s 810us/step - loss: 0.5839 Epoch 92/100 16/16 [==============================] - 0s 873us/step - loss: 0.5829 Epoch 93/100 16/16 [==============================] - 0s 935us/step - loss: 0.5834 Epoch 94/100 16/16 [==============================] - 0s 748us/step - loss: 0.5830 Epoch 95/100 16/16 [==============================] - 0s 873us/step - loss: 0.5831 Epoch 96/100 16/16 [==============================] - 0s 810us/step - loss: 0.5822 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5819 Epoch 98/100 16/16 [==============================] - 0s 873us/step - loss: 0.5820 Epoch 99/100 16/16 [==============================] - 0s 810us/step - loss: 0.5800 Epoch 100/100 16/16 [==============================] - 0s 935us/step - loss: 0.5802 ###################################################################### Accuracy: 75.00350433996374 Epoch 1/100 16/16 [==============================] - 0s 873us/step - loss: 1.0001 Epoch 2/100 16/16 [==============================] - 0s 936us/step - loss: 0.9921 Epoch 3/100 16/16 [==============================] - 0s 936us/step - loss: 0.9795 Epoch 4/100 16/16 [==============================] - 0s 935us/step - loss: 0.9603 Epoch 5/100 16/16 [==============================] - 0s 873us/step - loss: 0.9346 Epoch 6/100 16/16 [==============================] - 0s 997us/step - loss: 0.9041 Epoch 7/100 16/16 [==============================] - 0s 873us/step - loss: 0.8695 Epoch 8/100 16/16 [==============================] - 0s 935us/step - loss: 0.8330 Epoch 9/100 16/16 [==============================] - 0s 935us/step - loss: 0.7963 Epoch 10/100 16/16 [==============================] - 0s 810us/step - loss: 0.7644 Epoch 11/100 16/16 [==============================] - 0s 873us/step - loss: 0.7372 Epoch 12/100 16/16 [==============================] - 0s 873us/step - loss: 0.7129 Epoch 13/100 16/16 [==============================] - 0s 873us/step - loss: 0.6924 Epoch 14/100 16/16 [==============================] - 0s 873us/step - loss: 0.6739 Epoch 15/100 16/16 [==============================] - 0s 935us/step - loss: 0.6586 Epoch 16/100 16/16 [==============================] - 0s 935us/step - loss: 0.6484 Epoch 17/100 16/16 [==============================] - 0s 873us/step - loss: 0.6418 Epoch 18/100 16/16 [==============================] - 0s 810us/step - loss: 0.6353 Epoch 19/100 16/16 [==============================] - 0s 935us/step - loss: 0.6314 Epoch 20/100 16/16 [==============================] - 0s 873us/step - loss: 0.6282 Epoch 21/100 16/16 [==============================] - 0s 810us/step - loss: 0.6254 Epoch 22/100 16/16 [==============================] - 0s 873us/step - loss: 0.6228 Epoch 23/100 16/16 [==============================] - 0s 811us/step - loss: 0.6209 Epoch 24/100 16/16 [==============================] - 0s 810us/step - loss: 0.6193 Epoch 25/100 16/16 [==============================] - 0s 810us/step - loss: 0.6170 Epoch 26/100 16/16 [==============================] - 0s 935us/step - loss: 0.6150 Epoch 27/100 16/16 [==============================] - 0s 810us/step - loss: 0.6133 Epoch 28/100 16/16 [==============================] - 0s 810us/step - loss: 0.6118 Epoch 29/100 16/16 [==============================] - 0s 935us/step - loss: 0.6101 Epoch 30/100 16/16 [==============================] - 0s 935us/step - loss: 0.6084 Epoch 31/100 16/16 [==============================] - 0s 873us/step - loss: 0.6062 Epoch 32/100 16/16 [==============================] - 0s 811us/step - loss: 0.6052 Epoch 33/100 16/16 [==============================] - 0s 873us/step - loss: 0.6039 Epoch 34/100 16/16 [==============================] - 0s 810us/step - loss: 0.6024 Epoch 35/100 16/16 [==============================] - 0s 810us/step - loss: 0.6009 Epoch 36/100 16/16 [==============================] - 0s 873us/step - loss: 0.5995 Epoch 37/100 16/16 [==============================] - 0s 873us/step - loss: 0.5972 Epoch 38/100 16/16 [==============================] - ETA: 0s - loss: 0.728 - 0s 810us/step - loss: 0.5962 Epoch 39/100 16/16 [==============================] - 0s 810us/step - loss: 0.5948 Epoch 40/100 16/16 [==============================] - 0s 810us/step - loss: 0.5933 Epoch 41/100 16/16 [==============================] - 0s 810us/step - loss: 0.5913 Epoch 42/100 16/16 [==============================] - 0s 810us/step - loss: 0.5900 Epoch 43/100 16/16 [==============================] - 0s 873us/step - loss: 0.5890 Epoch 44/100 16/16 [==============================] - 0s 810us/step - loss: 0.5872 Epoch 45/100 16/16 [==============================] - 0s 810us/step - loss: 0.5861 Epoch 46/100 16/16 [==============================] - 0s 935us/step - loss: 0.5857 Epoch 47/100 16/16 [==============================] - 0s 997us/step - loss: 0.5842 Epoch 48/100 16/16 [==============================] - 0s 810us/step - loss: 0.5833 Epoch 49/100 16/16 [==============================] - 0s 935us/step - loss: 0.5823 Epoch 50/100 16/16 [==============================] - 0s 873us/step - loss: 0.5809 Epoch 51/100 16/16 [==============================] - 0s 810us/step - loss: 0.5806 Epoch 52/100 16/16 [==============================] - 0s 873us/step - loss: 0.5786 Epoch 53/100 16/16 [==============================] - 0s 873us/step - loss: 0.5779 Epoch 54/100 16/16 [==============================] - 0s 935us/step - loss: 0.5771 Epoch 55/100 16/16 [==============================] - 0s 873us/step - loss: 0.5764 Epoch 56/100 16/16 [==============================] - 0s 873us/step - loss: 0.5750 Epoch 57/100 16/16 [==============================] - 0s 935us/step - loss: 0.5750 Epoch 58/100 16/16 [==============================] - 0s 873us/step - loss: 0.5732 Epoch 59/100 16/16 [==============================] - 0s 935us/step - loss: 0.5732 Epoch 60/100 16/16 [==============================] - 0s 810us/step - loss: 0.5721 Epoch 61/100 16/16 [==============================] - 0s 810us/step - loss: 0.5715 Epoch 62/100 16/16 [==============================] - 0s 935us/step - loss: 0.5705 Epoch 63/100 16/16 [==============================] - 0s 873us/step - loss: 0.5699 Epoch 64/100 16/16 [==============================] - 0s 873us/step - loss: 0.5700 Epoch 65/100 16/16 [==============================] - 0s 935us/step - loss: 0.5689 Epoch 66/100 16/16 [==============================] - 0s 873us/step - loss: 0.5679 Epoch 67/100 16/16 [==============================] - 0s 873us/step - loss: 0.5681 Epoch 68/100 16/16 [==============================] - 0s 873us/step - loss: 0.5671 Epoch 69/100 16/16 [==============================] - 0s 873us/step - loss: 0.5667 Epoch 70/100 16/16 [==============================] - 0s 810us/step - loss: 0.5661 Epoch 71/100 16/16 [==============================] - 0s 810us/step - loss: 0.5660 Epoch 72/100 16/16 [==============================] - 0s 873us/step - loss: 0.5651 Epoch 73/100 16/16 [==============================] - 0s 873us/step - loss: 0.5651 Epoch 74/100 16/16 [==============================] - 0s 810us/step - loss: 0.5650 Epoch 75/100 16/16 [==============================] - 0s 935us/step - loss: 0.5640 Epoch 76/100 16/16 [==============================] - 0s 873us/step - loss: 0.5638 Epoch 77/100 16/16 [==============================] - 0s 873us/step - loss: 0.5633 Epoch 78/100 16/16 [==============================] - 0s 872us/step - loss: 0.5630 Epoch 79/100 16/16 [==============================] - 0s 873us/step - loss: 0.5626 Epoch 80/100 16/16 [==============================] - 0s 873us/step - loss: 0.5634 Epoch 81/100 16/16 [==============================] - 0s 873us/step - loss: 0.5617 Epoch 82/100 16/16 [==============================] - 0s 935us/step - loss: 0.5612 Epoch 83/100 16/16 [==============================] - 0s 810us/step - loss: 0.5613 Epoch 84/100 16/16 [==============================] - 0s 873us/step - loss: 0.5606 Epoch 85/100 16/16 [==============================] - 0s 873us/step - loss: 0.5604 Epoch 86/100 16/16 [==============================] - 0s 873us/step - loss: 0.5599 Epoch 87/100 16/16 [==============================] - 0s 810us/step - loss: 0.5601 Epoch 88/100 16/16 [==============================] - 0s 873us/step - loss: 0.5588 Epoch 89/100 16/16 [==============================] - 0s 810us/step - loss: 0.5593 Epoch 90/100 16/16 [==============================] - 0s 873us/step - loss: 0.5577 Epoch 91/100 16/16 [==============================] - 0s 873us/step - loss: 0.5580 Epoch 92/100 16/16 [==============================] - 0s 810us/step - loss: 0.5582 Epoch 93/100 16/16 [==============================] - 0s 873us/step - loss: 0.5578 Epoch 94/100 16/16 [==============================] - 0s 810us/step - loss: 0.5576 Epoch 95/100 16/16 [==============================] - 0s 748us/step - loss: 0.5567 Epoch 96/100 16/16 [==============================] - 0s 997us/step - loss: 0.5572 Epoch 97/100 16/16 [==============================] - 0s 935us/step - loss: 0.5562 Epoch 98/100 16/16 [==============================] - 0s 935us/step - loss: 0.5565 Epoch 99/100 16/16 [==============================] - 0s 810us/step - loss: 0.5557 Epoch 100/100 16/16 [==============================] - 0s 873us/step - loss: 0.5551 ###################################################################### Accuracy: 72.72177730154445 Epoch 1/150 16/16 [==============================] - 0s 872us/step - loss: 1.0180 Epoch 2/150 16/16 [==============================] - 0s 873us/step - loss: 1.0115 Epoch 3/150 16/16 [==============================] - 0s 935us/step - loss: 0.9990 Epoch 4/150 16/16 [==============================] - 0s 934us/step - loss: 0.9810 Epoch 5/150 16/16 [==============================] - 0s 872us/step - loss: 0.9569 Epoch 6/150 16/16 [==============================] - 0s 873us/step - loss: 0.9272 Epoch 7/150 16/16 [==============================] - 0s 873us/step - loss: 0.8928 Epoch 8/150 16/16 [==============================] - 0s 810us/step - loss: 0.8536 Epoch 9/150 16/16 [==============================] - 0s 873us/step - loss: 0.8127 Epoch 10/150 16/16 [==============================] - 0s 873us/step - loss: 0.7742 Epoch 11/150 16/16 [==============================] - 0s 748us/step - loss: 0.7382 Epoch 12/150 16/16 [==============================] - 0s 873us/step - loss: 0.7070 Epoch 13/150 16/16 [==============================] - 0s 810us/step - loss: 0.6829 Epoch 14/150 16/16 [==============================] - 0s 873us/step - loss: 0.6640 Epoch 15/150 16/16 [==============================] - 0s 810us/step - loss: 0.6521 Epoch 16/150 16/16 [==============================] - 0s 873us/step - loss: 0.6449 Epoch 17/150 16/16 [==============================] - 0s 935us/step - loss: 0.6396 Epoch 18/150 16/16 [==============================] - 0s 935us/step - loss: 0.6367 Epoch 19/150 16/16 [==============================] - 0s 935us/step - loss: 0.6350 Epoch 20/150 16/16 [==============================] - 0s 873us/step - loss: 0.6314 Epoch 21/150 16/16 [==============================] - 0s 935us/step - loss: 0.6306 Epoch 22/150 16/16 [==============================] - 0s 873us/step - loss: 0.6283 Epoch 23/150 16/16 [==============================] - 0s 873us/step - loss: 0.6264 Epoch 24/150 16/16 [==============================] - 0s 873us/step - loss: 0.6245 Epoch 25/150 16/16 [==============================] - 0s 810us/step - loss: 0.6228 Epoch 26/150 16/16 [==============================] - 0s 935us/step - loss: 0.6211 Epoch 27/150 16/16 [==============================] - 0s 873us/step - loss: 0.6196 Epoch 28/150 16/16 [==============================] - 0s 810us/step - loss: 0.6171 Epoch 29/150 16/16 [==============================] - 0s 935us/step - loss: 0.6157 Epoch 30/150 16/16 [==============================] - 0s 810us/step - loss: 0.6136 Epoch 31/150 16/16 [==============================] - 0s 810us/step - loss: 0.6125 Epoch 32/150 16/16 [==============================] - 0s 810us/step - loss: 0.6107 Epoch 33/150 16/16 [==============================] - 0s 935us/step - loss: 0.6092 Epoch 34/150 16/16 [==============================] - 0s 873us/step - loss: 0.6079 Epoch 35/150 16/16 [==============================] - 0s 936us/step - loss: 0.6060 Epoch 36/150 16/16 [==============================] - 0s 748us/step - loss: 0.6055 Epoch 37/150 16/16 [==============================] - 0s 873us/step - loss: 0.6038 Epoch 38/150 16/16 [==============================] - 0s 748us/step - loss: 0.6018 Epoch 39/150 16/16 [==============================] - 0s 872us/step - loss: 0.6010 Epoch 40/150 16/16 [==============================] - 0s 810us/step - loss: 0.6003 Epoch 41/150 16/16 [==============================] - 0s 873us/step - loss: 0.5989 Epoch 42/150 16/16 [==============================] - ETA: 0s - loss: 0.631 - 0s 810us/step - loss: 0.5975 Epoch 43/150 16/16 [==============================] - 0s 810us/step - loss: 0.5970 Epoch 44/150 16/16 [==============================] - 0s 873us/step - loss: 0.5953 Epoch 45/150 16/16 [==============================] - 0s 935us/step - loss: 0.5945 Epoch 46/150 16/16 [==============================] - 0s 810us/step - loss: 0.5930 Epoch 47/150 16/16 [==============================] - 0s 935us/step - loss: 0.5924 Epoch 48/150 16/16 [==============================] - 0s 873us/step - loss: 0.5905 Epoch 49/150 16/16 [==============================] - 0s 873us/step - loss: 0.5900 Epoch 50/150 16/16 [==============================] - 0s 873us/step - loss: 0.5884 Epoch 51/150 16/16 [==============================] - 0s 873us/step - loss: 0.5875 Epoch 52/150 16/16 [==============================] - 0s 873us/step - loss: 0.5862 Epoch 53/150 16/16 [==============================] - 0s 935us/step - loss: 0.5852 Epoch 54/150 16/16 [==============================] - 0s 810us/step - loss: 0.5841 Epoch 55/150 16/16 [==============================] - 0s 873us/step - loss: 0.5838 Epoch 56/150 16/16 [==============================] - 0s 810us/step - loss: 0.5821 Epoch 57/150 16/16 [==============================] - 0s 873us/step - loss: 0.5825 Epoch 58/150 16/16 [==============================] - 0s 810us/step - loss: 0.5810 Epoch 59/150 16/16 [==============================] - 0s 810us/step - loss: 0.5805 Epoch 60/150 16/16 [==============================] - 0s 873us/step - loss: 0.5791 Epoch 61/150 16/16 [==============================] - 0s 935us/step - loss: 0.5787 Epoch 62/150 16/16 [==============================] - 0s 873us/step - loss: 0.5769 Epoch 63/150 16/16 [==============================] - 0s 810us/step - loss: 0.5774 Epoch 64/150 16/16 [==============================] - 0s 935us/step - loss: 0.5755 Epoch 65/150 16/16 [==============================] - 0s 935us/step - loss: 0.5744 Epoch 66/150 16/16 [==============================] - 0s 748us/step - loss: 0.5734 Epoch 67/150 16/16 [==============================] - 0s 873us/step - loss: 0.5734 Epoch 68/150 16/16 [==============================] - 0s 873us/step - loss: 0.5723 Epoch 69/150 16/16 [==============================] - 0s 810us/step - loss: 0.5710 Epoch 70/150 16/16 [==============================] - 0s 810us/step - loss: 0.5707 Epoch 71/150 16/16 [==============================] - 0s 935us/step - loss: 0.5697 Epoch 72/150 16/16 [==============================] - 0s 810us/step - loss: 0.5691 Epoch 73/150 16/16 [==============================] - 0s 873us/step - loss: 0.5681 Epoch 74/150 16/16 [==============================] - 0s 873us/step - loss: 0.5680 Epoch 75/150 16/16 [==============================] - 0s 935us/step - loss: 0.5673 Epoch 76/150 16/16 [==============================] - 0s 873us/step - loss: 0.5661 Epoch 77/150 16/16 [==============================] - 0s 873us/step - loss: 0.5660 Epoch 78/150 16/16 [==============================] - 0s 873us/step - loss: 0.5645 Epoch 79/150 16/16 [==============================] - 0s 873us/step - loss: 0.5644 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5641 Epoch 81/150 16/16 [==============================] - 0s 873us/step - loss: 0.5637 Epoch 82/150 16/16 [==============================] - ETA: 0s - loss: 0.678 - 0s 810us/step - loss: 0.5631 Epoch 83/150 16/16 [==============================] - 0s 873us/step - loss: 0.5625 Epoch 84/150 16/16 [==============================] - 0s 873us/step - loss: 0.5619 Epoch 85/150 16/16 [==============================] - 0s 810us/step - loss: 0.5610 Epoch 86/150 16/16 [==============================] - 0s 810us/step - loss: 0.5615 Epoch 87/150 16/16 [==============================] - 0s 810us/step - loss: 0.5614 Epoch 88/150 16/16 [==============================] - 0s 810us/step - loss: 0.5617 Epoch 89/150 16/16 [==============================] - 0s 810us/step - loss: 0.5596 Epoch 90/150 16/16 [==============================] - 0s 873us/step - loss: 0.5601 Epoch 91/150 16/16 [==============================] - 0s 873us/step - loss: 0.5594 Epoch 92/150 16/16 [==============================] - 0s 873us/step - loss: 0.5589 Epoch 93/150 16/16 [==============================] - 0s 873us/step - loss: 0.5580 Epoch 94/150 16/16 [==============================] - 0s 810us/step - loss: 0.5585 Epoch 95/150 16/16 [==============================] - 0s 810us/step - loss: 0.5582 Epoch 96/150 16/16 [==============================] - 0s 873us/step - loss: 0.5579 Epoch 97/150 16/16 [==============================] - 0s 873us/step - loss: 0.5567 Epoch 98/150 16/16 [==============================] - 0s 810us/step - loss: 0.5566 Epoch 99/150 16/16 [==============================] - 0s 873us/step - loss: 0.5560 Epoch 100/150 16/16 [==============================] - 0s 873us/step - loss: 0.5569 Epoch 101/150 16/16 [==============================] - 0s 810us/step - loss: 0.5551 Epoch 102/150 16/16 [==============================] - 0s 873us/step - loss: 0.5548 Epoch 103/150 16/16 [==============================] - 0s 873us/step - loss: 0.5545 Epoch 104/150 16/16 [==============================] - 0s 873us/step - loss: 0.5541 Epoch 105/150 16/16 [==============================] - 0s 873us/step - loss: 0.5535 Epoch 106/150 16/16 [==============================] - 0s 935us/step - loss: 0.5533 Epoch 107/150 16/16 [==============================] - 0s 873us/step - loss: 0.5525 Epoch 108/150 16/16 [==============================] - 0s 873us/step - loss: 0.5518 Epoch 109/150 16/16 [==============================] - 0s 810us/step - loss: 0.5515 Epoch 110/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5510 Epoch 111/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5514 Epoch 112/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5513 Epoch 113/150 16/16 [==============================] - 0s 935us/step - loss: 0.5507 Epoch 114/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5495 Epoch 115/150 16/16 [==============================] - 0s 810us/step - loss: 0.5491 Epoch 116/150 16/16 [==============================] - 0s 810us/step - loss: 0.5501 Epoch 117/150 16/16 [==============================] - 0s 997us/step - loss: 0.5495 Epoch 118/150 16/16 [==============================] - 0s 873us/step - loss: 0.5487 Epoch 119/150 16/16 [==============================] - 0s 810us/step - loss: 0.5483 Epoch 120/150 16/16 [==============================] - 0s 873us/step - loss: 0.5479 Epoch 121/150 16/16 [==============================] - 0s 873us/step - loss: 0.5482 Epoch 122/150 16/16 [==============================] - 0s 810us/step - loss: 0.5481 Epoch 123/150 16/16 [==============================] - 0s 935us/step - loss: 0.5480 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5474 Epoch 125/150 16/16 [==============================] - 0s 810us/step - loss: 0.5466 Epoch 126/150 16/16 [==============================] - 0s 873us/step - loss: 0.5461 Epoch 127/150 16/16 [==============================] - 0s 997us/step - loss: 0.5460 Epoch 128/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5460 Epoch 129/150 16/16 [==============================] - 0s 810us/step - loss: 0.5454 Epoch 130/150 16/16 [==============================] - 0s 810us/step - loss: 0.5458 Epoch 131/150 16/16 [==============================] - 0s 873us/step - loss: 0.5455 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5452 Epoch 133/150 16/16 [==============================] - 0s 935us/step - loss: 0.5448 Epoch 134/150 16/16 [==============================] - 0s 935us/step - loss: 0.5440 Epoch 135/150 16/16 [==============================] - 0s 873us/step - loss: 0.5449 Epoch 136/150 16/16 [==============================] - 0s 873us/step - loss: 0.5444 Epoch 137/150 16/16 [==============================] - 0s 873us/step - loss: 0.5437 Epoch 138/150 16/16 [==============================] - 0s 873us/step - loss: 0.5439 Epoch 139/150 16/16 [==============================] - 0s 935us/step - loss: 0.5434 Epoch 140/150 16/16 [==============================] - 0s 935us/step - loss: 0.5429 Epoch 141/150 16/16 [==============================] - 0s 997us/step - loss: 0.5429 Epoch 142/150 16/16 [==============================] - 0s 873us/step - loss: 0.5426 Epoch 143/150 16/16 [==============================] - 0s 935us/step - loss: 0.5429 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5420 Epoch 145/150 16/16 [==============================] - 0s 873us/step - loss: 0.5414 Epoch 146/150 16/16 [==============================] - 0s 935us/step - loss: 0.5421 Epoch 147/150 16/16 [==============================] - 0s 810us/step - loss: 0.5410 Epoch 148/150 16/16 [==============================] - 0s 935us/step - loss: 0.5409 Epoch 149/150 16/16 [==============================] - 0s 810us/step - loss: 0.5411 Epoch 150/150 16/16 [==============================] - 0s 748us/step - loss: 0.5410 ###################################################################### Accuracy: 74.21916992329813 Epoch 1/150 16/16 [==============================] - 0s 1ms/step - loss: 0.9862 Epoch 2/150 16/16 [==============================] - 0s 935us/step - loss: 0.9818 Epoch 3/150 16/16 [==============================] - 0s 935us/step - loss: 0.9739 Epoch 4/150 16/16 [==============================] - 0s 935us/step - loss: 0.9601 Epoch 5/150 16/16 [==============================] - 0s 997us/step - loss: 0.9384 Epoch 6/150 16/16 [==============================] - 0s 873us/step - loss: 0.9117 Epoch 7/150 16/16 [==============================] - 0s 810us/step - loss: 0.8799 Epoch 8/150 16/16 [==============================] - 0s 810us/step - loss: 0.8475 Epoch 9/150 16/16 [==============================] - 0s 873us/step - loss: 0.8157 Epoch 10/150 16/16 [==============================] - 0s 810us/step - loss: 0.7844 Epoch 11/150 16/16 [==============================] - 0s 748us/step - loss: 0.7569 Epoch 12/150 16/16 [==============================] - 0s 873us/step - loss: 0.7335 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.7146 Epoch 14/150 16/16 [==============================] - 0s 810us/step - loss: 0.6974 Epoch 15/150 16/16 [==============================] - 0s 748us/step - loss: 0.6832 Epoch 16/150 16/16 [==============================] - 0s 873us/step - loss: 0.6733 Epoch 17/150 16/16 [==============================] - 0s 810us/step - loss: 0.6636 Epoch 18/150 16/16 [==============================] - 0s 810us/step - loss: 0.6573 Epoch 19/150 16/16 [==============================] - 0s 873us/step - loss: 0.6522 Epoch 20/150 16/16 [==============================] - 0s 873us/step - loss: 0.6480 Epoch 21/150 16/16 [==============================] - 0s 810us/step - loss: 0.6446 Epoch 22/150 16/16 [==============================] - 0s 810us/step - loss: 0.6441 Epoch 23/150 16/16 [==============================] - 0s 873us/step - loss: 0.6409 Epoch 24/150 16/16 [==============================] - 0s 873us/step - loss: 0.6394 Epoch 25/150 16/16 [==============================] - 0s 873us/step - loss: 0.6365 Epoch 26/150 16/16 [==============================] - 0s 810us/step - loss: 0.6347 Epoch 27/150 16/16 [==============================] - 0s 873us/step - loss: 0.6341 Epoch 28/150 16/16 [==============================] - 0s 873us/step - loss: 0.6319 Epoch 29/150 16/16 [==============================] - 0s 935us/step - loss: 0.6298 Epoch 30/150 16/16 [==============================] - 0s 873us/step - loss: 0.6285 Epoch 31/150 16/16 [==============================] - 0s 810us/step - loss: 0.6275 Epoch 32/150 16/16 [==============================] - 0s 873us/step - loss: 0.6250 Epoch 33/150 16/16 [==============================] - 0s 873us/step - loss: 0.6240 Epoch 34/150 16/16 [==============================] - 0s 811us/step - loss: 0.6225 Epoch 35/150 16/16 [==============================] - 0s 935us/step - loss: 0.6209 Epoch 36/150 16/16 [==============================] - 0s 873us/step - loss: 0.6198 Epoch 37/150 16/16 [==============================] - 0s 935us/step - loss: 0.6188 Epoch 38/150 16/16 [==============================] - 0s 935us/step - loss: 0.6171 Epoch 39/150 16/16 [==============================] - 0s 810us/step - loss: 0.6153 Epoch 40/150 16/16 [==============================] - 0s 810us/step - loss: 0.6145 Epoch 41/150 16/16 [==============================] - 0s 873us/step - loss: 0.6126 Epoch 42/150 16/16 [==============================] - 0s 873us/step - loss: 0.6118 Epoch 43/150 16/16 [==============================] - 0s 810us/step - loss: 0.6105 Epoch 44/150 16/16 [==============================] - 0s 873us/step - loss: 0.6088 Epoch 45/150 16/16 [==============================] - 0s 935us/step - loss: 0.6081 Epoch 46/150 16/16 [==============================] - 0s 873us/step - loss: 0.6067 Epoch 47/150 16/16 [==============================] - 0s 935us/step - loss: 0.6054 Epoch 48/150 16/16 [==============================] - 0s 873us/step - loss: 0.6042 Epoch 49/150 16/16 [==============================] - 0s 810us/step - loss: 0.6034 Epoch 50/150 16/16 [==============================] - 0s 811us/step - loss: 0.6013 Epoch 51/150 16/16 [==============================] - 0s 810us/step - loss: 0.6009 Epoch 52/150 16/16 [==============================] - 0s 935us/step - loss: 0.6000 Epoch 53/150 16/16 [==============================] - 0s 873us/step - loss: 0.5988 Epoch 54/150 16/16 [==============================] - 0s 810us/step - loss: 0.5978 Epoch 55/150 16/16 [==============================] - 0s 935us/step - loss: 0.5975 Epoch 56/150 16/16 [==============================] - 0s 810us/step - loss: 0.5963 Epoch 57/150 16/16 [==============================] - 0s 810us/step - loss: 0.5949 Epoch 58/150 16/16 [==============================] - 0s 935us/step - loss: 0.5943 Epoch 59/150 16/16 [==============================] - 0s 873us/step - loss: 0.5926 Epoch 60/150 16/16 [==============================] - 0s 810us/step - loss: 0.5916 Epoch 61/150 16/16 [==============================] - 0s 873us/step - loss: 0.5913 Epoch 62/150 16/16 [==============================] - 0s 873us/step - loss: 0.5902 Epoch 63/150 16/16 [==============================] - 0s 873us/step - loss: 0.5896 Epoch 64/150 16/16 [==============================] - 0s 748us/step - loss: 0.5884 Epoch 65/150 16/16 [==============================] - 0s 873us/step - loss: 0.5877 Epoch 66/150 16/16 [==============================] - 0s 873us/step - loss: 0.5875 Epoch 67/150 16/16 [==============================] - 0s 810us/step - loss: 0.5865 Epoch 68/150 16/16 [==============================] - 0s 873us/step - loss: 0.5856 Epoch 69/150 16/16 [==============================] - 0s 873us/step - loss: 0.5850 Epoch 70/150 16/16 [==============================] - 0s 873us/step - loss: 0.5844 Epoch 71/150 16/16 [==============================] - 0s 873us/step - loss: 0.5838 Epoch 72/150 16/16 [==============================] - 0s 873us/step - loss: 0.5829 Epoch 73/150 16/16 [==============================] - 0s 810us/step - loss: 0.5827 Epoch 74/150 16/16 [==============================] - 0s 873us/step - loss: 0.5817 Epoch 75/150 16/16 [==============================] - 0s 810us/step - loss: 0.5807 Epoch 76/150 16/16 [==============================] - 0s 748us/step - loss: 0.5813 Epoch 77/150 16/16 [==============================] - 0s 810us/step - loss: 0.5804 Epoch 78/150 16/16 [==============================] - 0s 810us/step - loss: 0.5806 Epoch 79/150 16/16 [==============================] - 0s 873us/step - loss: 0.5788 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5783 Epoch 81/150 16/16 [==============================] - 0s 873us/step - loss: 0.5784 Epoch 82/150 16/16 [==============================] - 0s 935us/step - loss: 0.5778 Epoch 83/150 16/16 [==============================] - 0s 810us/step - loss: 0.5766 Epoch 84/150 16/16 [==============================] - 0s 935us/step - loss: 0.5771 Epoch 85/150 16/16 [==============================] - 0s 873us/step - loss: 0.5773 Epoch 86/150 16/16 [==============================] - 0s 997us/step - loss: 0.5751 Epoch 87/150 16/16 [==============================] - 0s 810us/step - loss: 0.5754 Epoch 88/150 16/16 [==============================] - 0s 873us/step - loss: 0.5750 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5746 Epoch 90/150 16/16 [==============================] - 0s 873us/step - loss: 0.5742 Epoch 91/150 16/16 [==============================] - 0s 935us/step - loss: 0.5734 Epoch 92/150 16/16 [==============================] - 0s 873us/step - loss: 0.5728 Epoch 93/150 16/16 [==============================] - 0s 873us/step - loss: 0.5729 Epoch 94/150 16/16 [==============================] - 0s 873us/step - loss: 0.5732 Epoch 95/150 16/16 [==============================] - 0s 810us/step - loss: 0.5718 Epoch 96/150 16/16 [==============================] - 0s 873us/step - loss: 0.5721 Epoch 97/150 16/16 [==============================] - 0s 873us/step - loss: 0.5712 Epoch 98/150 16/16 [==============================] - 0s 810us/step - loss: 0.5703 Epoch 99/150 16/16 [==============================] - 0s 873us/step - loss: 0.5704 Epoch 100/150 16/16 [==============================] - 0s 873us/step - loss: 0.5704 Epoch 101/150 16/16 [==============================] - 0s 873us/step - loss: 0.5692 Epoch 102/150 16/16 [==============================] - 0s 935us/step - loss: 0.5686 Epoch 103/150 16/16 [==============================] - 0s 935us/step - loss: 0.5691 Epoch 104/150 16/16 [==============================] - 0s 935us/step - loss: 0.5685 Epoch 105/150 16/16 [==============================] - 0s 873us/step - loss: 0.5678 Epoch 106/150 16/16 [==============================] - ETA: 0s - loss: 0.536 - 0s 810us/step - loss: 0.5678 Epoch 107/150 16/16 [==============================] - 0s 810us/step - loss: 0.5683 Epoch 108/150 16/16 [==============================] - 0s 810us/step - loss: 0.5677 Epoch 109/150 16/16 [==============================] - 0s 810us/step - loss: 0.5678 Epoch 110/150 16/16 [==============================] - 0s 873us/step - loss: 0.5661 Epoch 111/150 16/16 [==============================] - 0s 873us/step - loss: 0.5672 Epoch 112/150 16/16 [==============================] - 0s 810us/step - loss: 0.5668 Epoch 113/150 16/16 [==============================] - 0s 935us/step - loss: 0.5666 Epoch 114/150 16/16 [==============================] - 0s 873us/step - loss: 0.5661 Epoch 115/150 16/16 [==============================] - 0s 935us/step - loss: 0.5648 Epoch 116/150 16/16 [==============================] - 0s 810us/step - loss: 0.5666 Epoch 117/150 16/16 [==============================] - 0s 748us/step - loss: 0.5648 Epoch 118/150 16/16 [==============================] - 0s 873us/step - loss: 0.5647 Epoch 119/150 16/16 [==============================] - 0s 935us/step - loss: 0.5643 Epoch 120/150 16/16 [==============================] - 0s 810us/step - loss: 0.5654 Epoch 121/150 16/16 [==============================] - 0s 748us/step - loss: 0.5645 Epoch 122/150 16/16 [==============================] - 0s 873us/step - loss: 0.5637 Epoch 123/150 16/16 [==============================] - 0s 810us/step - loss: 0.5644 Epoch 124/150 16/16 [==============================] - 0s 873us/step - loss: 0.5640 Epoch 125/150 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 126/150 16/16 [==============================] - 0s 873us/step - loss: 0.5630 Epoch 127/150 16/16 [==============================] - 0s 873us/step - loss: 0.5640 Epoch 128/150 16/16 [==============================] - 0s 873us/step - loss: 0.5633 Epoch 129/150 16/16 [==============================] - 0s 810us/step - loss: 0.5623 Epoch 130/150 16/16 [==============================] - 0s 935us/step - loss: 0.5640 Epoch 131/150 16/16 [==============================] - 0s 873us/step - loss: 0.5621 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5625 Epoch 133/150 16/16 [==============================] - 0s 810us/step - loss: 0.5617 Epoch 134/150 16/16 [==============================] - 0s 873us/step - loss: 0.5623 Epoch 135/150 16/16 [==============================] - 0s 873us/step - loss: 0.5620 Epoch 136/150 16/16 [==============================] - 0s 810us/step - loss: 0.5612 Epoch 137/150 16/16 [==============================] - 0s 873us/step - loss: 0.5616 Epoch 138/150 16/16 [==============================] - 0s 873us/step - loss: 0.5609 Epoch 139/150 16/16 [==============================] - 0s 748us/step - loss: 0.5611 Epoch 140/150 16/16 [==============================] - 0s 810us/step - loss: 0.5609 Epoch 141/150 16/16 [==============================] - 0s 810us/step - loss: 0.5601 Epoch 142/150 16/16 [==============================] - 0s 873us/step - loss: 0.5617 Epoch 143/150 16/16 [==============================] - 0s 935us/step - loss: 0.5598 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5614 Epoch 145/150 16/16 [==============================] - 0s 873us/step - loss: 0.5597 Epoch 146/150 16/16 [==============================] - 0s 873us/step - loss: 0.5601 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5599 Epoch 148/150 16/16 [==============================] - 0s 873us/step - loss: 0.5599 Epoch 149/150 16/16 [==============================] - 0s 873us/step - loss: 0.5602 Epoch 150/150 16/16 [==============================] - 0s 935us/step - loss: 0.5595 ###################################################################### Accuracy: 74.52229660998438 Epoch 1/150 16/16 [==============================] - 0s 922us/step - loss: 0.9761 Epoch 2/150 16/16 [==============================] - 0s 935us/step - loss: 0.9720 Epoch 3/150 16/16 [==============================] - 0s 873us/step - loss: 0.9634 Epoch 4/150 16/16 [==============================] - 0s 935us/step - loss: 0.9483 Epoch 5/150 16/16 [==============================] - 0s 873us/step - loss: 0.9274 Epoch 6/150 16/16 [==============================] - 0s 873us/step - loss: 0.9004 Epoch 7/150 16/16 [==============================] - 0s 873us/step - loss: 0.8701 Epoch 8/150 16/16 [==============================] - 0s 748us/step - loss: 0.8383 Epoch 9/150 16/16 [==============================] - 0s 810us/step - loss: 0.8072 Epoch 10/150 16/16 [==============================] - 0s 935us/step - loss: 0.7768 Epoch 11/150 16/16 [==============================] - 0s 873us/step - loss: 0.7506 Epoch 12/150 16/16 [==============================] - 0s 873us/step - loss: 0.7265 Epoch 13/150 16/16 [==============================] - 0s 810us/step - loss: 0.7033 Epoch 14/150 16/16 [==============================] - 0s 810us/step - loss: 0.6838 Epoch 15/150 16/16 [==============================] - 0s 873us/step - loss: 0.6671 Epoch 16/150 16/16 [==============================] - 0s 873us/step - loss: 0.6530 Epoch 17/150 16/16 [==============================] - 0s 935us/step - loss: 0.6420 Epoch 18/150 16/16 [==============================] - 0s 873us/step - loss: 0.6318 Epoch 19/150 16/16 [==============================] - 0s 873us/step - loss: 0.6250 Epoch 20/150 16/16 [==============================] - 0s 935us/step - loss: 0.6200 Epoch 21/150 16/16 [==============================] - 0s 873us/step - loss: 0.6163 Epoch 22/150 16/16 [==============================] - 0s 810us/step - loss: 0.6137 Epoch 23/150 16/16 [==============================] - 0s 873us/step - loss: 0.6099 Epoch 24/150 16/16 [==============================] - 0s 748us/step - loss: 0.6072 Epoch 25/150 16/16 [==============================] - 0s 873us/step - loss: 0.6059 Epoch 26/150 16/16 [==============================] - 0s 810us/step - loss: 0.6039 Epoch 27/150 16/16 [==============================] - 0s 935us/step - loss: 0.6015 Epoch 28/150 16/16 [==============================] - 0s 873us/step - loss: 0.5994 Epoch 29/150 16/16 [==============================] - 0s 873us/step - loss: 0.5965 Epoch 30/150 16/16 [==============================] - 0s 748us/step - loss: 0.5949 Epoch 31/150 16/16 [==============================] - 0s 873us/step - loss: 0.5923 Epoch 32/150 16/16 [==============================] - 0s 935us/step - loss: 0.5906 Epoch 33/150 16/16 [==============================] - 0s 935us/step - loss: 0.5898 Epoch 34/150 16/16 [==============================] - 0s 935us/step - loss: 0.5876 Epoch 35/150 16/16 [==============================] - 0s 810us/step - loss: 0.5860 Epoch 36/150 16/16 [==============================] - 0s 873us/step - loss: 0.5851 Epoch 37/150 16/16 [==============================] - 0s 810us/step - loss: 0.5837 Epoch 38/150 16/16 [==============================] - 0s 935us/step - loss: 0.5829 Epoch 39/150 16/16 [==============================] - 0s 873us/step - loss: 0.5813 Epoch 40/150 16/16 [==============================] - 0s 935us/step - loss: 0.5805 Epoch 41/150 16/16 [==============================] - 0s 935us/step - loss: 0.5790 Epoch 42/150 16/16 [==============================] - 0s 935us/step - loss: 0.5781 Epoch 43/150 16/16 [==============================] - 0s 935us/step - loss: 0.5760 Epoch 44/150 16/16 [==============================] - 0s 873us/step - loss: 0.5748 Epoch 45/150 16/16 [==============================] - 0s 810us/step - loss: 0.5748 Epoch 46/150 16/16 [==============================] - 0s 873us/step - loss: 0.5735 Epoch 47/150 16/16 [==============================] - 0s 997us/step - loss: 0.5733 Epoch 48/150 16/16 [==============================] - 0s 810us/step - loss: 0.5710 Epoch 49/150 16/16 [==============================] - 0s 873us/step - loss: 0.5704 Epoch 50/150 16/16 [==============================] - 0s 810us/step - loss: 0.5695 Epoch 51/150 16/16 [==============================] - 0s 873us/step - loss: 0.5679 Epoch 52/150 16/16 [==============================] - 0s 935us/step - loss: 0.5673 Epoch 53/150 16/16 [==============================] - 0s 810us/step - loss: 0.5670 Epoch 54/150 16/16 [==============================] - 0s 873us/step - loss: 0.5660 Epoch 55/150 16/16 [==============================] - 0s 748us/step - loss: 0.5652 Epoch 56/150 16/16 [==============================] - 0s 810us/step - loss: 0.5643 Epoch 57/150 16/16 [==============================] - 0s 935us/step - loss: 0.5637 Epoch 58/150 16/16 [==============================] - 0s 873us/step - loss: 0.5627 Epoch 59/150 16/16 [==============================] - 0s 748us/step - loss: 0.5626 Epoch 60/150 16/16 [==============================] - 0s 873us/step - loss: 0.5623 Epoch 61/150 16/16 [==============================] - 0s 873us/step - loss: 0.5613 Epoch 62/150 16/16 [==============================] - 0s 873us/step - loss: 0.5602 Epoch 63/150 16/16 [==============================] - 0s 873us/step - loss: 0.5599 Epoch 64/150 16/16 [==============================] - 0s 873us/step - loss: 0.5592 Epoch 65/150 16/16 [==============================] - 0s 873us/step - loss: 0.5598 Epoch 66/150 16/16 [==============================] - 0s 748us/step - loss: 0.5573 Epoch 67/150 16/16 [==============================] - 0s 810us/step - loss: 0.5577 Epoch 68/150 16/16 [==============================] - 0s 873us/step - loss: 0.5571 Epoch 69/150 16/16 [==============================] - 0s 935us/step - loss: 0.5574 Epoch 70/150 16/16 [==============================] - 0s 873us/step - loss: 0.5558 Epoch 71/150 16/16 [==============================] - 0s 810us/step - loss: 0.5560 Epoch 72/150 16/16 [==============================] - 0s 873us/step - loss: 0.5559 Epoch 73/150 16/16 [==============================] - 0s 873us/step - loss: 0.5551 Epoch 74/150 16/16 [==============================] - 0s 810us/step - loss: 0.5545 Epoch 75/150 16/16 [==============================] - 0s 935us/step - loss: 0.5542 Epoch 76/150 16/16 [==============================] - 0s 810us/step - loss: 0.5544 Epoch 77/150 16/16 [==============================] - 0s 935us/step - loss: 0.5530 Epoch 78/150 16/16 [==============================] - 0s 873us/step - loss: 0.5540 Epoch 79/150 16/16 [==============================] - 0s 873us/step - loss: 0.5535 Epoch 80/150 16/16 [==============================] - 0s 873us/step - loss: 0.5524 Epoch 81/150 16/16 [==============================] - 0s 748us/step - loss: 0.5519 Epoch 82/150 16/16 [==============================] - 0s 873us/step - loss: 0.5517 Epoch 83/150 16/16 [==============================] - 0s 873us/step - loss: 0.5516 Epoch 84/150 16/16 [==============================] - 0s 935us/step - loss: 0.5513 Epoch 85/150 16/16 [==============================] - 0s 935us/step - loss: 0.5511 Epoch 86/150 16/16 [==============================] - 0s 935us/step - loss: 0.5506 Epoch 87/150 16/16 [==============================] - 0s 873us/step - loss: 0.5504 Epoch 88/150 16/16 [==============================] - 0s 935us/step - loss: 0.5498 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5495 Epoch 90/150 16/16 [==============================] - 0s 873us/step - loss: 0.5509 Epoch 91/150 16/16 [==============================] - 0s 873us/step - loss: 0.5489 Epoch 92/150 16/16 [==============================] - 0s 810us/step - loss: 0.5489 Epoch 93/150 16/16 [==============================] - 0s 810us/step - loss: 0.5489 Epoch 94/150 16/16 [==============================] - 0s 873us/step - loss: 0.5487 Epoch 95/150 16/16 [==============================] - 0s 997us/step - loss: 0.5480 Epoch 96/150 16/16 [==============================] - 0s 873us/step - loss: 0.5484 Epoch 97/150 16/16 [==============================] - 0s 873us/step - loss: 0.5478 Epoch 98/150 16/16 [==============================] - 0s 935us/step - loss: 0.5476 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5469 Epoch 100/150 16/16 [==============================] - 0s 935us/step - loss: 0.5468 Epoch 101/150 16/16 [==============================] - 0s 935us/step - loss: 0.5469 Epoch 102/150 16/16 [==============================] - 0s 810us/step - loss: 0.5462 Epoch 103/150 16/16 [==============================] - 0s 873us/step - loss: 0.5456 Epoch 104/150 16/16 [==============================] - 0s 873us/step - loss: 0.5461 Epoch 105/150 16/16 [==============================] - 0s 935us/step - loss: 0.5462 Epoch 106/150 16/16 [==============================] - 0s 810us/step - loss: 0.5450 Epoch 107/150 16/16 [==============================] - 0s 810us/step - loss: 0.5460 Epoch 108/150 16/16 [==============================] - 0s 810us/step - loss: 0.5452 Epoch 109/150 16/16 [==============================] - 0s 810us/step - loss: 0.5451 Epoch 110/150 16/16 [==============================] - 0s 935us/step - loss: 0.5455 Epoch 111/150 16/16 [==============================] - 0s 810us/step - loss: 0.5450 Epoch 112/150 16/16 [==============================] - 0s 810us/step - loss: 0.5441 Epoch 113/150 16/16 [==============================] - 0s 873us/step - loss: 0.5441 Epoch 114/150 16/16 [==============================] - 0s 873us/step - loss: 0.5441 Epoch 115/150 16/16 [==============================] - 0s 873us/step - loss: 0.5441 Epoch 116/150 16/16 [==============================] - 0s 810us/step - loss: 0.5435 Epoch 117/150 16/16 [==============================] - 0s 810us/step - loss: 0.5443 Epoch 118/150 16/16 [==============================] - 0s 935us/step - loss: 0.5432 Epoch 119/150 16/16 [==============================] - 0s 873us/step - loss: 0.5433 Epoch 120/150 16/16 [==============================] - 0s 810us/step - loss: 0.5430 Epoch 121/150 16/16 [==============================] - 0s 873us/step - loss: 0.5428 Epoch 122/150 16/16 [==============================] - 0s 810us/step - loss: 0.5425 Epoch 123/150 16/16 [==============================] - 0s 873us/step - loss: 0.5431 Epoch 124/150 16/16 [==============================] - 0s 810us/step - loss: 0.5418 Epoch 125/150 16/16 [==============================] - 0s 873us/step - loss: 0.5423 Epoch 126/150 16/16 [==============================] - 0s 935us/step - loss: 0.5421 Epoch 127/150 16/16 [==============================] - 0s 873us/step - loss: 0.5419 Epoch 128/150 16/16 [==============================] - 0s 810us/step - loss: 0.5414 Epoch 129/150 16/16 [==============================] - 0s 935us/step - loss: 0.5414 Epoch 130/150 16/16 [==============================] - 0s 810us/step - loss: 0.5399 Epoch 131/150 16/16 [==============================] - 0s 810us/step - loss: 0.5413 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5410 Epoch 133/150 16/16 [==============================] - 0s 810us/step - loss: 0.5402 Epoch 134/150 16/16 [==============================] - 0s 810us/step - loss: 0.5395 Epoch 135/150 16/16 [==============================] - 0s 935us/step - loss: 0.5412 Epoch 136/150 16/16 [==============================] - 0s 935us/step - loss: 0.5405 Epoch 137/150 16/16 [==============================] - 0s 873us/step - loss: 0.5397 Epoch 138/150 16/16 [==============================] - 0s 935us/step - loss: 0.5391 Epoch 139/150 16/16 [==============================] - 0s 873us/step - loss: 0.5397 Epoch 140/150 16/16 [==============================] - 0s 873us/step - loss: 0.5396 Epoch 141/150 16/16 [==============================] - 0s 810us/step - loss: 0.5395 Epoch 142/150 16/16 [==============================] - 0s 873us/step - loss: 0.5393 Epoch 143/150 16/16 [==============================] - 0s 810us/step - loss: 0.5390 Epoch 144/150 16/16 [==============================] - 0s 935us/step - loss: 0.5385 Epoch 145/150 16/16 [==============================] - 0s 873us/step - loss: 0.5380 Epoch 146/150 16/16 [==============================] - 0s 748us/step - loss: 0.5389 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5383 Epoch 148/150 16/16 [==============================] - 0s 811us/step - loss: 0.5382 Epoch 149/150 16/16 [==============================] - 0s 748us/step - loss: 0.5370 Epoch 150/150 16/16 [==============================] - 0s 873us/step - loss: 0.5375 ###################################################################### Accuracy: 89.121306493347 Epoch 1/150 16/16 [==============================] - 0s 873us/step - loss: 1.0185 Epoch 2/150 16/16 [==============================] - 0s 872us/step - loss: 1.0148 Epoch 3/150 16/16 [==============================] - 0s 873us/step - loss: 1.0075 Epoch 4/150 16/16 [==============================] - 0s 935us/step - loss: 0.9949 Epoch 5/150 16/16 [==============================] - 0s 810us/step - loss: 0.9783 Epoch 6/150 16/16 [==============================] - 0s 810us/step - loss: 0.9564 Epoch 7/150 16/16 [==============================] - 0s 935us/step - loss: 0.9302 Epoch 8/150 16/16 [==============================] - 0s 810us/step - loss: 0.8995 Epoch 9/150 16/16 [==============================] - 0s 873us/step - loss: 0.8672 Epoch 10/150 16/16 [==============================] - 0s 873us/step - loss: 0.8338 Epoch 11/150 16/16 [==============================] - 0s 873us/step - loss: 0.8006 Epoch 12/150 16/16 [==============================] - 0s 873us/step - loss: 0.7722 Epoch 13/150 16/16 [==============================] - 0s 873us/step - loss: 0.7454 Epoch 14/150 16/16 [==============================] - 0s 935us/step - loss: 0.7252 Epoch 15/150 16/16 [==============================] - 0s 810us/step - loss: 0.7053 Epoch 16/150 16/16 [==============================] - 0s 748us/step - loss: 0.6884 Epoch 17/150 16/16 [==============================] - 0s 873us/step - loss: 0.6736 Epoch 18/150 16/16 [==============================] - 0s 873us/step - loss: 0.6633 Epoch 19/150 16/16 [==============================] - 0s 810us/step - loss: 0.6550 Epoch 20/150 16/16 [==============================] - 0s 873us/step - loss: 0.6486 Epoch 21/150 16/16 [==============================] - 0s 935us/step - loss: 0.6437 Epoch 22/150 16/16 [==============================] - 0s 873us/step - loss: 0.6409 Epoch 23/150 16/16 [==============================] - 0s 810us/step - loss: 0.6380 Epoch 24/150 16/16 [==============================] - 0s 810us/step - loss: 0.6357 Epoch 25/150 16/16 [==============================] - 0s 873us/step - loss: 0.6334 Epoch 26/150 16/16 [==============================] - 0s 873us/step - loss: 0.6319 Epoch 27/150 16/16 [==============================] - 0s 873us/step - loss: 0.6302 Epoch 28/150 16/16 [==============================] - 0s 873us/step - loss: 0.6287 Epoch 29/150 16/16 [==============================] - 0s 873us/step - loss: 0.6275 Epoch 30/150 16/16 [==============================] - 0s 810us/step - loss: 0.6257 Epoch 31/150 16/16 [==============================] - 0s 873us/step - loss: 0.6240 Epoch 32/150 16/16 [==============================] - 0s 873us/step - loss: 0.6227 Epoch 33/150 16/16 [==============================] - 0s 873us/step - loss: 0.6213 Epoch 34/150 16/16 [==============================] - 0s 810us/step - loss: 0.6199 Epoch 35/150 16/16 [==============================] - 0s 873us/step - loss: 0.6184 Epoch 36/150 16/16 [==============================] - 0s 873us/step - loss: 0.6165 Epoch 37/150 16/16 [==============================] - 0s 810us/step - loss: 0.6160 Epoch 38/150 16/16 [==============================] - 0s 748us/step - loss: 0.6143 Epoch 39/150 16/16 [==============================] - 0s 810us/step - loss: 0.6138 Epoch 40/150 16/16 [==============================] - 0s 810us/step - loss: 0.6125 Epoch 41/150 16/16 [==============================] - 0s 873us/step - loss: 0.6114 Epoch 42/150 16/16 [==============================] - 0s 873us/step - loss: 0.6103 Epoch 43/150 16/16 [==============================] - 0s 873us/step - loss: 0.6088 Epoch 44/150 16/16 [==============================] - 0s 997us/step - loss: 0.6091 Epoch 45/150 16/16 [==============================] - 0s 935us/step - loss: 0.6077 Epoch 46/150 16/16 [==============================] - 0s 810us/step - loss: 0.6065 Epoch 47/150 16/16 [==============================] - 0s 873us/step - loss: 0.6052 Epoch 48/150 16/16 [==============================] - 0s 811us/step - loss: 0.6044 Epoch 49/150 16/16 [==============================] - 0s 810us/step - loss: 0.6039 Epoch 50/150 16/16 [==============================] - 0s 873us/step - loss: 0.6033 Epoch 51/150 16/16 [==============================] - 0s 810us/step - loss: 0.6019 Epoch 52/150 16/16 [==============================] - 0s 810us/step - loss: 0.6017 Epoch 53/150 16/16 [==============================] - 0s 810us/step - loss: 0.6009 Epoch 54/150 16/16 [==============================] - 0s 748us/step - loss: 0.6003 Epoch 55/150 16/16 [==============================] - 0s 935us/step - loss: 0.5992 Epoch 56/150 16/16 [==============================] - 0s 873us/step - loss: 0.5983 Epoch 57/150 16/16 [==============================] - 0s 748us/step - loss: 0.5980 Epoch 58/150 16/16 [==============================] - 0s 873us/step - loss: 0.5975 Epoch 59/150 16/16 [==============================] - 0s 935us/step - loss: 0.5960 Epoch 60/150 16/16 [==============================] - 0s 810us/step - loss: 0.5959 Epoch 61/150 16/16 [==============================] - 0s 935us/step - loss: 0.5947 Epoch 62/150 16/16 [==============================] - 0s 810us/step - loss: 0.5944 Epoch 63/150 16/16 [==============================] - 0s 810us/step - loss: 0.5937 Epoch 64/150 16/16 [==============================] - 0s 873us/step - loss: 0.5931 Epoch 65/150 16/16 [==============================] - 0s 873us/step - loss: 0.5926 Epoch 66/150 16/16 [==============================] - 0s 810us/step - loss: 0.5916 Epoch 67/150 16/16 [==============================] - 0s 873us/step - loss: 0.5912 Epoch 68/150 16/16 [==============================] - 0s 810us/step - loss: 0.5904 Epoch 69/150 16/16 [==============================] - 0s 810us/step - loss: 0.5890 Epoch 70/150 16/16 [==============================] - 0s 810us/step - loss: 0.5884 Epoch 71/150 16/16 [==============================] - 0s 873us/step - loss: 0.5872 Epoch 72/150 16/16 [==============================] - 0s 873us/step - loss: 0.5874 Epoch 73/150 16/16 [==============================] - 0s 810us/step - loss: 0.5864 Epoch 74/150 16/16 [==============================] - 0s 748us/step - loss: 0.5857 Epoch 75/150 16/16 [==============================] - 0s 873us/step - loss: 0.5849 Epoch 76/150 16/16 [==============================] - 0s 810us/step - loss: 0.5843 Epoch 77/150 16/16 [==============================] - 0s 873us/step - loss: 0.5838 Epoch 78/150 16/16 [==============================] - 0s 873us/step - loss: 0.5837 Epoch 79/150 16/16 [==============================] - 0s 873us/step - loss: 0.5826 Epoch 80/150 16/16 [==============================] - 0s 810us/step - loss: 0.5827 Epoch 81/150 16/16 [==============================] - 0s 935us/step - loss: 0.5811 Epoch 82/150 16/16 [==============================] - 0s 935us/step - loss: 0.5808 Epoch 83/150 16/16 [==============================] - 0s 873us/step - loss: 0.5808 Epoch 84/150 16/16 [==============================] - 0s 873us/step - loss: 0.5800 Epoch 85/150 16/16 [==============================] - 0s 873us/step - loss: 0.5807 Epoch 86/150 16/16 [==============================] - 0s 873us/step - loss: 0.5786 Epoch 87/150 16/16 [==============================] - 0s 873us/step - loss: 0.5783 Epoch 88/150 16/16 [==============================] - ETA: 0s - loss: 0.559 - 0s 810us/step - loss: 0.5780 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5777 Epoch 90/150 16/16 [==============================] - 0s 935us/step - loss: 0.5766 Epoch 91/150 16/16 [==============================] - 0s 873us/step - loss: 0.5762 Epoch 92/150 16/16 [==============================] - 0s 935us/step - loss: 0.5761 Epoch 93/150 16/16 [==============================] - 0s 935us/step - loss: 0.5757 Epoch 94/150 16/16 [==============================] - 0s 935us/step - loss: 0.5749 Epoch 95/150 16/16 [==============================] - 0s 873us/step - loss: 0.5745 Epoch 96/150 16/16 [==============================] - 0s 810us/step - loss: 0.5738 Epoch 97/150 16/16 [==============================] - 0s 935us/step - loss: 0.5735 Epoch 98/150 16/16 [==============================] - 0s 810us/step - loss: 0.5738 Epoch 99/150 16/16 [==============================] - 0s 935us/step - loss: 0.5734 Epoch 100/150 16/16 [==============================] - 0s 748us/step - loss: 0.5727 Epoch 101/150 16/16 [==============================] - 0s 873us/step - loss: 0.5722 Epoch 102/150 16/16 [==============================] - 0s 935us/step - loss: 0.5714 Epoch 103/150 16/16 [==============================] - 0s 810us/step - loss: 0.5720 Epoch 104/150 16/16 [==============================] - 0s 873us/step - loss: 0.5714 Epoch 105/150 16/16 [==============================] - 0s 873us/step - loss: 0.5710 Epoch 106/150 16/16 [==============================] - 0s 810us/step - loss: 0.5703 Epoch 107/150 16/16 [==============================] - 0s 810us/step - loss: 0.5702 Epoch 108/150 16/16 [==============================] - 0s 873us/step - loss: 0.5701 Epoch 109/150 16/16 [==============================] - 0s 748us/step - loss: 0.5697 Epoch 110/150 16/16 [==============================] - 0s 935us/step - loss: 0.5700 Epoch 111/150 16/16 [==============================] - 0s 935us/step - loss: 0.5694 Epoch 112/150 16/16 [==============================] - 0s 873us/step - loss: 0.5683 Epoch 113/150 16/16 [==============================] - 0s 873us/step - loss: 0.5685 Epoch 114/150 16/16 [==============================] - 0s 873us/step - loss: 0.5686 Epoch 115/150 16/16 [==============================] - 0s 873us/step - loss: 0.5679 Epoch 116/150 16/16 [==============================] - 0s 873us/step - loss: 0.5672 Epoch 117/150 16/16 [==============================] - 0s 873us/step - loss: 0.5672 Epoch 118/150 16/16 [==============================] - 0s 935us/step - loss: 0.5671 Epoch 119/150 16/16 [==============================] - 0s 810us/step - loss: 0.5670 Epoch 120/150 16/16 [==============================] - 0s 873us/step - loss: 0.5663 Epoch 121/150 16/16 [==============================] - 0s 810us/step - loss: 0.5671 Epoch 122/150 16/16 [==============================] - 0s 810us/step - loss: 0.5663 Epoch 123/150 16/16 [==============================] - 0s 873us/step - loss: 0.5657 Epoch 124/150 16/16 [==============================] - 0s 935us/step - loss: 0.5652 Epoch 125/150 16/16 [==============================] - 0s 873us/step - loss: 0.5649 Epoch 126/150 16/16 [==============================] - 0s 873us/step - loss: 0.5658 Epoch 127/150 16/16 [==============================] - 0s 935us/step - loss: 0.5643 Epoch 128/150 16/16 [==============================] - 0s 873us/step - loss: 0.5641 Epoch 129/150 16/16 [==============================] - 0s 935us/step - loss: 0.5646 Epoch 130/150 16/16 [==============================] - 0s 810us/step - loss: 0.5644 Epoch 131/150 16/16 [==============================] - 0s 873us/step - loss: 0.5641 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5629 Epoch 133/150 16/16 [==============================] - 0s 873us/step - loss: 0.5631 Epoch 134/150 16/16 [==============================] - 0s 810us/step - loss: 0.5627 Epoch 135/150 16/16 [==============================] - 0s 810us/step - loss: 0.5625 Epoch 136/150 16/16 [==============================] - 0s 873us/step - loss: 0.5617 Epoch 137/150 16/16 [==============================] - 0s 810us/step - loss: 0.5621 Epoch 138/150 16/16 [==============================] - 0s 935us/step - loss: 0.5623 Epoch 139/150 16/16 [==============================] - 0s 935us/step - loss: 0.5615 Epoch 140/150 16/16 [==============================] - 0s 810us/step - loss: 0.5610 Epoch 141/150 16/16 [==============================] - 0s 810us/step - loss: 0.5613 Epoch 142/150 16/16 [==============================] - 0s 810us/step - loss: 0.5607 Epoch 143/150 16/16 [==============================] - 0s 810us/step - loss: 0.5606 Epoch 144/150 16/16 [==============================] - 0s 810us/step - loss: 0.5601 Epoch 145/150 16/16 [==============================] - 0s 935us/step - loss: 0.5601 Epoch 146/150 16/16 [==============================] - 0s 810us/step - loss: 0.5601 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5594 Epoch 148/150 16/16 [==============================] - 0s 873us/step - loss: 0.5592 Epoch 149/150 16/16 [==============================] - 0s 810us/step - loss: 0.5592 Epoch 150/150 16/16 [==============================] - 0s 935us/step - loss: 0.5594 ###################################################################### Accuracy: 73.47193951273594 Epoch 1/150 1/16 [>.............................] - ETA: 0s - loss: 1.0173WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 16/16 [==============================] - 0s 935us/step - loss: 0.9975 Epoch 2/150 16/16 [==============================] - 0s 935us/step - loss: 0.9861 Epoch 3/150 16/16 [==============================] - 0s 935us/step - loss: 0.9704 Epoch 4/150 16/16 [==============================] - 0s 873us/step - loss: 0.9494 Epoch 5/150 16/16 [==============================] - 0s 935us/step - loss: 0.9228 Epoch 6/150 16/16 [==============================] - 0s 873us/step - loss: 0.8924 Epoch 7/150 16/16 [==============================] - 0s 810us/step - loss: 0.8601 Epoch 8/150 16/16 [==============================] - 0s 810us/step - loss: 0.8235 Epoch 9/150 16/16 [==============================] - 0s 810us/step - loss: 0.7878 Epoch 10/150 16/16 [==============================] - 0s 997us/step - loss: 0.7547 Epoch 11/150 16/16 [==============================] - 0s 873us/step - loss: 0.7288 Epoch 12/150 16/16 [==============================] - 0s 810us/step - loss: 0.7069 Epoch 13/150 16/16 [==============================] - 0s 935us/step - loss: 0.6893 Epoch 14/150 16/16 [==============================] - 0s 873us/step - loss: 0.6755 Epoch 15/150 16/16 [==============================] - 0s 935us/step - loss: 0.6643 Epoch 16/150 16/16 [==============================] - 0s 810us/step - loss: 0.6554 Epoch 17/150 16/16 [==============================] - 0s 935us/step - loss: 0.6485 Epoch 18/150 16/16 [==============================] - 0s 810us/step - loss: 0.6436 Epoch 19/150 16/16 [==============================] - 0s 935us/step - loss: 0.6400 Epoch 20/150 16/16 [==============================] - 0s 873us/step - loss: 0.6378 Epoch 21/150 16/16 [==============================] - 0s 873us/step - loss: 0.6341 Epoch 22/150 16/16 [==============================] - 0s 935us/step - loss: 0.6321 Epoch 23/150 16/16 [==============================] - 0s 935us/step - loss: 0.6299 Epoch 24/150 16/16 [==============================] - 0s 935us/step - loss: 0.6283 Epoch 25/150 16/16 [==============================] - 0s 873us/step - loss: 0.6261 Epoch 26/150 16/16 [==============================] - 0s 873us/step - loss: 0.6243 Epoch 27/150 16/16 [==============================] - 0s 873us/step - loss: 0.6212 Epoch 28/150 16/16 [==============================] - 0s 873us/step - loss: 0.6202 Epoch 29/150 16/16 [==============================] - 0s 935us/step - loss: 0.6182 Epoch 30/150 16/16 [==============================] - 0s 873us/step - loss: 0.6161 Epoch 31/150 16/16 [==============================] - 0s 810us/step - loss: 0.6147 Epoch 32/150 16/16 [==============================] - 0s 873us/step - loss: 0.6136 Epoch 33/150 16/16 [==============================] - 0s 810us/step - loss: 0.6117 Epoch 34/150 16/16 [==============================] - 0s 873us/step - loss: 0.6103 Epoch 35/150 16/16 [==============================] - 0s 935us/step - loss: 0.6087 Epoch 36/150 16/16 [==============================] - 0s 810us/step - loss: 0.6072 Epoch 37/150 16/16 [==============================] - 0s 873us/step - loss: 0.6063 Epoch 38/150 16/16 [==============================] - 0s 873us/step - loss: 0.6049 Epoch 39/150 16/16 [==============================] - 0s 748us/step - loss: 0.6036 Epoch 40/150 16/16 [==============================] - 0s 810us/step - loss: 0.6022 Epoch 41/150 16/16 [==============================] - 0s 873us/step - loss: 0.6007 Epoch 42/150 16/16 [==============================] - 0s 748us/step - loss: 0.6005 Epoch 43/150 16/16 [==============================] - 0s 873us/step - loss: 0.5983 Epoch 44/150 16/16 [==============================] - 0s 873us/step - loss: 0.5975 Epoch 45/150 16/16 [==============================] - 0s 810us/step - loss: 0.5965 Epoch 46/150 16/16 [==============================] - 0s 873us/step - loss: 0.5959 Epoch 47/150 16/16 [==============================] - 0s 810us/step - loss: 0.5948 Epoch 48/150 16/16 [==============================] - 0s 873us/step - loss: 0.5931 Epoch 49/150 16/16 [==============================] - 0s 810us/step - loss: 0.5931 Epoch 50/150 16/16 [==============================] - 0s 810us/step - loss: 0.5923 Epoch 51/150 16/16 [==============================] - 0s 873us/step - loss: 0.5909 Epoch 52/150 16/16 [==============================] - 0s 873us/step - loss: 0.5911 Epoch 53/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5896 Epoch 54/150 16/16 [==============================] - 0s 997us/step - loss: 0.5885 Epoch 55/150 16/16 [==============================] - 0s 810us/step - loss: 0.5870 Epoch 56/150 16/16 [==============================] - 0s 935us/step - loss: 0.5875 Epoch 57/150 16/16 [==============================] - 0s 873us/step - loss: 0.5869 Epoch 58/150 16/16 [==============================] - 0s 873us/step - loss: 0.5855 Epoch 59/150 16/16 [==============================] - 0s 2ms/step - loss: 0.5850 Epoch 60/150 16/16 [==============================] - 0s 997us/step - loss: 0.5842 Epoch 61/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5832 Epoch 62/150 16/16 [==============================] - 0s 873us/step - loss: 0.5829 Epoch 63/150 16/16 [==============================] - 0s 873us/step - loss: 0.5816 Epoch 64/150 16/16 [==============================] - 0s 873us/step - loss: 0.5812 Epoch 65/150 16/16 [==============================] - 0s 873us/step - loss: 0.5802 Epoch 66/150 16/16 [==============================] - 0s 873us/step - loss: 0.5788 Epoch 67/150 16/16 [==============================] - 0s 873us/step - loss: 0.5780 Epoch 68/150 16/16 [==============================] - 0s 873us/step - loss: 0.5781 Epoch 69/150 16/16 [==============================] - 0s 811us/step - loss: 0.5768 Epoch 70/150 16/16 [==============================] - 0s 997us/step - loss: 0.5760 Epoch 71/150 16/16 [==============================] - 0s 935us/step - loss: 0.5747 Epoch 72/150 16/16 [==============================] - 0s 935us/step - loss: 0.5744 Epoch 73/150 16/16 [==============================] - 0s 935us/step - loss: 0.5736 Epoch 74/150 16/16 [==============================] - 0s 2ms/step - loss: 0.5727 Epoch 75/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5717 Epoch 76/150 16/16 [==============================] - 0s 935us/step - loss: 0.5720 Epoch 77/150 16/16 [==============================] - 0s 810us/step - loss: 0.5709 Epoch 78/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5702 Epoch 79/150 16/16 [==============================] - 0s 935us/step - loss: 0.5693 Epoch 80/150 16/16 [==============================] - 0s 935us/step - loss: 0.5694 Epoch 81/150 16/16 [==============================] - 0s 873us/step - loss: 0.5686 Epoch 82/150 16/16 [==============================] - 0s 873us/step - loss: 0.5676 Epoch 83/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5674 Epoch 84/150 16/16 [==============================] - 0s 997us/step - loss: 0.5662 Epoch 85/150 16/16 [==============================] - 0s 935us/step - loss: 0.5661 Epoch 86/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5651 Epoch 87/150 16/16 [==============================] - 0s 873us/step - loss: 0.5648 Epoch 88/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5640 Epoch 89/150 16/16 [==============================] - 0s 935us/step - loss: 0.5636 Epoch 90/150 16/16 [==============================] - 0s 935us/step - loss: 0.5637 Epoch 91/150 16/16 [==============================] - 0s 997us/step - loss: 0.5627 Epoch 92/150 16/16 [==============================] - 0s 873us/step - loss: 0.5622 Epoch 93/150 16/16 [==============================] - 0s 873us/step - loss: 0.5623 Epoch 94/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5620 Epoch 95/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5616 Epoch 96/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5606 Epoch 97/150 16/16 [==============================] - 0s 997us/step - loss: 0.5601 Epoch 98/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5610 Epoch 99/150 16/16 [==============================] - 0s 873us/step - loss: 0.5595 Epoch 100/150 16/16 [==============================] - 0s 997us/step - loss: 0.5591 Epoch 101/150 16/16 [==============================] - 0s 873us/step - loss: 0.5589 Epoch 102/150 16/16 [==============================] - 0s 935us/step - loss: 0.5585 Epoch 103/150 16/16 [==============================] - 0s 810us/step - loss: 0.5578 Epoch 104/150 16/16 [==============================] - 0s 810us/step - loss: 0.5580 Epoch 105/150 16/16 [==============================] - 0s 873us/step - loss: 0.5572 Epoch 106/150 16/16 [==============================] - 0s 810us/step - loss: 0.5573 Epoch 107/150 16/16 [==============================] - 0s 873us/step - loss: 0.5567 Epoch 108/150 16/16 [==============================] - 0s 810us/step - loss: 0.5563 Epoch 109/150 16/16 [==============================] - 0s 810us/step - loss: 0.5561 Epoch 110/150 16/16 [==============================] - 0s 873us/step - loss: 0.5552 Epoch 111/150 16/16 [==============================] - 0s 810us/step - loss: 0.5551 Epoch 112/150 16/16 [==============================] - 0s 810us/step - loss: 0.5553 Epoch 113/150 16/16 [==============================] - 0s 873us/step - loss: 0.5551 Epoch 114/150 16/16 [==============================] - 0s 748us/step - loss: 0.5540 Epoch 115/150 16/16 [==============================] - 0s 935us/step - loss: 0.5538 Epoch 116/150 16/16 [==============================] - 0s 935us/step - loss: 0.5535 Epoch 117/150 16/16 [==============================] - 0s 935us/step - loss: 0.5529 Epoch 118/150 16/16 [==============================] - 0s 873us/step - loss: 0.5529 Epoch 119/150 16/16 [==============================] - 0s 1ms/step - loss: 0.5534 Epoch 120/150 16/16 [==============================] - 0s 810us/step - loss: 0.5529 Epoch 121/150 16/16 [==============================] - 0s 935us/step - loss: 0.5522 Epoch 122/150 16/16 [==============================] - 0s 935us/step - loss: 0.5519 Epoch 123/150 16/16 [==============================] - 0s 935us/step - loss: 0.5517 Epoch 124/150 16/16 [==============================] - 0s 810us/step - loss: 0.5517 Epoch 125/150 16/16 [==============================] - 0s 873us/step - loss: 0.5518 Epoch 126/150 16/16 [==============================] - 0s 997us/step - loss: 0.5507 Epoch 127/150 16/16 [==============================] - 0s 873us/step - loss: 0.5502 Epoch 128/150 16/16 [==============================] - 0s 935us/step - loss: 0.5497 Epoch 129/150 16/16 [==============================] - 0s 873us/step - loss: 0.5506 Epoch 130/150 16/16 [==============================] - 0s 873us/step - loss: 0.5495 Epoch 131/150 16/16 [==============================] - 0s 935us/step - loss: 0.5497 Epoch 132/150 16/16 [==============================] - 0s 873us/step - loss: 0.5490 Epoch 133/150 16/16 [==============================] - ETA: 0s - loss: 0.499 - 0s 873us/step - loss: 0.5496 Epoch 134/150 16/16 [==============================] - 0s 935us/step - loss: 0.5483 Epoch 135/150 16/16 [==============================] - 0s 935us/step - loss: 0.5481 Epoch 136/150 16/16 [==============================] - 0s 935us/step - loss: 0.5484 Epoch 137/150 16/16 [==============================] - 0s 873us/step - loss: 0.5476 Epoch 138/150 16/16 [==============================] - 0s 873us/step - loss: 0.5479 Epoch 139/150 16/16 [==============================] - 0s 810us/step - loss: 0.5476 Epoch 140/150 16/16 [==============================] - 0s 810us/step - loss: 0.5465 Epoch 141/150 16/16 [==============================] - 0s 810us/step - loss: 0.5471 Epoch 142/150 16/16 [==============================] - 0s 810us/step - loss: 0.5473 Epoch 143/150 16/16 [==============================] - 0s 935us/step - loss: 0.5469 Epoch 144/150 16/16 [==============================] - 0s 873us/step - loss: 0.5465 Epoch 145/150 16/16 [==============================] - 0s 873us/step - loss: 0.5465 Epoch 146/150 16/16 [==============================] - 0s 935us/step - loss: 0.5462 Epoch 147/150 16/16 [==============================] - 0s 935us/step - loss: 0.5455 Epoch 148/150 16/16 [==============================] - 0s 873us/step - loss: 0.5450 Epoch 149/150 16/16 [==============================] - 0s 873us/step - loss: 0.5454 Epoch 150/150 16/16 [==============================] - 0s 873us/step - loss: 0.5445 ###################################################################### Accuracy: 74.47169422266317 Epoch 1/10 13/13 [==============================] - 0s 921us/step - loss: 1.0171 Epoch 2/10 13/13 [==============================] - 0s 997us/step - loss: 1.0114 Epoch 3/10 13/13 [==============================] - 0s 1ms/step - loss: 1.0026 Epoch 4/10 13/13 [==============================] - 0s 844us/step - loss: 0.9891 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9712 Epoch 6/10 13/13 [==============================] - 0s 921us/step - loss: 0.9495 Epoch 7/10 13/13 [==============================] - 0s 920us/step - loss: 0.9252 Epoch 8/10 13/13 [==============================] - 0s 997us/step - loss: 0.8969 Epoch 9/10 13/13 [==============================] - 0s 844us/step - loss: 0.8669 Epoch 10/10 13/13 [==============================] - 0s 844us/step - loss: 0.8380 ###################################################################### Accuracy: 76.30242336513479 Epoch 1/10 1/13 [=>............................] - ETA: 0s - loss: 1.2287WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 0.9861 Epoch 2/10 13/13 [==============================] - 0s 921us/step - loss: 0.9831 Epoch 3/10 13/13 [==============================] - 0s 997us/step - loss: 0.9767 Epoch 4/10 13/13 [==============================] - 0s 921us/step - loss: 0.9662 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9514 Epoch 6/10 13/13 [==============================] - 0s 998us/step - loss: 0.9331 Epoch 7/10 13/13 [==============================] - 0s 844us/step - loss: 0.9101 Epoch 8/10 13/13 [==============================] - 0s 997us/step - loss: 0.8853 Epoch 9/10 13/13 [==============================] - 0s 921us/step - loss: 0.8602 Epoch 10/10 13/13 [==============================] - 0s 844us/step - loss: 0.8369 ###################################################################### Accuracy: 110.49540887695062 Epoch 1/10 13/13 [==============================] - 0s 844us/step - loss: 0.9766 Epoch 2/10 13/13 [==============================] - 0s 921us/step - loss: 0.9749 Epoch 3/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9716 Epoch 4/10 13/13 [==============================] - 0s 921us/step - loss: 0.9654 Epoch 5/10 13/13 [==============================] - 0s 921us/step - loss: 0.9562 Epoch 6/10 13/13 [==============================] - 0s 855us/step - loss: 0.9448 Epoch 7/10 13/13 [==============================] - 0s 997us/step - loss: 0.9306 Epoch 8/10 13/13 [==============================] - 0s 844us/step - loss: 0.9120 Epoch 9/10 13/13 [==============================] - 0s 844us/step - loss: 0.8889 Epoch 10/10 13/13 [==============================] - 0s 844us/step - loss: 0.8636 ###################################################################### Accuracy: 99.58491932770517 Epoch 1/10 13/13 [==============================] - 0s 920us/step - loss: 1.0178 Epoch 2/10 13/13 [==============================] - 0s 921us/step - loss: 1.0143 Epoch 3/10 13/13 [==============================] - 0s 997us/step - loss: 1.0091 Epoch 4/10 13/13 [==============================] - 0s 921us/step - loss: 1.0002 Epoch 5/10 13/13 [==============================] - 0s 921us/step - loss: 0.9869 Epoch 6/10 13/13 [==============================] - 0s 997us/step - loss: 0.9686 Epoch 7/10 13/13 [==============================] - 0s 997us/step - loss: 0.9458 Epoch 8/10 13/13 [==============================] - 0s 844us/step - loss: 0.9181 Epoch 9/10 13/13 [==============================] - 0s 921us/step - loss: 0.8872 Epoch 10/10 13/13 [==============================] - 0s 767us/step - loss: 0.8561 ###################################################################### Accuracy: 108.53657570531446 Epoch 1/10 13/13 [==============================] - 0s 844us/step - loss: 1.0019 Epoch 2/10 13/13 [==============================] - 0s 921us/step - loss: 0.9982 Epoch 3/10 13/13 [==============================] - 0s 1ms/step - loss: 0.9895 Epoch 4/10 13/13 [==============================] - 0s 846us/step - loss: 0.9754 Epoch 5/10 13/13 [==============================] - 0s 997us/step - loss: 0.9568 Epoch 6/10 13/13 [==============================] - 0s 921us/step - loss: 0.9333 Epoch 7/10 13/13 [==============================] - 0s 921us/step - loss: 0.9060 Epoch 8/10 13/13 [==============================] - 0s 921us/step - loss: 0.8743 Epoch 9/10 13/13 [==============================] - 0s 844us/step - loss: 0.8409 Epoch 10/10 13/13 [==============================] - 0s 767us/step - loss: 0.8070 ###################################################################### Accuracy: 92.23639660637892 Epoch 1/20 13/13 [==============================] - 0s 1ms/step - loss: 1.0186 Epoch 2/20 13/13 [==============================] - 0s 921us/step - loss: 1.0151 Epoch 3/20 13/13 [==============================] - 0s 921us/step - loss: 1.0071 Epoch 4/20 13/13 [==============================] - 0s 921us/step - loss: 0.9948 Epoch 5/20 13/13 [==============================] - 0s 920us/step - loss: 0.9777 Epoch 6/20 13/13 [==============================] - 0s 997us/step - loss: 0.9553 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.9277 Epoch 8/20 13/13 [==============================] - 0s 997us/step - loss: 0.8976 Epoch 9/20 13/13 [==============================] - 0s 844us/step - loss: 0.8648 Epoch 10/20 13/13 [==============================] - 0s 921us/step - loss: 0.8298 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.7941 Epoch 12/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7599 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7299 Epoch 14/20 13/13 [==============================] - 0s 997us/step - loss: 0.7047 Epoch 15/20 13/13 [==============================] - 0s 844us/step - loss: 0.6842 Epoch 16/20 13/13 [==============================] - 0s 921us/step - loss: 0.6671 Epoch 17/20 13/13 [==============================] - 0s 997us/step - loss: 0.6559 Epoch 18/20 13/13 [==============================] - 0s 921us/step - loss: 0.6490 Epoch 19/20 13/13 [==============================] - 0s 844us/step - loss: 0.6438 Epoch 20/20 13/13 [==============================] - 0s 921us/step - loss: 0.6404 ###################################################################### Accuracy: 70.59843284378323 Epoch 1/20 13/13 [==============================] - 0s 921us/step - loss: 0.9863 Epoch 2/20 13/13 [==============================] - 0s 921us/step - loss: 0.9826 Epoch 3/20 13/13 [==============================] - 0s 997us/step - loss: 0.9774 Epoch 4/20 13/13 [==============================] - 0s 997us/step - loss: 0.9689 Epoch 5/20 13/13 [==============================] - 0s 997us/step - loss: 0.9568 Epoch 6/20 13/13 [==============================] - 0s 921us/step - loss: 0.9400 Epoch 7/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9192 Epoch 8/20 13/13 [==============================] - 0s 921us/step - loss: 0.8961 Epoch 9/20 13/13 [==============================] - 0s 767us/step - loss: 0.8710 Epoch 10/20 13/13 [==============================] - 0s 921us/step - loss: 0.8457 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.8209 Epoch 12/20 13/13 [==============================] - 0s 844us/step - loss: 0.7979 Epoch 13/20 13/13 [==============================] - 0s 921us/step - loss: 0.7776 Epoch 14/20 13/13 [==============================] - 0s 844us/step - loss: 0.7586 Epoch 15/20 13/13 [==============================] - 0s 921us/step - loss: 0.7427 Epoch 16/20 13/13 [==============================] - 0s 844us/step - loss: 0.7297 Epoch 17/20 13/13 [==============================] - 0s 997us/step - loss: 0.7177 Epoch 18/20 13/13 [==============================] - 0s 921us/step - loss: 0.7079 Epoch 19/20 13/13 [==============================] - 0s 844us/step - loss: 0.6997 Epoch 20/20 13/13 [==============================] - 0s 921us/step - loss: 0.6914 ###################################################################### Accuracy: 94.26798698491693 Epoch 1/20 13/13 [==============================] - 0s 921us/step - loss: 0.9760 Epoch 2/20 13/13 [==============================] - 0s 997us/step - loss: 0.9721 Epoch 3/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9639 Epoch 4/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9511 Epoch 5/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9344 Epoch 6/20 13/13 [==============================] - 0s 997us/step - loss: 0.9142 Epoch 7/20 13/13 [==============================] - 0s 997us/step - loss: 0.8930 Epoch 8/20 13/13 [==============================] - 0s 921us/step - loss: 0.8722 Epoch 9/20 13/13 [==============================] - 0s 997us/step - loss: 0.8529 Epoch 10/20 13/13 [==============================] - 0s 998us/step - loss: 0.8351 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.8208 Epoch 12/20 13/13 [==============================] - 0s 997us/step - loss: 0.8099 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.8008 Epoch 14/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7930 Epoch 15/20 13/13 [==============================] - 0s 997us/step - loss: 0.7865 Epoch 16/20 13/13 [==============================] - 0s 997us/step - loss: 0.7801 Epoch 17/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7742 Epoch 18/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7683 Epoch 19/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7630 Epoch 20/20 13/13 [==============================] - 0s 997us/step - loss: 0.7576 ###################################################################### Accuracy: 81.49106852475411 Epoch 1/20 1/13 [=>............................] - ETA: 0s - loss: 0.9687WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 1.0168 Epoch 2/20 13/13 [==============================] - 0s 998us/step - loss: 1.0113 Epoch 3/20 13/13 [==============================] - 0s 967us/step - loss: 1.0028 Epoch 4/20 13/13 [==============================] - 0s 844us/step - loss: 0.9899 Epoch 5/20 13/13 [==============================] - 0s 997us/step - loss: 0.9725 Epoch 6/20 13/13 [==============================] - 0s 997us/step - loss: 0.9517 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.9284 Epoch 8/20 13/13 [==============================] - 0s 844us/step - loss: 0.9041 Epoch 9/20 13/13 [==============================] - 0s 920us/step - loss: 0.8798 Epoch 10/20 13/13 [==============================] - 0s 921us/step - loss: 0.8572 Epoch 11/20 13/13 [==============================] - 0s 844us/step - loss: 0.8377 Epoch 12/20 13/13 [==============================] - 0s 844us/step - loss: 0.8201 Epoch 13/20 13/13 [==============================] - 0s 921us/step - loss: 0.8033 Epoch 14/20 13/13 [==============================] - 0s 844us/step - loss: 0.7880 Epoch 15/20 13/13 [==============================] - 0s 844us/step - loss: 0.7739 Epoch 16/20 13/13 [==============================] - 0s 997us/step - loss: 0.7592 Epoch 17/20 13/13 [==============================] - 0s 844us/step - loss: 0.7449 Epoch 18/20 13/13 [==============================] - 0s 844us/step - loss: 0.7312 Epoch 19/20 13/13 [==============================] - 0s 844us/step - loss: 0.7175 Epoch 20/20 13/13 [==============================] - 0s 997us/step - loss: 0.7046 ###################################################################### Accuracy: 77.79619182198765 Epoch 1/20 13/13 [==============================] - 0s 921us/step - loss: 1.0011 Epoch 2/20 13/13 [==============================] - 0s 997us/step - loss: 0.9961 Epoch 3/20 13/13 [==============================] - 0s 997us/step - loss: 0.9867 Epoch 4/20 13/13 [==============================] - 0s 921us/step - loss: 0.9723 Epoch 5/20 13/13 [==============================] - 0s 921us/step - loss: 0.9518 Epoch 6/20 13/13 [==============================] - 0s 1ms/step - loss: 0.9263 Epoch 7/20 13/13 [==============================] - 0s 921us/step - loss: 0.8962 Epoch 8/20 13/13 [==============================] - 0s 921us/step - loss: 0.8633 Epoch 9/20 13/13 [==============================] - 0s 921us/step - loss: 0.8312 Epoch 10/20 13/13 [==============================] - 0s 844us/step - loss: 0.8026 Epoch 11/20 13/13 [==============================] - 0s 921us/step - loss: 0.7775 Epoch 12/20 13/13 [==============================] - 0s 844us/step - loss: 0.7576 Epoch 13/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7424 Epoch 14/20 13/13 [==============================] - 0s 1ms/step - loss: 0.7301 Epoch 15/20 13/13 [==============================] - 0s 844us/step - loss: 0.7186 Epoch 16/20 13/13 [==============================] - 0s 767us/step - loss: 0.7084 Epoch 17/20 13/13 [==============================] - 0s 997us/step - loss: 0.6987 Epoch 18/20 13/13 [==============================] - 0s 921us/step - loss: 0.6894 Epoch 19/20 13/13 [==============================] - 0s 921us/step - loss: 0.6810 Epoch 20/20 13/13 [==============================] - 0s 998us/step - loss: 0.6747 ###################################################################### Accuracy: 87.37754924315924 Epoch 1/50 13/13 [==============================] - 0s 997us/step - loss: 1.0170 Epoch 2/50 13/13 [==============================] - 0s 921us/step - loss: 1.0110 Epoch 3/50 13/13 [==============================] - 0s 997us/step - loss: 1.0000 Epoch 4/50 13/13 [==============================] - 0s 844us/step - loss: 0.9842 Epoch 5/50 13/13 [==============================] - 0s 921us/step - loss: 0.9639 Epoch 6/50 13/13 [==============================] - 0s 844us/step - loss: 0.9388 Epoch 7/50 13/13 [==============================] - 0s 1ms/step - loss: 0.9123 Epoch 8/50 13/13 [==============================] - 0s 997us/step - loss: 0.8874 Epoch 9/50 13/13 [==============================] - 0s 997us/step - loss: 0.8622 Epoch 10/50 13/13 [==============================] - 0s 997us/step - loss: 0.8384 Epoch 11/50 13/13 [==============================] - 0s 921us/step - loss: 0.8174 Epoch 12/50 13/13 [==============================] - 0s 1ms/step - loss: 0.7996 Epoch 13/50 13/13 [==============================] - 0s 920us/step - loss: 0.7833 Epoch 14/50 13/13 [==============================] - ETA: 0s - loss: 0.842 - 0s 997us/step - loss: 0.7691 Epoch 15/50 13/13 [==============================] - 0s 920us/step - loss: 0.7562 Epoch 16/50 13/13 [==============================] - 0s 921us/step - loss: 0.7432 Epoch 17/50 13/13 [==============================] - 0s 844us/step - loss: 0.7304 Epoch 18/50 13/13 [==============================] - 0s 921us/step - loss: 0.7179 Epoch 19/50 13/13 [==============================] - 0s 844us/step - loss: 0.7058 Epoch 20/50 13/13 [==============================] - 0s 844us/step - loss: 0.6948 Epoch 21/50 13/13 [==============================] - 0s 921us/step - loss: 0.6839 Epoch 22/50 13/13 [==============================] - 0s 844us/step - loss: 0.6735 Epoch 23/50 13/13 [==============================] - 0s 997us/step - loss: 0.6636 Epoch 24/50 13/13 [==============================] - 0s 921us/step - loss: 0.6548 Epoch 25/50 13/13 [==============================] - 0s 844us/step - loss: 0.6469 Epoch 26/50 13/13 [==============================] - 0s 921us/step - loss: 0.6398 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.6341 Epoch 28/50 13/13 [==============================] - 0s 922us/step - loss: 0.6270 Epoch 29/50 13/13 [==============================] - 0s 997us/step - loss: 0.6210 Epoch 30/50 13/13 [==============================] - 0s 921us/step - loss: 0.6164 Epoch 31/50 13/13 [==============================] - 0s 844us/step - loss: 0.6123 Epoch 32/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6082 Epoch 33/50 13/13 [==============================] - 0s 997us/step - loss: 0.6056 Epoch 34/50 13/13 [==============================] - 0s 767us/step - loss: 0.6026 Epoch 35/50 13/13 [==============================] - 0s 844us/step - loss: 0.6010 Epoch 36/50 13/13 [==============================] - 0s 921us/step - loss: 0.5985 Epoch 37/50 13/13 [==============================] - 0s 767us/step - loss: 0.5964 Epoch 38/50 13/13 [==============================] - 0s 921us/step - loss: 0.5952 Epoch 39/50 13/13 [==============================] - 0s 921us/step - loss: 0.5931 Epoch 40/50 13/13 [==============================] - 0s 844us/step - loss: 0.5920 Epoch 41/50 13/13 [==============================] - 0s 844us/step - loss: 0.5895 Epoch 42/50 13/13 [==============================] - 0s 921us/step - loss: 0.5896 Epoch 43/50 13/13 [==============================] - 0s 921us/step - loss: 0.5872 Epoch 44/50 13/13 [==============================] - 0s 767us/step - loss: 0.5867 Epoch 45/50 13/13 [==============================] - 0s 844us/step - loss: 0.5854 Epoch 46/50 13/13 [==============================] - 0s 844us/step - loss: 0.5845 Epoch 47/50 13/13 [==============================] - 0s 921us/step - loss: 0.5829 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.5818 Epoch 49/50 13/13 [==============================] - 0s 921us/step - loss: 0.5817 Epoch 50/50 13/13 [==============================] - 0s 844us/step - loss: 0.5803 ###################################################################### Accuracy: 71.61620547342402 Epoch 1/50 13/13 [==============================] - 0s 921us/step - loss: 0.9854 Epoch 2/50 13/13 [==============================] - 0s 1ms/step - loss: 0.9811 Epoch 3/50 13/13 [==============================] - 0s 997us/step - loss: 0.9748 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9659 Epoch 5/50 13/13 [==============================] - 0s 997us/step - loss: 0.9544 Epoch 6/50 13/13 [==============================] - 0s 997us/step - loss: 0.9402 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.9227 Epoch 8/50 13/13 [==============================] - 0s 921us/step - loss: 0.9032 Epoch 9/50 13/13 [==============================] - 0s 767us/step - loss: 0.8812 Epoch 10/50 13/13 [==============================] - 0s 921us/step - loss: 0.8570 Epoch 11/50 13/13 [==============================] - 0s 921us/step - loss: 0.8316 Epoch 12/50 13/13 [==============================] - 0s 844us/step - loss: 0.8055 Epoch 13/50 13/13 [==============================] - 0s 921us/step - loss: 0.7792 Epoch 14/50 13/13 [==============================] - 0s 921us/step - loss: 0.7541 Epoch 15/50 13/13 [==============================] - 0s 921us/step - loss: 0.7313 Epoch 16/50 13/13 [==============================] - 0s 997us/step - loss: 0.7101 Epoch 17/50 13/13 [==============================] - 0s 921us/step - loss: 0.6921 Epoch 18/50 13/13 [==============================] - 0s 997us/step - loss: 0.6771 Epoch 19/50 13/13 [==============================] - 0s 997us/step - loss: 0.6667 Epoch 20/50 13/13 [==============================] - 0s 997us/step - loss: 0.6590 Epoch 21/50 13/13 [==============================] - 0s 921us/step - loss: 0.6531 Epoch 22/50 13/13 [==============================] - 0s 997us/step - loss: 0.6497 Epoch 23/50 13/13 [==============================] - 0s 921us/step - loss: 0.6469 Epoch 24/50 13/13 [==============================] - 0s 844us/step - loss: 0.6454 Epoch 25/50 13/13 [==============================] - 0s 997us/step - loss: 0.6446 Epoch 26/50 13/13 [==============================] - 0s 844us/step - loss: 0.6433 Epoch 27/50 13/13 [==============================] - 0s 844us/step - loss: 0.6421 Epoch 28/50 13/13 [==============================] - 0s 844us/step - loss: 0.6411 Epoch 29/50 13/13 [==============================] - 0s 921us/step - loss: 0.6398 Epoch 30/50 13/13 [==============================] - 0s 921us/step - loss: 0.6388 Epoch 31/50 13/13 [==============================] - 0s 844us/step - loss: 0.6381 Epoch 32/50 13/13 [==============================] - 0s 921us/step - loss: 0.6371 Epoch 33/50 13/13 [==============================] - 0s 844us/step - loss: 0.6363 Epoch 34/50 13/13 [==============================] - 0s 997us/step - loss: 0.6357 Epoch 35/50 13/13 [==============================] - 0s 844us/step - loss: 0.6346 Epoch 36/50 13/13 [==============================] - 0s 844us/step - loss: 0.6343 Epoch 37/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6326 Epoch 38/50 13/13 [==============================] - 0s 844us/step - loss: 0.6324 Epoch 39/50 13/13 [==============================] - 0s 844us/step - loss: 0.6317 Epoch 40/50 13/13 [==============================] - 0s 844us/step - loss: 0.6303 Epoch 41/50 13/13 [==============================] - 0s 997us/step - loss: 0.6306 Epoch 42/50 13/13 [==============================] - 0s 844us/step - loss: 0.6289 Epoch 43/50 13/13 [==============================] - 0s 844us/step - loss: 0.6285 Epoch 44/50 13/13 [==============================] - 0s 920us/step - loss: 0.6276 Epoch 45/50 13/13 [==============================] - 0s 921us/step - loss: 0.6268 Epoch 46/50 13/13 [==============================] - 0s 844us/step - loss: 0.6263 Epoch 47/50 13/13 [==============================] - 0s 922us/step - loss: 0.6253 Epoch 48/50 13/13 [==============================] - 0s 844us/step - loss: 0.6252 Epoch 49/50 13/13 [==============================] - 0s 844us/step - loss: 0.6245 Epoch 50/50 13/13 [==============================] - 0s 844us/step - loss: 0.6232 ###################################################################### Accuracy: 74.90825328975995 Epoch 1/50 1/13 [=>............................] - ETA: 0s - loss: 1.0193WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 0.9767 Epoch 2/50 13/13 [==============================] - 0s 921us/step - loss: 0.9748 Epoch 3/50 13/13 [==============================] - 0s 921us/step - loss: 0.9708 Epoch 4/50 13/13 [==============================] - 0s 998us/step - loss: 0.9634 Epoch 5/50 13/13 [==============================] - 0s 844us/step - loss: 0.9523 Epoch 6/50 13/13 [==============================] - 0s 920us/step - loss: 0.9374 Epoch 7/50 13/13 [==============================] - 0s 844us/step - loss: 0.9191 Epoch 8/50 13/13 [==============================] - 0s 767us/step - loss: 0.8983 Epoch 9/50 13/13 [==============================] - 0s 844us/step - loss: 0.8749 Epoch 10/50 13/13 [==============================] - 0s 844us/step - loss: 0.8495 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.8225 Epoch 12/50 13/13 [==============================] - 0s 921us/step - loss: 0.7947 Epoch 13/50 13/13 [==============================] - 0s 997us/step - loss: 0.7678 Epoch 14/50 13/13 [==============================] - 0s 921us/step - loss: 0.7443 Epoch 15/50 13/13 [==============================] - 0s 997us/step - loss: 0.7235 Epoch 16/50 13/13 [==============================] - 0s 997us/step - loss: 0.7047 Epoch 17/50 13/13 [==============================] - 0s 921us/step - loss: 0.6889 Epoch 18/50 13/13 [==============================] - 0s 997us/step - loss: 0.6746 Epoch 19/50 13/13 [==============================] - 0s 844us/step - loss: 0.6617 Epoch 20/50 13/13 [==============================] - 0s 921us/step - loss: 0.6511 Epoch 21/50 13/13 [==============================] - 0s 997us/step - loss: 0.6421 Epoch 22/50 13/13 [==============================] - 0s 844us/step - loss: 0.6345 Epoch 23/50 13/13 [==============================] - 0s 921us/step - loss: 0.6289 Epoch 24/50 13/13 [==============================] - 0s 921us/step - loss: 0.6244 Epoch 25/50 13/13 [==============================] - 0s 921us/step - loss: 0.6205 Epoch 26/50 13/13 [==============================] - 0s 844us/step - loss: 0.6186 Epoch 27/50 13/13 [==============================] - 0s 997us/step - loss: 0.6156 Epoch 28/50 13/13 [==============================] - 0s 844us/step - loss: 0.6137 Epoch 29/50 13/13 [==============================] - 0s 997us/step - loss: 0.6116 Epoch 30/50 13/13 [==============================] - 0s 997us/step - loss: 0.6095 Epoch 31/50 13/13 [==============================] - 0s 767us/step - loss: 0.6076 Epoch 32/50 13/13 [==============================] - 0s 997us/step - loss: 0.6056 Epoch 33/50 13/13 [==============================] - 0s 921us/step - loss: 0.6039 Epoch 34/50 13/13 [==============================] - 0s 767us/step - loss: 0.6028 Epoch 35/50 13/13 [==============================] - 0s 997us/step - loss: 0.6010 Epoch 36/50 13/13 [==============================] - 0s 844us/step - loss: 0.6000 Epoch 37/50 13/13 [==============================] - 0s 844us/step - loss: 0.5983 Epoch 38/50 13/13 [==============================] - 0s 1ms/step - loss: 0.5968 Epoch 39/50 13/13 [==============================] - 0s 921us/step - loss: 0.5959 Epoch 40/50 13/13 [==============================] - 0s 844us/step - loss: 0.5941 Epoch 41/50 13/13 [==============================] - ETA: 0s - loss: 0.409 - 0s 921us/step - loss: 0.5937 Epoch 42/50 13/13 [==============================] - 0s 844us/step - loss: 0.5919 Epoch 43/50 13/13 [==============================] - 0s 921us/step - loss: 0.5911 Epoch 44/50 13/13 [==============================] - 0s 844us/step - loss: 0.5908 Epoch 45/50 13/13 [==============================] - 0s 997us/step - loss: 0.5893 Epoch 46/50 13/13 [==============================] - 0s 921us/step - loss: 0.5889 Epoch 47/50 13/13 [==============================] - 0s 844us/step - loss: 0.5873 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.5865 Epoch 49/50 13/13 [==============================] - 0s 844us/step - loss: 0.5858 Epoch 50/50 13/13 [==============================] - 0s 844us/step - loss: 0.5850 ###################################################################### Accuracy: 90.0475646216292 Epoch 1/50 1/13 [=>............................] - ETA: 0s - loss: 1.4593WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 1.0164 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 1.0094 Epoch 3/50 13/13 [==============================] - 0s 1ms/step - loss: 1.0000 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9874 Epoch 5/50 13/13 [==============================] - 0s 844us/step - loss: 0.9706 Epoch 6/50 13/13 [==============================] - 0s 921us/step - loss: 0.9488 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.9241 Epoch 8/50 13/13 [==============================] - 0s 844us/step - loss: 0.8960 Epoch 9/50 13/13 [==============================] - 0s 844us/step - loss: 0.8653 Epoch 10/50 13/13 [==============================] - 0s 921us/step - loss: 0.8336 Epoch 11/50 13/13 [==============================] - 0s 844us/step - loss: 0.8012 Epoch 12/50 13/13 [==============================] - 0s 920us/step - loss: 0.7706 Epoch 13/50 13/13 [==============================] - 0s 844us/step - loss: 0.7411 Epoch 14/50 13/13 [==============================] - 0s 844us/step - loss: 0.7137 Epoch 15/50 13/13 [==============================] - 0s 921us/step - loss: 0.6913 Epoch 16/50 13/13 [==============================] - 0s 844us/step - loss: 0.6746 Epoch 17/50 13/13 [==============================] - 0s 844us/step - loss: 0.6637 Epoch 18/50 13/13 [==============================] - 0s 844us/step - loss: 0.6558 Epoch 19/50 13/13 [==============================] - 0s 997us/step - loss: 0.6509 Epoch 20/50 13/13 [==============================] - 0s 844us/step - loss: 0.6472 Epoch 21/50 13/13 [==============================] - 0s 921us/step - loss: 0.6455 Epoch 22/50 13/13 [==============================] - 0s 997us/step - loss: 0.6427 Epoch 23/50 13/13 [==============================] - 0s 921us/step - loss: 0.6411 Epoch 24/50 13/13 [==============================] - 0s 921us/step - loss: 0.6394 Epoch 25/50 13/13 [==============================] - 0s 844us/step - loss: 0.6375 Epoch 26/50 13/13 [==============================] - 0s 997us/step - loss: 0.6365 Epoch 27/50 13/13 [==============================] - 0s 921us/step - loss: 0.6345 Epoch 28/50 13/13 [==============================] - 0s 844us/step - loss: 0.6327 Epoch 29/50 13/13 [==============================] - 0s 921us/step - loss: 0.6320 Epoch 30/50 13/13 [==============================] - 0s 767us/step - loss: 0.6307 Epoch 31/50 13/13 [==============================] - 0s 844us/step - loss: 0.6294 Epoch 32/50 13/13 [==============================] - 0s 844us/step - loss: 0.6286 Epoch 33/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6272 Epoch 34/50 13/13 [==============================] - 0s 844us/step - loss: 0.6256 Epoch 35/50 13/13 [==============================] - 0s 921us/step - loss: 0.6253 Epoch 36/50 13/13 [==============================] - 0s 921us/step - loss: 0.6242 Epoch 37/50 13/13 [==============================] - 0s 921us/step - loss: 0.6231 Epoch 38/50 13/13 [==============================] - 0s 997us/step - loss: 0.6216 Epoch 39/50 13/13 [==============================] - 0s 843us/step - loss: 0.6208 Epoch 40/50 13/13 [==============================] - 0s 920us/step - loss: 0.6208 Epoch 41/50 13/13 [==============================] - 0s 844us/step - loss: 0.6186 Epoch 42/50 13/13 [==============================] - 0s 997us/step - loss: 0.6184 Epoch 43/50 13/13 [==============================] - 0s 922us/step - loss: 0.6181 Epoch 44/50 13/13 [==============================] - 0s 844us/step - loss: 0.6173 Epoch 45/50 13/13 [==============================] - 0s 1ms/step - loss: 0.6159 Epoch 46/50 13/13 [==============================] - 0s 768us/step - loss: 0.6152 Epoch 47/50 13/13 [==============================] - 0s 921us/step - loss: 0.6150 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.6138 Epoch 49/50 13/13 [==============================] - 0s 844us/step - loss: 0.6127 Epoch 50/50 13/13 [==============================] - 0s 997us/step - loss: 0.6130 ###################################################################### Accuracy: 72.57708305166837 Epoch 1/50 13/13 [==============================] - 0s 998us/step - loss: 1.0009 Epoch 2/50 13/13 [==============================] - 0s 997us/step - loss: 0.9946 Epoch 3/50 13/13 [==============================] - 0s 921us/step - loss: 0.9809 Epoch 4/50 13/13 [==============================] - 0s 921us/step - loss: 0.9620 Epoch 5/50 13/13 [==============================] - 0s 844us/step - loss: 0.9377 Epoch 6/50 13/13 [==============================] - 0s 901us/step - loss: 0.9093 Epoch 7/50 13/13 [==============================] - 0s 997us/step - loss: 0.8766 Epoch 8/50 13/13 [==============================] - 0s 921us/step - loss: 0.8433 Epoch 9/50 13/13 [==============================] - 0s 921us/step - loss: 0.8110 Epoch 10/50 13/13 [==============================] - 0s 844us/step - loss: 0.7812 Epoch 11/50 13/13 [==============================] - 0s 997us/step - loss: 0.7550 Epoch 12/50 13/13 [==============================] - 0s 921us/step - loss: 0.7345 Epoch 13/50 13/13 [==============================] - 0s 921us/step - loss: 0.7195 Epoch 14/50 13/13 [==============================] - 0s 844us/step - loss: 0.7069 Epoch 15/50 13/13 [==============================] - 0s 921us/step - loss: 0.6960 Epoch 16/50 13/13 [==============================] - 0s 921us/step - loss: 0.6852 Epoch 17/50 13/13 [==============================] - 0s 844us/step - loss: 0.6766 Epoch 18/50 13/13 [==============================] - 0s 844us/step - loss: 0.6680 Epoch 19/50 13/13 [==============================] - 0s 767us/step - loss: 0.6603 Epoch 20/50 13/13 [==============================] - 0s 921us/step - loss: 0.6532 Epoch 21/50 13/13 [==============================] - 0s 844us/step - loss: 0.6486 Epoch 22/50 13/13 [==============================] - 0s 844us/step - loss: 0.6438 Epoch 23/50 13/13 [==============================] - 0s 921us/step - loss: 0.6403 Epoch 24/50 13/13 [==============================] - 0s 844us/step - loss: 0.6362 Epoch 25/50 13/13 [==============================] - 0s 921us/step - loss: 0.6338 Epoch 26/50 13/13 [==============================] - 0s 920us/step - loss: 0.6302 Epoch 27/50 13/13 [==============================] - ETA: 0s - loss: 0.936 - 0s 997us/step - loss: 0.6288 Epoch 28/50 13/13 [==============================] - 0s 921us/step - loss: 0.6254 Epoch 29/50 13/13 [==============================] - 0s 767us/step - loss: 0.6236 Epoch 30/50 13/13 [==============================] - 0s 921us/step - loss: 0.6212 Epoch 31/50 13/13 [==============================] - 0s 844us/step - loss: 0.6194 Epoch 32/50 13/13 [==============================] - 0s 921us/step - loss: 0.6163 Epoch 33/50 13/13 [==============================] - 0s 921us/step - loss: 0.6154 Epoch 34/50 13/13 [==============================] - 0s 845us/step - loss: 0.6134 Epoch 35/50 13/13 [==============================] - 0s 844us/step - loss: 0.6112 Epoch 36/50 13/13 [==============================] - 0s 844us/step - loss: 0.6096 Epoch 37/50 13/13 [==============================] - 0s 844us/step - loss: 0.6083 Epoch 38/50 13/13 [==============================] - 0s 844us/step - loss: 0.6061 Epoch 39/50 13/13 [==============================] - 0s 921us/step - loss: 0.6049 Epoch 40/50 13/13 [==============================] - 0s 844us/step - loss: 0.6041 Epoch 41/50 13/13 [==============================] - 0s 844us/step - loss: 0.6019 Epoch 42/50 13/13 [==============================] - 0s 921us/step - loss: 0.6009 Epoch 43/50 13/13 [==============================] - 0s 921us/step - loss: 0.5990 Epoch 44/50 13/13 [==============================] - 0s 921us/step - loss: 0.5988 Epoch 45/50 13/13 [==============================] - 0s 844us/step - loss: 0.5972 Epoch 46/50 13/13 [==============================] - 0s 921us/step - loss: 0.5947 Epoch 47/50 13/13 [==============================] - 0s 844us/step - loss: 0.5945 Epoch 48/50 13/13 [==============================] - 0s 921us/step - loss: 0.5930 Epoch 49/50 13/13 [==============================] - 0s 844us/step - loss: 0.5916 Epoch 50/50 13/13 [==============================] - 0s 844us/step - loss: 0.5910 ###################################################################### Accuracy: 69.9508863136621 Epoch 1/100 13/13 [==============================] - 0s 1ms/step - loss: 1.0178 Epoch 2/100 13/13 [==============================] - 0s 921us/step - loss: 1.0121 Epoch 3/100 13/13 [==============================] - 0s 997us/step - loss: 1.0003 Epoch 4/100 13/13 [==============================] - 0s 844us/step - loss: 0.9823 Epoch 5/100 13/13 [==============================] - 0s 921us/step - loss: 0.9584 Epoch 6/100 13/13 [==============================] - 0s 921us/step - loss: 0.9301 Epoch 7/100 13/13 [==============================] - 0s 921us/step - loss: 0.9001 Epoch 8/100 13/13 [==============================] - 0s 997us/step - loss: 0.8673 Epoch 9/100 13/13 [==============================] - 0s 844us/step - loss: 0.8324 Epoch 10/100 13/13 [==============================] - 0s 921us/step - loss: 0.7992 Epoch 11/100 13/13 [==============================] - 0s 844us/step - loss: 0.7696 Epoch 12/100 13/13 [==============================] - 0s 844us/step - loss: 0.7433 Epoch 13/100 13/13 [==============================] - 0s 997us/step - loss: 0.7219 Epoch 14/100 13/13 [==============================] - 0s 844us/step - loss: 0.7049 Epoch 15/100 13/13 [==============================] - 0s 844us/step - loss: 0.6912 Epoch 16/100 13/13 [==============================] - 0s 921us/step - loss: 0.6801 Epoch 17/100 13/13 [==============================] - 0s 844us/step - loss: 0.6697 Epoch 18/100 13/13 [==============================] - 0s 844us/step - loss: 0.6626 Epoch 19/100 13/13 [==============================] - 0s 921us/step - loss: 0.6544 Epoch 20/100 13/13 [==============================] - 0s 921us/step - loss: 0.6486 Epoch 21/100 13/13 [==============================] - 0s 844us/step - loss: 0.6438 Epoch 22/100 13/13 [==============================] - 0s 997us/step - loss: 0.6398 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.6357 Epoch 24/100 13/13 [==============================] - 0s 921us/step - loss: 0.6318 Epoch 25/100 13/13 [==============================] - 0s 844us/step - loss: 0.6303 Epoch 26/100 13/13 [==============================] - 0s 921us/step - loss: 0.6271 Epoch 27/100 13/13 [==============================] - 0s 844us/step - loss: 0.6254 Epoch 28/100 13/13 [==============================] - 0s 921us/step - loss: 0.6232 Epoch 29/100 13/13 [==============================] - 0s 844us/step - loss: 0.6217 Epoch 30/100 13/13 [==============================] - 0s 921us/step - loss: 0.6197 Epoch 31/100 13/13 [==============================] - 0s 997us/step - loss: 0.6192 Epoch 32/100 13/13 [==============================] - 0s 997us/step - loss: 0.6162 Epoch 33/100 13/13 [==============================] - 0s 844us/step - loss: 0.6151 Epoch 34/100 13/13 [==============================] - 0s 844us/step - loss: 0.6143 Epoch 35/100 13/13 [==============================] - 0s 921us/step - loss: 0.6128 Epoch 36/100 13/13 [==============================] - 0s 844us/step - loss: 0.6114 Epoch 37/100 13/13 [==============================] - 0s 921us/step - loss: 0.6105 Epoch 38/100 13/13 [==============================] - 0s 997us/step - loss: 0.6087 Epoch 39/100 13/13 [==============================] - 0s 844us/step - loss: 0.6079 Epoch 40/100 13/13 [==============================] - 0s 998us/step - loss: 0.6058 Epoch 41/100 13/13 [==============================] - 0s 844us/step - loss: 0.6045 Epoch 42/100 13/13 [==============================] - 0s 844us/step - loss: 0.6036 Epoch 43/100 13/13 [==============================] - 0s 921us/step - loss: 0.6029 Epoch 44/100 13/13 [==============================] - 0s 844us/step - loss: 0.6009 Epoch 45/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6000 Epoch 46/100 13/13 [==============================] - 0s 921us/step - loss: 0.5996 Epoch 47/100 13/13 [==============================] - 0s 844us/step - loss: 0.5984 Epoch 48/100 13/13 [==============================] - 0s 767us/step - loss: 0.5978 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.5966 Epoch 50/100 13/13 [==============================] - 0s 921us/step - loss: 0.5951 Epoch 51/100 13/13 [==============================] - 0s 997us/step - loss: 0.5945 Epoch 52/100 13/13 [==============================] - 0s 997us/step - loss: 0.5939 Epoch 53/100 13/13 [==============================] - 0s 920us/step - loss: 0.5930 Epoch 54/100 13/13 [==============================] - 0s 921us/step - loss: 0.5920 Epoch 55/100 13/13 [==============================] - 0s 921us/step - loss: 0.5912 Epoch 56/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5896 Epoch 57/100 13/13 [==============================] - 0s 921us/step - loss: 0.5901 Epoch 58/100 13/13 [==============================] - 0s 844us/step - loss: 0.5879 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.5877 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.5863 Epoch 61/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5849 Epoch 62/100 13/13 [==============================] - 0s 920us/step - loss: 0.5850 Epoch 63/100 13/13 [==============================] - 0s 921us/step - loss: 0.5836 Epoch 64/100 13/13 [==============================] - 0s 844us/step - loss: 0.5831 Epoch 65/100 13/13 [==============================] - 0s 844us/step - loss: 0.5827 Epoch 66/100 13/13 [==============================] - 0s 844us/step - loss: 0.5814 Epoch 67/100 13/13 [==============================] - 0s 921us/step - loss: 0.5799 Epoch 68/100 13/13 [==============================] - 0s 921us/step - loss: 0.5796 Epoch 69/100 13/13 [==============================] - 0s 997us/step - loss: 0.5789 Epoch 70/100 13/13 [==============================] - 0s 997us/step - loss: 0.5774 Epoch 71/100 13/13 [==============================] - 0s 920us/step - loss: 0.5771 Epoch 72/100 13/13 [==============================] - 0s 844us/step - loss: 0.5769 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5757 Epoch 74/100 13/13 [==============================] - 0s 767us/step - loss: 0.5747 Epoch 75/100 13/13 [==============================] - 0s 921us/step - loss: 0.5741 Epoch 76/100 13/13 [==============================] - 0s 767us/step - loss: 0.5735 Epoch 77/100 13/13 [==============================] - 0s 844us/step - loss: 0.5725 Epoch 78/100 13/13 [==============================] - 0s 844us/step - loss: 0.5724 Epoch 79/100 13/13 [==============================] - 0s 921us/step - loss: 0.5712 Epoch 80/100 13/13 [==============================] - 0s 921us/step - loss: 0.5714 Epoch 81/100 13/13 [==============================] - 0s 844us/step - loss: 0.5699 Epoch 82/100 13/13 [==============================] - 0s 920us/step - loss: 0.5691 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5690 Epoch 84/100 13/13 [==============================] - 0s 921us/step - loss: 0.5675 Epoch 85/100 13/13 [==============================] - 0s 921us/step - loss: 0.5670 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5663 Epoch 87/100 13/13 [==============================] - 0s 845us/step - loss: 0.5661 Epoch 88/100 13/13 [==============================] - 0s 997us/step - loss: 0.5654 Epoch 89/100 13/13 [==============================] - 0s 767us/step - loss: 0.5647 Epoch 90/100 13/13 [==============================] - 0s 2ms/step - loss: 0.5644 Epoch 91/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5637 Epoch 92/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5632 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.5618 Epoch 94/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5625 Epoch 95/100 13/13 [==============================] - 0s 997us/step - loss: 0.5614 Epoch 96/100 13/13 [==============================] - 0s 844us/step - loss: 0.5601 Epoch 97/100 13/13 [==============================] - 0s 767us/step - loss: 0.5613 Epoch 98/100 13/13 [==============================] - 0s 921us/step - loss: 0.5604 Epoch 99/100 13/13 [==============================] - 0s 844us/step - loss: 0.5597 Epoch 100/100 13/13 [==============================] - 0s 844us/step - loss: 0.5593 ###################################################################### Accuracy: 69.16153542404248 Epoch 1/100 13/13 [==============================] - 0s 921us/step - loss: 0.9847 Epoch 2/100 13/13 [==============================] - 0s 997us/step - loss: 0.9802 Epoch 3/100 13/13 [==============================] - 0s 998us/step - loss: 0.9737 Epoch 4/100 13/13 [==============================] - 0s 921us/step - loss: 0.9631 Epoch 5/100 13/13 [==============================] - 0s 920us/step - loss: 0.9487 Epoch 6/100 13/13 [==============================] - 0s 921us/step - loss: 0.9301 Epoch 7/100 13/13 [==============================] - 0s 843us/step - loss: 0.9081 Epoch 8/100 13/13 [==============================] - 0s 997us/step - loss: 0.8825 Epoch 9/100 13/13 [==============================] - 0s 844us/step - loss: 0.8541 Epoch 10/100 13/13 [==============================] - 0s 997us/step - loss: 0.8251 Epoch 11/100 13/13 [==============================] - 0s 844us/step - loss: 0.7955 Epoch 12/100 13/13 [==============================] - 0s 921us/step - loss: 0.7665 Epoch 13/100 13/13 [==============================] - 0s 844us/step - loss: 0.7406 Epoch 14/100 13/13 [==============================] - 0s 844us/step - loss: 0.7158 Epoch 15/100 13/13 [==============================] - 0s 767us/step - loss: 0.6946 Epoch 16/100 13/13 [==============================] - 0s 844us/step - loss: 0.6777 Epoch 17/100 13/13 [==============================] - 0s 921us/step - loss: 0.6669 Epoch 18/100 13/13 [==============================] - 0s 997us/step - loss: 0.6581 Epoch 19/100 13/13 [==============================] - 0s 921us/step - loss: 0.6530 Epoch 20/100 13/13 [==============================] - 0s 844us/step - loss: 0.6488 Epoch 21/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6464 Epoch 22/100 13/13 [==============================] - 0s 921us/step - loss: 0.6439 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.6420 Epoch 24/100 13/13 [==============================] - 0s 767us/step - loss: 0.6407 Epoch 25/100 13/13 [==============================] - 0s 921us/step - loss: 0.6388 Epoch 26/100 13/13 [==============================] - 0s 920us/step - loss: 0.6384 Epoch 27/100 13/13 [==============================] - 0s 921us/step - loss: 0.6368 Epoch 28/100 13/13 [==============================] - 0s 767us/step - loss: 0.6347 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.6337 Epoch 30/100 13/13 [==============================] - 0s 921us/step - loss: 0.6328 Epoch 31/100 13/13 [==============================] - 0s 997us/step - loss: 0.6310 Epoch 32/100 13/13 [==============================] - 0s 844us/step - loss: 0.6301 Epoch 33/100 13/13 [==============================] - 0s 997us/step - loss: 0.6293 Epoch 34/100 13/13 [==============================] - 0s 921us/step - loss: 0.6275 Epoch 35/100 13/13 [==============================] - 0s 844us/step - loss: 0.6258 Epoch 36/100 13/13 [==============================] - 0s 844us/step - loss: 0.6255 Epoch 37/100 13/13 [==============================] - 0s 997us/step - loss: 0.6242 Epoch 38/100 13/13 [==============================] - 0s 844us/step - loss: 0.6226 Epoch 39/100 13/13 [==============================] - 0s 921us/step - loss: 0.6229 Epoch 40/100 13/13 [==============================] - 0s 844us/step - loss: 0.6200 Epoch 41/100 13/13 [==============================] - 0s 997us/step - loss: 0.6193 Epoch 42/100 13/13 [==============================] - 0s 921us/step - loss: 0.6178 Epoch 43/100 13/13 [==============================] - 0s 921us/step - loss: 0.6170 Epoch 44/100 13/13 [==============================] - 0s 844us/step - loss: 0.6154 Epoch 45/100 13/13 [==============================] - 0s 844us/step - loss: 0.6147 Epoch 46/100 13/13 [==============================] - 0s 922us/step - loss: 0.6135 Epoch 47/100 13/13 [==============================] - 0s 844us/step - loss: 0.6119 Epoch 48/100 13/13 [==============================] - 0s 921us/step - loss: 0.6115 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.6101 Epoch 50/100 13/13 [==============================] - 0s 921us/step - loss: 0.6089 Epoch 51/100 13/13 [==============================] - 0s 844us/step - loss: 0.6079 Epoch 52/100 13/13 [==============================] - 0s 844us/step - loss: 0.6062 Epoch 53/100 13/13 [==============================] - 0s 844us/step - loss: 0.6052 Epoch 54/100 13/13 [==============================] - 0s 844us/step - loss: 0.6042 Epoch 55/100 13/13 [==============================] - 0s 844us/step - loss: 0.6035 Epoch 56/100 13/13 [==============================] - 0s 844us/step - loss: 0.6012 Epoch 57/100 13/13 [==============================] - 0s 844us/step - loss: 0.6008 Epoch 58/100 13/13 [==============================] - 0s 844us/step - loss: 0.5994 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.5989 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.5974 Epoch 61/100 13/13 [==============================] - 0s 921us/step - loss: 0.5959 Epoch 62/100 13/13 [==============================] - 0s 844us/step - loss: 0.5953 Epoch 63/100 13/13 [==============================] - 0s 767us/step - loss: 0.5950 Epoch 64/100 13/13 [==============================] - 0s 921us/step - loss: 0.5937 Epoch 65/100 13/13 [==============================] - 0s 921us/step - loss: 0.5933 Epoch 66/100 13/13 [==============================] - 0s 844us/step - loss: 0.5922 Epoch 67/100 13/13 [==============================] - 0s 767us/step - loss: 0.5914 Epoch 68/100 13/13 [==============================] - 0s 921us/step - loss: 0.5911 Epoch 69/100 13/13 [==============================] - 0s 844us/step - loss: 0.5898 Epoch 70/100 13/13 [==============================] - 0s 921us/step - loss: 0.5894 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.5884 Epoch 72/100 13/13 [==============================] - 0s 844us/step - loss: 0.5886 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5869 Epoch 74/100 13/13 [==============================] - 0s 997us/step - loss: 0.5868 Epoch 75/100 13/13 [==============================] - 0s 844us/step - loss: 0.5863 Epoch 76/100 13/13 [==============================] - 0s 997us/step - loss: 0.5862 Epoch 77/100 13/13 [==============================] - 0s 920us/step - loss: 0.5854 Epoch 78/100 13/13 [==============================] - 0s 844us/step - loss: 0.5843 Epoch 79/100 13/13 [==============================] - 0s 921us/step - loss: 0.5849 Epoch 80/100 13/13 [==============================] - 0s 921us/step - loss: 0.5833 Epoch 81/100 13/13 [==============================] - 0s 844us/step - loss: 0.5838 Epoch 82/100 13/13 [==============================] - 0s 921us/step - loss: 0.5827 Epoch 83/100 13/13 [==============================] - 0s 844us/step - loss: 0.5824 Epoch 84/100 13/13 [==============================] - 0s 997us/step - loss: 0.5819 Epoch 85/100 13/13 [==============================] - 0s 921us/step - loss: 0.5808 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5814 Epoch 87/100 13/13 [==============================] - 0s 921us/step - loss: 0.5802 Epoch 88/100 13/13 [==============================] - 0s 921us/step - loss: 0.5801 Epoch 89/100 13/13 [==============================] - 0s 844us/step - loss: 0.5791 Epoch 90/100 13/13 [==============================] - 0s 997us/step - loss: 0.5787 Epoch 91/100 13/13 [==============================] - 0s 844us/step - loss: 0.5789 Epoch 92/100 13/13 [==============================] - 0s 767us/step - loss: 0.5784 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.5780 Epoch 94/100 13/13 [==============================] - 0s 844us/step - loss: 0.5767 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5764 Epoch 96/100 13/13 [==============================] - 0s 921us/step - loss: 0.5765 Epoch 97/100 13/13 [==============================] - 0s 997us/step - loss: 0.5765 Epoch 98/100 13/13 [==============================] - 0s 844us/step - loss: 0.5757 Epoch 99/100 13/13 [==============================] - 0s 921us/step - loss: 0.5750 Epoch 100/100 13/13 [==============================] - 0s 921us/step - loss: 0.5748 ###################################################################### Accuracy: 73.5762713771991 Epoch 1/100 13/13 [==============================] - 0s 921us/step - loss: 0.9766 Epoch 2/100 13/13 [==============================] - 0s 920us/step - loss: 0.9722 Epoch 3/100 13/13 [==============================] - 0s 921us/step - loss: 0.9635 Epoch 4/100 13/13 [==============================] - 0s 920us/step - loss: 0.9500 Epoch 5/100 13/13 [==============================] - 0s 921us/step - loss: 0.9321 Epoch 6/100 13/13 [==============================] - 0s 844us/step - loss: 0.9079 Epoch 7/100 13/13 [==============================] - 0s 921us/step - loss: 0.8782 Epoch 8/100 13/13 [==============================] - 0s 921us/step - loss: 0.8470 Epoch 9/100 13/13 [==============================] - 0s 921us/step - loss: 0.8130 Epoch 10/100 13/13 [==============================] - 0s 767us/step - loss: 0.7804 Epoch 11/100 13/13 [==============================] - 0s 844us/step - loss: 0.7498 Epoch 12/100 13/13 [==============================] - 0s 921us/step - loss: 0.7222 Epoch 13/100 13/13 [==============================] - 0s 844us/step - loss: 0.6984 Epoch 14/100 13/13 [==============================] - 0s 844us/step - loss: 0.6805 Epoch 15/100 13/13 [==============================] - 0s 767us/step - loss: 0.6660 Epoch 16/100 13/13 [==============================] - 0s 921us/step - loss: 0.6560 Epoch 17/100 13/13 [==============================] - 0s 921us/step - loss: 0.6481 Epoch 18/100 13/13 [==============================] - 0s 844us/step - loss: 0.6425 Epoch 19/100 13/13 [==============================] - 0s 920us/step - loss: 0.6378 Epoch 20/100 13/13 [==============================] - 0s 844us/step - loss: 0.6334 Epoch 21/100 13/13 [==============================] - 0s 844us/step - loss: 0.6310 Epoch 22/100 13/13 [==============================] - 0s 921us/step - loss: 0.6291 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.6270 Epoch 24/100 13/13 [==============================] - 0s 844us/step - loss: 0.6252 Epoch 25/100 13/13 [==============================] - 0s 997us/step - loss: 0.6244 Epoch 26/100 13/13 [==============================] - 0s 921us/step - loss: 0.6223 Epoch 27/100 13/13 [==============================] - 0s 844us/step - loss: 0.6225 Epoch 28/100 13/13 [==============================] - 0s 844us/step - loss: 0.6208 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.6203 Epoch 30/100 13/13 [==============================] - 0s 920us/step - loss: 0.6189 Epoch 31/100 13/13 [==============================] - 0s 921us/step - loss: 0.6180 Epoch 32/100 13/13 [==============================] - 0s 997us/step - loss: 0.6174 Epoch 33/100 13/13 [==============================] - 0s 921us/step - loss: 0.6161 Epoch 34/100 13/13 [==============================] - 0s 844us/step - loss: 0.6152 Epoch 35/100 13/13 [==============================] - 0s 921us/step - loss: 0.6152 Epoch 36/100 13/13 [==============================] - 0s 921us/step - loss: 0.6134 Epoch 37/100 13/13 [==============================] - 0s 997us/step - loss: 0.6135 Epoch 38/100 13/13 [==============================] - ETA: 0s - loss: 0.662 - 0s 921us/step - loss: 0.6120 Epoch 39/100 13/13 [==============================] - 0s 921us/step - loss: 0.6120 Epoch 40/100 13/13 [==============================] - 0s 921us/step - loss: 0.6115 Epoch 41/100 13/13 [==============================] - 0s 997us/step - loss: 0.6102 Epoch 42/100 13/13 [==============================] - 0s 997us/step - loss: 0.6091 Epoch 43/100 13/13 [==============================] - 0s 997us/step - loss: 0.6087 Epoch 44/100 13/13 [==============================] - 0s 997us/step - loss: 0.6083 Epoch 45/100 13/13 [==============================] - 0s 844us/step - loss: 0.6077 Epoch 46/100 13/13 [==============================] - 0s 921us/step - loss: 0.6075 Epoch 47/100 13/13 [==============================] - 0s 844us/step - loss: 0.6069 Epoch 48/100 13/13 [==============================] - 0s 921us/step - loss: 0.6060 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.6055 Epoch 50/100 13/13 [==============================] - 0s 921us/step - loss: 0.6052 Epoch 51/100 13/13 [==============================] - 0s 844us/step - loss: 0.6043 Epoch 52/100 13/13 [==============================] - 0s 921us/step - loss: 0.6032 Epoch 53/100 13/13 [==============================] - 0s 921us/step - loss: 0.6028 Epoch 54/100 13/13 [==============================] - 0s 844us/step - loss: 0.6026 Epoch 55/100 13/13 [==============================] - 0s 921us/step - loss: 0.6013 Epoch 56/100 13/13 [==============================] - 0s 844us/step - loss: 0.6010 Epoch 57/100 13/13 [==============================] - 0s 997us/step - loss: 0.6000 Epoch 58/100 13/13 [==============================] - 0s 921us/step - loss: 0.5994 Epoch 59/100 13/13 [==============================] - 0s 844us/step - loss: 0.5984 Epoch 60/100 13/13 [==============================] - 0s 997us/step - loss: 0.5978 Epoch 61/100 13/13 [==============================] - 0s 844us/step - loss: 0.5976 Epoch 62/100 13/13 [==============================] - 0s 844us/step - loss: 0.5966 Epoch 63/100 13/13 [==============================] - 0s 997us/step - loss: 0.5955 Epoch 64/100 13/13 [==============================] - 0s 844us/step - loss: 0.5951 Epoch 65/100 13/13 [==============================] - 0s 844us/step - loss: 0.5933 Epoch 66/100 13/13 [==============================] - 0s 997us/step - loss: 0.5939 Epoch 67/100 13/13 [==============================] - 0s 997us/step - loss: 0.5926 Epoch 68/100 13/13 [==============================] - 0s 921us/step - loss: 0.5921 Epoch 69/100 13/13 [==============================] - 0s 997us/step - loss: 0.5906 Epoch 70/100 13/13 [==============================] - 0s 844us/step - loss: 0.5896 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.5892 Epoch 72/100 13/13 [==============================] - 0s 844us/step - loss: 0.5875 Epoch 73/100 13/13 [==============================] - 0s 844us/step - loss: 0.5865 Epoch 74/100 13/13 [==============================] - 0s 844us/step - loss: 0.5858 Epoch 75/100 13/13 [==============================] - 0s 997us/step - loss: 0.5852 Epoch 76/100 13/13 [==============================] - 0s 921us/step - loss: 0.5839 Epoch 77/100 13/13 [==============================] - 0s 921us/step - loss: 0.5833 Epoch 78/100 13/13 [==============================] - 0s 767us/step - loss: 0.5823 Epoch 79/100 13/13 [==============================] - 0s 921us/step - loss: 0.5821 Epoch 80/100 13/13 [==============================] - 0s 921us/step - loss: 0.5806 Epoch 81/100 13/13 [==============================] - 0s 997us/step - loss: 0.5810 Epoch 82/100 13/13 [==============================] - 0s 844us/step - loss: 0.5793 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5782 Epoch 84/100 13/13 [==============================] - 0s 997us/step - loss: 0.5785 Epoch 85/100 13/13 [==============================] - 0s 997us/step - loss: 0.5771 Epoch 86/100 13/13 [==============================] - 0s 844us/step - loss: 0.5768 Epoch 87/100 13/13 [==============================] - 0s 997us/step - loss: 0.5759 Epoch 88/100 13/13 [==============================] - 0s 844us/step - loss: 0.5759 Epoch 89/100 13/13 [==============================] - 0s 767us/step - loss: 0.5745 Epoch 90/100 13/13 [==============================] - 0s 921us/step - loss: 0.5740 Epoch 91/100 13/13 [==============================] - 0s 921us/step - loss: 0.5733 Epoch 92/100 13/13 [==============================] - 0s 844us/step - loss: 0.5743 Epoch 93/100 13/13 [==============================] - 0s 921us/step - loss: 0.5724 Epoch 94/100 13/13 [==============================] - 0s 844us/step - loss: 0.5730 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5710 Epoch 96/100 13/13 [==============================] - 0s 844us/step - loss: 0.5720 Epoch 97/100 13/13 [==============================] - 0s 844us/step - loss: 0.5715 Epoch 98/100 13/13 [==============================] - 0s 921us/step - loss: 0.5709 Epoch 99/100 13/13 [==============================] - 0s 767us/step - loss: 0.5703 Epoch 100/100 13/13 [==============================] - 0s 997us/step - loss: 0.5700 ###################################################################### Accuracy: 89.8575817392805 Epoch 1/100 13/13 [==============================] - 0s 921us/step - loss: 1.0182 Epoch 2/100 13/13 [==============================] - 0s 997us/step - loss: 1.0140 Epoch 3/100 13/13 [==============================] - 0s 997us/step - loss: 1.0068 Epoch 4/100 13/13 [==============================] - 0s 844us/step - loss: 0.9952 Epoch 5/100 13/13 [==============================] - 0s 997us/step - loss: 0.9784 Epoch 6/100 13/13 [==============================] - 0s 844us/step - loss: 0.9573 Epoch 7/100 13/13 [==============================] - 0s 997us/step - loss: 0.9308 Epoch 8/100 13/13 [==============================] - 0s 921us/step - loss: 0.9015 Epoch 9/100 13/13 [==============================] - 0s 844us/step - loss: 0.8704 Epoch 10/100 13/13 [==============================] - 0s 997us/step - loss: 0.8373 Epoch 11/100 13/13 [==============================] - 0s 843us/step - loss: 0.8027 Epoch 12/100 13/13 [==============================] - 0s 921us/step - loss: 0.7699 Epoch 13/100 13/13 [==============================] - 0s 844us/step - loss: 0.7406 Epoch 14/100 13/13 [==============================] - 0s 844us/step - loss: 0.7149 Epoch 15/100 13/13 [==============================] - 0s 921us/step - loss: 0.6942 Epoch 16/100 13/13 [==============================] - 0s 997us/step - loss: 0.6783 Epoch 17/100 13/13 [==============================] - 0s 997us/step - loss: 0.6674 Epoch 18/100 13/13 [==============================] - 0s 844us/step - loss: 0.6592 Epoch 19/100 13/13 [==============================] - 0s 921us/step - loss: 0.6532 Epoch 20/100 13/13 [==============================] - 0s 921us/step - loss: 0.6495 Epoch 21/100 13/13 [==============================] - 0s 767us/step - loss: 0.6462 Epoch 22/100 13/13 [==============================] - 0s 997us/step - loss: 0.6437 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.6419 Epoch 24/100 13/13 [==============================] - 0s 844us/step - loss: 0.6399 Epoch 25/100 13/13 [==============================] - 0s 921us/step - loss: 0.6375 Epoch 26/100 13/13 [==============================] - 0s 921us/step - loss: 0.6361 Epoch 27/100 13/13 [==============================] - 0s 920us/step - loss: 0.6345 Epoch 28/100 13/13 [==============================] - 0s 997us/step - loss: 0.6330 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.6319 Epoch 30/100 13/13 [==============================] - 0s 921us/step - loss: 0.6299 Epoch 31/100 13/13 [==============================] - 0s 921us/step - loss: 0.6289 Epoch 32/100 13/13 [==============================] - 0s 997us/step - loss: 0.6272 Epoch 33/100 13/13 [==============================] - 0s 997us/step - loss: 0.6262 Epoch 34/100 13/13 [==============================] - 0s 921us/step - loss: 0.6249 Epoch 35/100 13/13 [==============================] - 0s 844us/step - loss: 0.6232 Epoch 36/100 13/13 [==============================] - 0s 921us/step - loss: 0.6223 Epoch 37/100 13/13 [==============================] - 0s 997us/step - loss: 0.6210 Epoch 38/100 13/13 [==============================] - 0s 844us/step - loss: 0.6197 Epoch 39/100 13/13 [==============================] - 0s 767us/step - loss: 0.6186 Epoch 40/100 13/13 [==============================] - 0s 997us/step - loss: 0.6174 Epoch 41/100 13/13 [==============================] - 0s 844us/step - loss: 0.6166 Epoch 42/100 13/13 [==============================] - ETA: 0s - loss: 0.796 - 0s 998us/step - loss: 0.6158 Epoch 43/100 13/13 [==============================] - 0s 844us/step - loss: 0.6150 Epoch 44/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6139 Epoch 45/100 13/13 [==============================] - 0s 921us/step - loss: 0.6128 Epoch 46/100 13/13 [==============================] - 0s 844us/step - loss: 0.6128 Epoch 47/100 13/13 [==============================] - 0s 921us/step - loss: 0.6117 Epoch 48/100 13/13 [==============================] - 0s 844us/step - loss: 0.6108 Epoch 49/100 13/13 [==============================] - 0s 921us/step - loss: 0.6098 Epoch 50/100 13/13 [==============================] - 0s 844us/step - loss: 0.6095 Epoch 51/100 13/13 [==============================] - 0s 921us/step - loss: 0.6087 Epoch 52/100 13/13 [==============================] - 0s 997us/step - loss: 0.6081 Epoch 53/100 13/13 [==============================] - 0s 997us/step - loss: 0.6075 Epoch 54/100 13/13 [==============================] - 0s 921us/step - loss: 0.6065 Epoch 55/100 13/13 [==============================] - ETA: 0s - loss: 0.535 - 0s 921us/step - loss: 0.6057 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.6053 Epoch 57/100 13/13 [==============================] - 0s 767us/step - loss: 0.6058 Epoch 58/100 13/13 [==============================] - 0s 997us/step - loss: 0.6047 Epoch 59/100 13/13 [==============================] - 0s 921us/step - loss: 0.6044 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.6033 Epoch 61/100 13/13 [==============================] - 0s 997us/step - loss: 0.6021 Epoch 62/100 13/13 [==============================] - 0s 921us/step - loss: 0.6022 Epoch 63/100 13/13 [==============================] - 0s 844us/step - loss: 0.6020 Epoch 64/100 13/13 [==============================] - 0s 921us/step - loss: 0.6012 Epoch 65/100 13/13 [==============================] - 0s 921us/step - loss: 0.6007 Epoch 66/100 13/13 [==============================] - 0s 767us/step - loss: 0.6002 Epoch 67/100 13/13 [==============================] - 0s 921us/step - loss: 0.5995 Epoch 68/100 13/13 [==============================] - 0s 844us/step - loss: 0.5997 Epoch 69/100 13/13 [==============================] - 0s 844us/step - loss: 0.5978 Epoch 70/100 13/13 [==============================] - 0s 921us/step - loss: 0.5973 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.5969 Epoch 72/100 13/13 [==============================] - 0s 920us/step - loss: 0.5965 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5954 Epoch 74/100 13/13 [==============================] - 0s 921us/step - loss: 0.5951 Epoch 75/100 13/13 [==============================] - 0s 920us/step - loss: 0.5942 Epoch 76/100 13/13 [==============================] - 0s 921us/step - loss: 0.5939 Epoch 77/100 13/13 [==============================] - 0s 921us/step - loss: 0.5937 Epoch 78/100 13/13 [==============================] - 0s 844us/step - loss: 0.5930 Epoch 79/100 13/13 [==============================] - 0s 997us/step - loss: 0.5921 Epoch 80/100 13/13 [==============================] - 0s 921us/step - loss: 0.5914 Epoch 81/100 13/13 [==============================] - 0s 767us/step - loss: 0.5914 Epoch 82/100 13/13 [==============================] - 0s 997us/step - loss: 0.5905 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5903 Epoch 84/100 13/13 [==============================] - 0s 921us/step - loss: 0.5903 Epoch 85/100 13/13 [==============================] - 0s 921us/step - loss: 0.5890 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5882 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.5884 Epoch 88/100 13/13 [==============================] - 0s 844us/step - loss: 0.5869 Epoch 89/100 13/13 [==============================] - 0s 844us/step - loss: 0.5871 Epoch 90/100 13/13 [==============================] - 0s 921us/step - loss: 0.5866 Epoch 91/100 13/13 [==============================] - 0s 844us/step - loss: 0.5858 Epoch 92/100 13/13 [==============================] - 0s 921us/step - loss: 0.5859 Epoch 93/100 13/13 [==============================] - 0s 844us/step - loss: 0.5846 Epoch 94/100 13/13 [==============================] - 0s 921us/step - loss: 0.5836 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5845 Epoch 96/100 13/13 [==============================] - 0s 920us/step - loss: 0.5844 Epoch 97/100 13/13 [==============================] - 0s 844us/step - loss: 0.5819 Epoch 98/100 13/13 [==============================] - 0s 844us/step - loss: 0.5824 Epoch 99/100 13/13 [==============================] - 0s 921us/step - loss: 0.5819 Epoch 100/100 13/13 [==============================] - 0s 921us/step - loss: 0.5816 ###################################################################### Accuracy: 73.88934151224598 Epoch 1/100 13/13 [==============================] - 0s 921us/step - loss: 1.0018 Epoch 2/100 13/13 [==============================] - 0s 997us/step - loss: 0.9975 Epoch 3/100 13/13 [==============================] - 0s 920us/step - loss: 0.9892 Epoch 4/100 13/13 [==============================] - 0s 844us/step - loss: 0.9770 Epoch 5/100 13/13 [==============================] - 0s 921us/step - loss: 0.9613 Epoch 6/100 13/13 [==============================] - 0s 844us/step - loss: 0.9419 Epoch 7/100 13/13 [==============================] - 0s 921us/step - loss: 0.9189 Epoch 8/100 13/13 [==============================] - 0s 998us/step - loss: 0.8937 Epoch 9/100 13/13 [==============================] - 0s 767us/step - loss: 0.8676 Epoch 10/100 13/13 [==============================] - 0s 921us/step - loss: 0.8421 Epoch 11/100 13/13 [==============================] - 0s 844us/step - loss: 0.8177 Epoch 12/100 13/13 [==============================] - 0s 844us/step - loss: 0.7953 Epoch 13/100 13/13 [==============================] - 0s 921us/step - loss: 0.7758 Epoch 14/100 13/13 [==============================] - 0s 844us/step - loss: 0.7584 Epoch 15/100 13/13 [==============================] - 0s 844us/step - loss: 0.7428 Epoch 16/100 13/13 [==============================] - 0s 844us/step - loss: 0.7282 Epoch 17/100 13/13 [==============================] - 0s 921us/step - loss: 0.7138 Epoch 18/100 13/13 [==============================] - 0s 921us/step - loss: 0.6999 Epoch 19/100 13/13 [==============================] - 0s 844us/step - loss: 0.6875 Epoch 20/100 13/13 [==============================] - 0s 997us/step - loss: 0.6753 Epoch 21/100 13/13 [==============================] - 0s 844us/step - loss: 0.6647 Epoch 22/100 13/13 [==============================] - 0s 844us/step - loss: 0.6548 Epoch 23/100 13/13 [==============================] - 0s 844us/step - loss: 0.6468 Epoch 24/100 13/13 [==============================] - 0s 920us/step - loss: 0.6400 Epoch 25/100 13/13 [==============================] - 0s 844us/step - loss: 0.6350 Epoch 26/100 13/13 [==============================] - 0s 844us/step - loss: 0.6305 Epoch 27/100 13/13 [==============================] - 0s 844us/step - loss: 0.6272 Epoch 28/100 13/13 [==============================] - 0s 844us/step - loss: 0.6243 Epoch 29/100 13/13 [==============================] - 0s 921us/step - loss: 0.6210 Epoch 30/100 13/13 [==============================] - 0s 844us/step - loss: 0.6194 Epoch 31/100 13/13 [==============================] - 0s 844us/step - loss: 0.6166 Epoch 32/100 13/13 [==============================] - 0s 997us/step - loss: 0.6148 Epoch 33/100 13/13 [==============================] - 0s 997us/step - loss: 0.6147 Epoch 34/100 13/13 [==============================] - 0s 844us/step - loss: 0.6120 Epoch 35/100 13/13 [==============================] - 0s 920us/step - loss: 0.6108 Epoch 36/100 13/13 [==============================] - 0s 921us/step - loss: 0.6095 Epoch 37/100 13/13 [==============================] - 0s 921us/step - loss: 0.6078 Epoch 38/100 13/13 [==============================] - 0s 921us/step - loss: 0.6069 Epoch 39/100 13/13 [==============================] - 0s 921us/step - loss: 0.6048 Epoch 40/100 13/13 [==============================] - 0s 921us/step - loss: 0.6042 Epoch 41/100 13/13 [==============================] - 0s 921us/step - loss: 0.6026 Epoch 42/100 13/13 [==============================] - 0s 1ms/step - loss: 0.6018 Epoch 43/100 13/13 [==============================] - 0s 844us/step - loss: 0.6005 Epoch 44/100 13/13 [==============================] - 0s 921us/step - loss: 0.5989 Epoch 45/100 13/13 [==============================] - 0s 921us/step - loss: 0.5978 Epoch 46/100 13/13 [==============================] - 0s 844us/step - loss: 0.5971 Epoch 47/100 13/13 [==============================] - 0s 921us/step - loss: 0.5954 Epoch 48/100 13/13 [==============================] - 0s 921us/step - loss: 0.5947 Epoch 49/100 13/13 [==============================] - 0s 844us/step - loss: 0.5936 Epoch 50/100 13/13 [==============================] - 0s 997us/step - loss: 0.5922 Epoch 51/100 13/13 [==============================] - 0s 844us/step - loss: 0.5915 Epoch 52/100 13/13 [==============================] - 0s 921us/step - loss: 0.5901 Epoch 53/100 13/13 [==============================] - 0s 921us/step - loss: 0.5893 Epoch 54/100 13/13 [==============================] - 0s 921us/step - loss: 0.5882 Epoch 55/100 13/13 [==============================] - 0s 921us/step - loss: 0.5868 Epoch 56/100 13/13 [==============================] - 0s 921us/step - loss: 0.5866 Epoch 57/100 13/13 [==============================] - 0s 921us/step - loss: 0.5853 Epoch 58/100 13/13 [==============================] - 0s 921us/step - loss: 0.5843 Epoch 59/100 13/13 [==============================] - 0s 844us/step - loss: 0.5832 Epoch 60/100 13/13 [==============================] - 0s 844us/step - loss: 0.5830 Epoch 61/100 13/13 [==============================] - 0s 844us/step - loss: 0.5820 Epoch 62/100 13/13 [==============================] - 0s 844us/step - loss: 0.5813 Epoch 63/100 13/13 [==============================] - 0s 921us/step - loss: 0.5803 Epoch 64/100 13/13 [==============================] - 0s 997us/step - loss: 0.5794 Epoch 65/100 13/13 [==============================] - 0s 844us/step - loss: 0.5786 Epoch 66/100 13/13 [==============================] - 0s 921us/step - loss: 0.5779 Epoch 67/100 13/13 [==============================] - 0s 844us/step - loss: 0.5772 Epoch 68/100 13/13 [==============================] - 0s 920us/step - loss: 0.5764 Epoch 69/100 13/13 [==============================] - 0s 844us/step - loss: 0.5758 Epoch 70/100 13/13 [==============================] - 0s 844us/step - loss: 0.5751 Epoch 71/100 13/13 [==============================] - 0s 921us/step - loss: 0.5746 Epoch 72/100 13/13 [==============================] - 0s 767us/step - loss: 0.5739 Epoch 73/100 13/13 [==============================] - 0s 921us/step - loss: 0.5737 Epoch 74/100 13/13 [==============================] - 0s 844us/step - loss: 0.5729 Epoch 75/100 13/13 [==============================] - 0s 1ms/step - loss: 0.5723 Epoch 76/100 13/13 [==============================] - 0s 921us/step - loss: 0.5718 Epoch 77/100 13/13 [==============================] - 0s 844us/step - loss: 0.5720 Epoch 78/100 13/13 [==============================] - 0s 997us/step - loss: 0.5701 Epoch 79/100 13/13 [==============================] - 0s 997us/step - loss: 0.5706 Epoch 80/100 13/13 [==============================] - 0s 844us/step - loss: 0.5699 Epoch 81/100 13/13 [==============================] - 0s 997us/step - loss: 0.5686 Epoch 82/100 13/13 [==============================] - 0s 921us/step - loss: 0.5690 Epoch 83/100 13/13 [==============================] - 0s 921us/step - loss: 0.5677 Epoch 84/100 13/13 [==============================] - 0s 921us/step - loss: 0.5681 Epoch 85/100 13/13 [==============================] - 0s 844us/step - loss: 0.5673 Epoch 86/100 13/13 [==============================] - 0s 921us/step - loss: 0.5666 Epoch 87/100 13/13 [==============================] - 0s 844us/step - loss: 0.5659 Epoch 88/100 13/13 [==============================] - 0s 920us/step - loss: 0.5654 Epoch 89/100 13/13 [==============================] - 0s 921us/step - loss: 0.5651 Epoch 90/100 13/13 [==============================] - 0s 767us/step - loss: 0.5644 Epoch 91/100 13/13 [==============================] - 0s 921us/step - loss: 0.5651 Epoch 92/100 13/13 [==============================] - 0s 844us/step - loss: 0.5634 Epoch 93/100 13/13 [==============================] - 0s 844us/step - loss: 0.5636 Epoch 94/100 13/13 [==============================] - 0s 921us/step - loss: 0.5626 Epoch 95/100 13/13 [==============================] - 0s 921us/step - loss: 0.5625 Epoch 96/100 13/13 [==============================] - 0s 844us/step - loss: 0.5615 Epoch 97/100 13/13 [==============================] - 0s 997us/step - loss: 0.5616 Epoch 98/100 13/13 [==============================] - 0s 844us/step - loss: 0.5616 Epoch 99/100 13/13 [==============================] - 0s 921us/step - loss: 0.5610 Epoch 100/100 13/13 [==============================] - 0s 921us/step - loss: 0.5610 ###################################################################### Accuracy: 71.03973414536173 Epoch 1/150 13/13 [==============================] - 0s 844us/step - loss: 1.0181 Epoch 2/150 13/13 [==============================] - 0s 997us/step - loss: 1.0139 Epoch 3/150 13/13 [==============================] - 0s 921us/step - loss: 1.0058 Epoch 4/150 13/13 [==============================] - 0s 997us/step - loss: 0.9929 Epoch 5/150 13/13 [==============================] - 0s 998us/step - loss: 0.9753 Epoch 6/150 13/13 [==============================] - 0s 921us/step - loss: 0.9532 Epoch 7/150 13/13 [==============================] - 0s 997us/step - loss: 0.9268 Epoch 8/150 13/13 [==============================] - 0s 921us/step - loss: 0.8969 Epoch 9/150 13/13 [==============================] - 0s 921us/step - loss: 0.8642 Epoch 10/150 13/13 [==============================] - 0s 844us/step - loss: 0.8298 Epoch 11/150 13/13 [==============================] - 0s 844us/step - loss: 0.7957 Epoch 12/150 13/13 [==============================] - 0s 921us/step - loss: 0.7627 Epoch 13/150 13/13 [==============================] - 0s 921us/step - loss: 0.7313 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.7042 Epoch 15/150 13/13 [==============================] - 0s 921us/step - loss: 0.6818 Epoch 16/150 13/13 [==============================] - 0s 921us/step - loss: 0.6647 Epoch 17/150 13/13 [==============================] - 0s 921us/step - loss: 0.6527 Epoch 18/150 13/13 [==============================] - 0s 921us/step - loss: 0.6448 Epoch 19/150 13/13 [==============================] - 0s 844us/step - loss: 0.6404 Epoch 20/150 13/13 [==============================] - 0s 920us/step - loss: 0.6366 Epoch 21/150 13/13 [==============================] - 0s 997us/step - loss: 0.6341 Epoch 22/150 13/13 [==============================] - 0s 921us/step - loss: 0.6318 Epoch 23/150 13/13 [==============================] - 0s 921us/step - loss: 0.6295 Epoch 24/150 13/13 [==============================] - 0s 921us/step - loss: 0.6275 Epoch 25/150 13/13 [==============================] - 0s 767us/step - loss: 0.6257 Epoch 26/150 13/13 [==============================] - 0s 997us/step - loss: 0.6239 Epoch 27/150 13/13 [==============================] - 0s 921us/step - loss: 0.6221 Epoch 28/150 13/13 [==============================] - 0s 921us/step - loss: 0.6201 Epoch 29/150 13/13 [==============================] - 0s 997us/step - loss: 0.6183 Epoch 30/150 13/13 [==============================] - 0s 844us/step - loss: 0.6163 Epoch 31/150 13/13 [==============================] - 0s 921us/step - loss: 0.6149 Epoch 32/150 13/13 [==============================] - 0s 921us/step - loss: 0.6137 Epoch 33/150 13/13 [==============================] - 0s 844us/step - loss: 0.6112 Epoch 34/150 13/13 [==============================] - 0s 844us/step - loss: 0.6102 Epoch 35/150 13/13 [==============================] - ETA: 0s - loss: 0.492 - 0s 844us/step - loss: 0.6090 Epoch 36/150 13/13 [==============================] - 0s 844us/step - loss: 0.6071 Epoch 37/150 13/13 [==============================] - 0s 844us/step - loss: 0.6063 Epoch 38/150 13/13 [==============================] - 0s 844us/step - loss: 0.6051 Epoch 39/150 13/13 [==============================] - 0s 844us/step - loss: 0.6031 Epoch 40/150 13/13 [==============================] - 0s 921us/step - loss: 0.6020 Epoch 41/150 13/13 [==============================] - 0s 921us/step - loss: 0.6009 Epoch 42/150 13/13 [==============================] - 0s 921us/step - loss: 0.6002 Epoch 43/150 13/13 [==============================] - 0s 921us/step - loss: 0.5986 Epoch 44/150 13/13 [==============================] - 0s 921us/step - loss: 0.5974 Epoch 45/150 13/13 [==============================] - 0s 997us/step - loss: 0.5961 Epoch 46/150 13/13 [==============================] - 0s 844us/step - loss: 0.5946 Epoch 47/150 13/13 [==============================] - 0s 920us/step - loss: 0.5935 Epoch 48/150 13/13 [==============================] - 0s 844us/step - loss: 0.5917 Epoch 49/150 13/13 [==============================] - 0s 844us/step - loss: 0.5908 Epoch 50/150 13/13 [==============================] - 0s 920us/step - loss: 0.5899 Epoch 51/150 13/13 [==============================] - 0s 767us/step - loss: 0.5886 Epoch 52/150 13/13 [==============================] - 0s 921us/step - loss: 0.5872 Epoch 53/150 13/13 [==============================] - 0s 844us/step - loss: 0.5868 Epoch 54/150 13/13 [==============================] - 0s 997us/step - loss: 0.5852 Epoch 55/150 13/13 [==============================] - 0s 844us/step - loss: 0.5841 Epoch 56/150 13/13 [==============================] - 0s 844us/step - loss: 0.5833 Epoch 57/150 13/13 [==============================] - 0s 921us/step - loss: 0.5827 Epoch 58/150 13/13 [==============================] - 0s 921us/step - loss: 0.5813 Epoch 59/150 13/13 [==============================] - 0s 844us/step - loss: 0.5810 Epoch 60/150 13/13 [==============================] - 0s 997us/step - loss: 0.5797 Epoch 61/150 13/13 [==============================] - 0s 920us/step - loss: 0.5789 Epoch 62/150 13/13 [==============================] - 0s 921us/step - loss: 0.5782 Epoch 63/150 13/13 [==============================] - 0s 997us/step - loss: 0.5764 Epoch 64/150 13/13 [==============================] - 0s 767us/step - loss: 0.5761 Epoch 65/150 13/13 [==============================] - 0s 921us/step - loss: 0.5758 Epoch 66/150 13/13 [==============================] - 0s 920us/step - loss: 0.5742 Epoch 67/150 13/13 [==============================] - 0s 844us/step - loss: 0.5732 Epoch 68/150 13/13 [==============================] - 0s 921us/step - loss: 0.5733 Epoch 69/150 13/13 [==============================] - 0s 844us/step - loss: 0.5718 Epoch 70/150 13/13 [==============================] - 0s 844us/step - loss: 0.5720 Epoch 71/150 13/13 [==============================] - 0s 921us/step - loss: 0.5705 Epoch 72/150 13/13 [==============================] - 0s 844us/step - loss: 0.5706 Epoch 73/150 13/13 [==============================] - 0s 844us/step - loss: 0.5687 Epoch 74/150 13/13 [==============================] - 0s 921us/step - loss: 0.5689 Epoch 75/150 13/13 [==============================] - 0s 920us/step - loss: 0.5681 Epoch 76/150 13/13 [==============================] - 0s 997us/step - loss: 0.5675 Epoch 77/150 13/13 [==============================] - 0s 921us/step - loss: 0.5667 Epoch 78/150 13/13 [==============================] - 0s 844us/step - loss: 0.5661 Epoch 79/150 13/13 [==============================] - 0s 844us/step - loss: 0.5649 Epoch 80/150 13/13 [==============================] - 0s 844us/step - loss: 0.5650 Epoch 81/150 13/13 [==============================] - 0s 767us/step - loss: 0.5635 Epoch 82/150 13/13 [==============================] - 0s 921us/step - loss: 0.5634 Epoch 83/150 13/13 [==============================] - 0s 921us/step - loss: 0.5625 Epoch 84/150 13/13 [==============================] - 0s 844us/step - loss: 0.5625 Epoch 85/150 13/13 [==============================] - 0s 921us/step - loss: 0.5616 Epoch 86/150 13/13 [==============================] - 0s 844us/step - loss: 0.5613 Epoch 87/150 13/13 [==============================] - 0s 844us/step - loss: 0.5605 Epoch 88/150 13/13 [==============================] - 0s 997us/step - loss: 0.5602 Epoch 89/150 13/13 [==============================] - 0s 921us/step - loss: 0.5595 Epoch 90/150 13/13 [==============================] - 0s 844us/step - loss: 0.5592 Epoch 91/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5587 Epoch 92/150 13/13 [==============================] - 0s 844us/step - loss: 0.5581 Epoch 93/150 13/13 [==============================] - 0s 920us/step - loss: 0.5578 Epoch 94/150 13/13 [==============================] - 0s 844us/step - loss: 0.5573 Epoch 95/150 13/13 [==============================] - 0s 921us/step - loss: 0.5569 Epoch 96/150 13/13 [==============================] - 0s 844us/step - loss: 0.5571 Epoch 97/150 13/13 [==============================] - 0s 844us/step - loss: 0.5559 Epoch 98/150 13/13 [==============================] - 0s 921us/step - loss: 0.5557 Epoch 99/150 13/13 [==============================] - 0s 844us/step - loss: 0.5556 Epoch 100/150 13/13 [==============================] - 0s 921us/step - loss: 0.5551 Epoch 101/150 13/13 [==============================] - 0s 844us/step - loss: 0.5545 Epoch 102/150 13/13 [==============================] - 0s 997us/step - loss: 0.5540 Epoch 103/150 13/13 [==============================] - 0s 844us/step - loss: 0.5543 Epoch 104/150 13/13 [==============================] - 0s 844us/step - loss: 0.5540 Epoch 105/150 13/13 [==============================] - ETA: 0s - loss: 0.840 - 0s 844us/step - loss: 0.5529 Epoch 106/150 13/13 [==============================] - 0s 844us/step - loss: 0.5530 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.5522 Epoch 108/150 13/13 [==============================] - 0s 844us/step - loss: 0.5526 Epoch 109/150 13/13 [==============================] - 0s 844us/step - loss: 0.5528 Epoch 110/150 13/13 [==============================] - 0s 997us/step - loss: 0.5511 Epoch 111/150 13/13 [==============================] - 0s 844us/step - loss: 0.5518 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.5509 Epoch 113/150 13/13 [==============================] - 0s 921us/step - loss: 0.5508 Epoch 114/150 13/13 [==============================] - 0s 844us/step - loss: 0.5505 Epoch 115/150 13/13 [==============================] - 0s 844us/step - loss: 0.5496 Epoch 116/150 13/13 [==============================] - 0s 920us/step - loss: 0.5496 Epoch 117/150 13/13 [==============================] - 0s 844us/step - loss: 0.5506 Epoch 118/150 13/13 [==============================] - 0s 844us/step - loss: 0.5489 Epoch 119/150 13/13 [==============================] - 0s 921us/step - loss: 0.5495 Epoch 120/150 13/13 [==============================] - 0s 844us/step - loss: 0.5489 Epoch 121/150 13/13 [==============================] - 0s 997us/step - loss: 0.5489 Epoch 122/150 13/13 [==============================] - 0s 921us/step - loss: 0.5481 Epoch 123/150 13/13 [==============================] - 0s 844us/step - loss: 0.5475 Epoch 124/150 13/13 [==============================] - 0s 767us/step - loss: 0.5480 Epoch 125/150 13/13 [==============================] - 0s 844us/step - loss: 0.5476 Epoch 126/150 13/13 [==============================] - 0s 844us/step - loss: 0.5479 Epoch 127/150 13/13 [==============================] - 0s 844us/step - loss: 0.5463 Epoch 128/150 13/13 [==============================] - 0s 921us/step - loss: 0.5475 Epoch 129/150 13/13 [==============================] - 0s 921us/step - loss: 0.5469 Epoch 130/150 13/13 [==============================] - 0s 844us/step - loss: 0.5462 Epoch 131/150 13/13 [==============================] - 0s 844us/step - loss: 0.5462 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5458 Epoch 133/150 13/13 [==============================] - 0s 921us/step - loss: 0.5460 Epoch 134/150 13/13 [==============================] - 0s 844us/step - loss: 0.5459 Epoch 135/150 13/13 [==============================] - 0s 921us/step - loss: 0.5460 Epoch 136/150 13/13 [==============================] - 0s 921us/step - loss: 0.5456 Epoch 137/150 13/13 [==============================] - 0s 921us/step - loss: 0.5445 Epoch 138/150 13/13 [==============================] - 0s 921us/step - loss: 0.5454 Epoch 139/150 13/13 [==============================] - 0s 921us/step - loss: 0.5443 Epoch 140/150 13/13 [==============================] - 0s 844us/step - loss: 0.5448 Epoch 141/150 13/13 [==============================] - 0s 921us/step - loss: 0.5442 Epoch 142/150 13/13 [==============================] - ETA: 0s - loss: 0.625 - 0s 844us/step - loss: 0.5443 Epoch 143/150 13/13 [==============================] - 0s 920us/step - loss: 0.5440 Epoch 144/150 13/13 [==============================] - 0s 921us/step - loss: 0.5433 Epoch 145/150 13/13 [==============================] - 0s 921us/step - loss: 0.5428 Epoch 146/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5444 Epoch 147/150 13/13 [==============================] - 0s 997us/step - loss: 0.5432 Epoch 148/150 13/13 [==============================] - 0s 921us/step - loss: 0.5430 Epoch 149/150 13/13 [==============================] - 0s 921us/step - loss: 0.5428 Epoch 150/150 13/13 [==============================] - 0s 921us/step - loss: 0.5420 ###################################################################### Accuracy: 73.91581979275595 Epoch 1/150 1/13 [=>............................] - ETA: 0s - loss: 1.0432WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 0.9838 Epoch 2/150 13/13 [==============================] - 0s 921us/step - loss: 0.9755 Epoch 3/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9619 Epoch 4/150 13/13 [==============================] - 0s 921us/step - loss: 0.9422 Epoch 5/150 13/13 [==============================] - 0s 997us/step - loss: 0.9176 Epoch 6/150 13/13 [==============================] - 0s 997us/step - loss: 0.8885 Epoch 7/150 13/13 [==============================] - 0s 922us/step - loss: 0.8579 Epoch 8/150 13/13 [==============================] - 0s 844us/step - loss: 0.8276 Epoch 9/150 13/13 [==============================] - 0s 921us/step - loss: 0.7989 Epoch 10/150 13/13 [==============================] - 0s 844us/step - loss: 0.7752 Epoch 11/150 13/13 [==============================] - 0s 921us/step - loss: 0.7553 Epoch 12/150 13/13 [==============================] - 0s 844us/step - loss: 0.7376 Epoch 13/150 13/13 [==============================] - 0s 998us/step - loss: 0.7228 Epoch 14/150 13/13 [==============================] - 0s 844us/step - loss: 0.7114 Epoch 15/150 13/13 [==============================] - 0s 767us/step - loss: 0.7017 Epoch 16/150 13/13 [==============================] - 0s 997us/step - loss: 0.6922 Epoch 17/150 13/13 [==============================] - 0s 844us/step - loss: 0.6839 Epoch 18/150 13/13 [==============================] - 0s 844us/step - loss: 0.6761 Epoch 19/150 13/13 [==============================] - 0s 921us/step - loss: 0.6695 Epoch 20/150 13/13 [==============================] - 0s 997us/step - loss: 0.6629 Epoch 21/150 13/13 [==============================] - 0s 921us/step - loss: 0.6574 Epoch 22/150 13/13 [==============================] - 0s 767us/step - loss: 0.6530 Epoch 23/150 13/13 [==============================] - 0s 921us/step - loss: 0.6490 Epoch 24/150 13/13 [==============================] - ETA: 0s - loss: 0.548 - 0s 844us/step - loss: 0.6445 Epoch 25/150 13/13 [==============================] - 0s 997us/step - loss: 0.6412 Epoch 26/150 13/13 [==============================] - 0s 767us/step - loss: 0.6383 Epoch 27/150 13/13 [==============================] - 0s 844us/step - loss: 0.6358 Epoch 28/150 13/13 [==============================] - 0s 844us/step - loss: 0.6340 Epoch 29/150 13/13 [==============================] - 0s 921us/step - loss: 0.6318 Epoch 30/150 13/13 [==============================] - 0s 921us/step - loss: 0.6297 Epoch 31/150 13/13 [==============================] - 0s 921us/step - loss: 0.6283 Epoch 32/150 13/13 [==============================] - 0s 921us/step - loss: 0.6271 Epoch 33/150 13/13 [==============================] - 0s 921us/step - loss: 0.6250 Epoch 34/150 13/13 [==============================] - 0s 997us/step - loss: 0.6231 Epoch 35/150 13/13 [==============================] - 0s 921us/step - loss: 0.6216 Epoch 36/150 13/13 [==============================] - 0s 767us/step - loss: 0.6205 Epoch 37/150 13/13 [==============================] - 0s 767us/step - loss: 0.6191 Epoch 38/150 13/13 [==============================] - 0s 997us/step - loss: 0.6178 Epoch 39/150 13/13 [==============================] - 0s 844us/step - loss: 0.6157 Epoch 40/150 13/13 [==============================] - 0s 921us/step - loss: 0.6154 Epoch 41/150 13/13 [==============================] - 0s 844us/step - loss: 0.6141 Epoch 42/150 13/13 [==============================] - 0s 921us/step - loss: 0.6129 Epoch 43/150 13/13 [==============================] - 0s 767us/step - loss: 0.6109 Epoch 44/150 13/13 [==============================] - 0s 997us/step - loss: 0.6103 Epoch 45/150 13/13 [==============================] - 0s 844us/step - loss: 0.6084 Epoch 46/150 13/13 [==============================] - 0s 921us/step - loss: 0.6076 Epoch 47/150 13/13 [==============================] - 0s 997us/step - loss: 0.6070 Epoch 48/150 13/13 [==============================] - 0s 920us/step - loss: 0.6058 Epoch 49/150 13/13 [==============================] - 0s 921us/step - loss: 0.6043 Epoch 50/150 13/13 [==============================] - 0s 921us/step - loss: 0.6032 Epoch 51/150 13/13 [==============================] - 0s 997us/step - loss: 0.6031 Epoch 52/150 13/13 [==============================] - 0s 844us/step - loss: 0.6013 Epoch 53/150 13/13 [==============================] - 0s 997us/step - loss: 0.6008 Epoch 54/150 13/13 [==============================] - 0s 844us/step - loss: 0.5998 Epoch 55/150 13/13 [==============================] - 0s 844us/step - loss: 0.5992 Epoch 56/150 13/13 [==============================] - 0s 921us/step - loss: 0.5979 Epoch 57/150 13/13 [==============================] - 0s 844us/step - loss: 0.5971 Epoch 58/150 13/13 [==============================] - 0s 921us/step - loss: 0.5968 Epoch 59/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5955 Epoch 60/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5943 Epoch 61/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5943 Epoch 62/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5931 Epoch 63/150 13/13 [==============================] - 0s 921us/step - loss: 0.5918 Epoch 64/150 13/13 [==============================] - 0s 767us/step - loss: 0.5918 Epoch 65/150 13/13 [==============================] - 0s 844us/step - loss: 0.5906 Epoch 66/150 13/13 [==============================] - 0s 921us/step - loss: 0.5898 Epoch 67/150 13/13 [==============================] - 0s 844us/step - loss: 0.5888 Epoch 68/150 13/13 [==============================] - 0s 844us/step - loss: 0.5892 Epoch 69/150 13/13 [==============================] - 0s 921us/step - loss: 0.5880 Epoch 70/150 13/13 [==============================] - 0s 921us/step - loss: 0.5866 Epoch 71/150 13/13 [==============================] - 0s 844us/step - loss: 0.5862 Epoch 72/150 13/13 [==============================] - 0s 921us/step - loss: 0.5847 Epoch 73/150 13/13 [==============================] - 0s 921us/step - loss: 0.5846 Epoch 74/150 13/13 [==============================] - 0s 844us/step - loss: 0.5840 Epoch 75/150 13/13 [==============================] - 0s 844us/step - loss: 0.5838 Epoch 76/150 13/13 [==============================] - 0s 844us/step - loss: 0.5824 Epoch 77/150 13/13 [==============================] - 0s 921us/step - loss: 0.5824 Epoch 78/150 13/13 [==============================] - 0s 997us/step - loss: 0.5811 Epoch 79/150 13/13 [==============================] - 0s 844us/step - loss: 0.5798 Epoch 80/150 13/13 [==============================] - 0s 844us/step - loss: 0.5807 Epoch 81/150 13/13 [==============================] - 0s 844us/step - loss: 0.5781 Epoch 82/150 13/13 [==============================] - 0s 997us/step - loss: 0.5792 Epoch 83/150 13/13 [==============================] - 0s 921us/step - loss: 0.5775 Epoch 84/150 13/13 [==============================] - 0s 921us/step - loss: 0.5780 Epoch 85/150 13/13 [==============================] - 0s 921us/step - loss: 0.5765 Epoch 86/150 13/13 [==============================] - 0s 921us/step - loss: 0.5757 Epoch 87/150 13/13 [==============================] - 0s 844us/step - loss: 0.5768 Epoch 88/150 13/13 [==============================] - 0s 844us/step - loss: 0.5747 Epoch 89/150 13/13 [==============================] - 0s 844us/step - loss: 0.5745 Epoch 90/150 13/13 [==============================] - 0s 921us/step - loss: 0.5738 Epoch 91/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5740 Epoch 92/150 13/13 [==============================] - 0s 998us/step - loss: 0.5728 Epoch 93/150 13/13 [==============================] - 0s 997us/step - loss: 0.5733 Epoch 94/150 13/13 [==============================] - 0s 921us/step - loss: 0.5725 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5713 Epoch 96/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5716 Epoch 97/150 13/13 [==============================] - 0s 997us/step - loss: 0.5710 Epoch 98/150 13/13 [==============================] - 0s 997us/step - loss: 0.5696 Epoch 99/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5703 Epoch 100/150 13/13 [==============================] - 0s 997us/step - loss: 0.5692 Epoch 101/150 13/13 [==============================] - 0s 997us/step - loss: 0.5694 Epoch 102/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5686 Epoch 103/150 13/13 [==============================] - 0s 997us/step - loss: 0.5684 Epoch 104/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5679 Epoch 105/150 13/13 [==============================] - 0s 997us/step - loss: 0.5679 Epoch 106/150 13/13 [==============================] - 0s 997us/step - loss: 0.5678 Epoch 107/150 13/13 [==============================] - 0s 997us/step - loss: 0.5680 Epoch 108/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5660 Epoch 109/150 13/13 [==============================] - 0s 997us/step - loss: 0.5663 Epoch 110/150 13/13 [==============================] - 0s 921us/step - loss: 0.5654 Epoch 111/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5661 Epoch 112/150 13/13 [==============================] - 0s 921us/step - loss: 0.5649 Epoch 113/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5647 Epoch 114/150 13/13 [==============================] - 0s 921us/step - loss: 0.5647 Epoch 115/150 13/13 [==============================] - 0s 997us/step - loss: 0.5649 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.5639 Epoch 117/150 13/13 [==============================] - 0s 997us/step - loss: 0.5639 Epoch 118/150 13/13 [==============================] - 0s 997us/step - loss: 0.5634 Epoch 119/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5637 Epoch 120/150 13/13 [==============================] - 0s 997us/step - loss: 0.5631 Epoch 121/150 13/13 [==============================] - 0s 920us/step - loss: 0.5636 Epoch 122/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5622 Epoch 123/150 13/13 [==============================] - 0s 997us/step - loss: 0.5625 Epoch 124/150 13/13 [==============================] - 0s 997us/step - loss: 0.5618 Epoch 125/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5628 Epoch 126/150 13/13 [==============================] - 0s 997us/step - loss: 0.5608 Epoch 127/150 13/13 [==============================] - 0s 921us/step - loss: 0.5610 Epoch 128/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5614 Epoch 129/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5608 Epoch 130/150 13/13 [==============================] - 0s 997us/step - loss: 0.5602 Epoch 131/150 13/13 [==============================] - 0s 997us/step - loss: 0.5605 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5604 Epoch 133/150 13/13 [==============================] - 0s 997us/step - loss: 0.5586 Epoch 134/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5601 Epoch 135/150 13/13 [==============================] - 0s 997us/step - loss: 0.5603 Epoch 136/150 13/13 [==============================] - 0s 844us/step - loss: 0.5600 Epoch 137/150 13/13 [==============================] - 0s 997us/step - loss: 0.5590 Epoch 138/150 13/13 [==============================] - 0s 997us/step - loss: 0.5590 Epoch 139/150 13/13 [==============================] - 0s 997us/step - loss: 0.5582 Epoch 140/150 13/13 [==============================] - 0s 921us/step - loss: 0.5588 Epoch 141/150 13/13 [==============================] - 0s 921us/step - loss: 0.5581 Epoch 142/150 13/13 [==============================] - 0s 997us/step - loss: 0.5574 Epoch 143/150 13/13 [==============================] - 0s 921us/step - loss: 0.5572 Epoch 144/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5567 Epoch 145/150 13/13 [==============================] - 0s 921us/step - loss: 0.5579 Epoch 146/150 13/13 [==============================] - 0s 921us/step - loss: 0.5562 Epoch 147/150 13/13 [==============================] - 0s 921us/step - loss: 0.5568 Epoch 148/150 13/13 [==============================] - 0s 997us/step - loss: 0.5558 Epoch 149/150 13/13 [==============================] - 0s 997us/step - loss: 0.5570 Epoch 150/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5562 ###################################################################### Accuracy: 73.37230868780092 Epoch 1/150 13/13 [==============================] - 0s 997us/step - loss: 0.9753 Epoch 2/150 13/13 [==============================] - 0s 921us/step - loss: 0.9689 Epoch 3/150 13/13 [==============================] - 0s 921us/step - loss: 0.9568 Epoch 4/150 13/13 [==============================] - 0s 997us/step - loss: 0.9390 Epoch 5/150 13/13 [==============================] - 0s 997us/step - loss: 0.9166 Epoch 6/150 13/13 [==============================] - 0s 921us/step - loss: 0.8898 Epoch 7/150 13/13 [==============================] - 0s 921us/step - loss: 0.8601 Epoch 8/150 13/13 [==============================] - 0s 844us/step - loss: 0.8280 Epoch 9/150 13/13 [==============================] - 0s 921us/step - loss: 0.7938 Epoch 10/150 13/13 [==============================] - 0s 921us/step - loss: 0.7599 Epoch 11/150 13/13 [==============================] - 0s 1ms/step - loss: 0.7290 Epoch 12/150 13/13 [==============================] - 0s 921us/step - loss: 0.7011 Epoch 13/150 13/13 [==============================] - 0s 767us/step - loss: 0.6780 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.6584 Epoch 15/150 13/13 [==============================] - 0s 921us/step - loss: 0.6444 Epoch 16/150 13/13 [==============================] - 0s 921us/step - loss: 0.6367 Epoch 17/150 13/13 [==============================] - 0s 844us/step - loss: 0.6310 Epoch 18/150 13/13 [==============================] - 0s 767us/step - loss: 0.6279 Epoch 19/150 13/13 [==============================] - 0s 921us/step - loss: 0.6245 Epoch 20/150 13/13 [==============================] - 0s 920us/step - loss: 0.6222 Epoch 21/150 13/13 [==============================] - 0s 921us/step - loss: 0.6203 Epoch 22/150 13/13 [==============================] - 0s 997us/step - loss: 0.6180 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.6172 Epoch 24/150 13/13 [==============================] - 0s 997us/step - loss: 0.6151 Epoch 25/150 13/13 [==============================] - 0s 843us/step - loss: 0.6137 Epoch 26/150 13/13 [==============================] - 0s 921us/step - loss: 0.6129 Epoch 27/150 13/13 [==============================] - 0s 767us/step - loss: 0.6115 Epoch 28/150 13/13 [==============================] - 0s 921us/step - loss: 0.6101 Epoch 29/150 13/13 [==============================] - 0s 844us/step - loss: 0.6079 Epoch 30/150 13/13 [==============================] - 0s 921us/step - loss: 0.6073 Epoch 31/150 13/13 [==============================] - 0s 921us/step - loss: 0.6054 Epoch 32/150 13/13 [==============================] - 0s 921us/step - loss: 0.6044 Epoch 33/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6028 Epoch 34/150 13/13 [==============================] - 0s 921us/step - loss: 0.6016 Epoch 35/150 13/13 [==============================] - 0s 921us/step - loss: 0.6008 Epoch 36/150 13/13 [==============================] - 0s 997us/step - loss: 0.5992 Epoch 37/150 13/13 [==============================] - 0s 844us/step - loss: 0.5976 Epoch 38/150 13/13 [==============================] - 0s 997us/step - loss: 0.5961 Epoch 39/150 13/13 [==============================] - 0s 844us/step - loss: 0.5958 Epoch 40/150 13/13 [==============================] - 0s 844us/step - loss: 0.5938 Epoch 41/150 13/13 [==============================] - 0s 921us/step - loss: 0.5935 Epoch 42/150 13/13 [==============================] - 0s 844us/step - loss: 0.5919 Epoch 43/150 13/13 [==============================] - 0s 997us/step - loss: 0.5915 Epoch 44/150 13/13 [==============================] - 0s 844us/step - loss: 0.5898 Epoch 45/150 13/13 [==============================] - 0s 844us/step - loss: 0.5888 Epoch 46/150 13/13 [==============================] - 0s 921us/step - loss: 0.5874 Epoch 47/150 13/13 [==============================] - 0s 844us/step - loss: 0.5867 Epoch 48/150 13/13 [==============================] - 0s 921us/step - loss: 0.5861 Epoch 49/150 13/13 [==============================] - 0s 844us/step - loss: 0.5848 Epoch 50/150 13/13 [==============================] - 0s 921us/step - loss: 0.5838 Epoch 51/150 13/13 [==============================] - 0s 921us/step - loss: 0.5829 Epoch 52/150 13/13 [==============================] - 0s 997us/step - loss: 0.5822 Epoch 53/150 13/13 [==============================] - 0s 998us/step - loss: 0.5811 Epoch 54/150 13/13 [==============================] - 0s 844us/step - loss: 0.5796 Epoch 55/150 13/13 [==============================] - 0s 921us/step - loss: 0.5792 Epoch 56/150 13/13 [==============================] - 0s 767us/step - loss: 0.5788 Epoch 57/150 13/13 [==============================] - 0s 920us/step - loss: 0.5773 Epoch 58/150 13/13 [==============================] - 0s 844us/step - loss: 0.5767 Epoch 59/150 13/13 [==============================] - 0s 844us/step - loss: 0.5757 Epoch 60/150 13/13 [==============================] - 0s 997us/step - loss: 0.5748 Epoch 61/150 13/13 [==============================] - 0s 844us/step - loss: 0.5740 Epoch 62/150 13/13 [==============================] - 0s 767us/step - loss: 0.5735 Epoch 63/150 13/13 [==============================] - 0s 997us/step - loss: 0.5727 Epoch 64/150 13/13 [==============================] - 0s 844us/step - loss: 0.5724 Epoch 65/150 13/13 [==============================] - 0s 844us/step - loss: 0.5714 Epoch 66/150 13/13 [==============================] - 0s 921us/step - loss: 0.5710 Epoch 67/150 13/13 [==============================] - 0s 921us/step - loss: 0.5703 Epoch 68/150 13/13 [==============================] - 0s 844us/step - loss: 0.5693 Epoch 69/150 13/13 [==============================] - 0s 844us/step - loss: 0.5697 Epoch 70/150 13/13 [==============================] - 0s 997us/step - loss: 0.5679 Epoch 71/150 13/13 [==============================] - 0s 844us/step - loss: 0.5676 Epoch 72/150 13/13 [==============================] - 0s 921us/step - loss: 0.5669 Epoch 73/150 13/13 [==============================] - 0s 921us/step - loss: 0.5668 Epoch 74/150 13/13 [==============================] - 0s 997us/step - loss: 0.5662 Epoch 75/150 13/13 [==============================] - 0s 997us/step - loss: 0.5657 Epoch 76/150 13/13 [==============================] - 0s 921us/step - loss: 0.5652 Epoch 77/150 13/13 [==============================] - 0s 997us/step - loss: 0.5656 Epoch 78/150 13/13 [==============================] - 0s 844us/step - loss: 0.5639 Epoch 79/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5648 Epoch 80/150 13/13 [==============================] - 0s 921us/step - loss: 0.5635 Epoch 81/150 13/13 [==============================] - 0s 767us/step - loss: 0.5629 Epoch 82/150 13/13 [==============================] - 0s 997us/step - loss: 0.5634 Epoch 83/150 13/13 [==============================] - 0s 844us/step - loss: 0.5618 Epoch 84/150 13/13 [==============================] - 0s 921us/step - loss: 0.5618 Epoch 85/150 13/13 [==============================] - 0s 921us/step - loss: 0.5613 Epoch 86/150 13/13 [==============================] - 0s 921us/step - loss: 0.5609 Epoch 87/150 13/13 [==============================] - 0s 997us/step - loss: 0.5608 Epoch 88/150 13/13 [==============================] - 0s 921us/step - loss: 0.5605 Epoch 89/150 13/13 [==============================] - 0s 921us/step - loss: 0.5601 Epoch 90/150 13/13 [==============================] - 0s 844us/step - loss: 0.5594 Epoch 91/150 13/13 [==============================] - 0s 921us/step - loss: 0.5593 Epoch 92/150 13/13 [==============================] - 0s 921us/step - loss: 0.5585 Epoch 93/150 13/13 [==============================] - 0s 844us/step - loss: 0.5590 Epoch 94/150 13/13 [==============================] - 0s 844us/step - loss: 0.5589 Epoch 95/150 13/13 [==============================] - 0s 997us/step - loss: 0.5590 Epoch 96/150 13/13 [==============================] - 0s 997us/step - loss: 0.5573 Epoch 97/150 13/13 [==============================] - 0s 767us/step - loss: 0.5571 Epoch 98/150 13/13 [==============================] - 0s 844us/step - loss: 0.5575 Epoch 99/150 13/13 [==============================] - ETA: 0s - loss: 0.607 - 0s 920us/step - loss: 0.5571 Epoch 100/150 13/13 [==============================] - 0s 844us/step - loss: 0.5560 Epoch 101/150 13/13 [==============================] - 0s 921us/step - loss: 0.5567 Epoch 102/150 13/13 [==============================] - 0s 921us/step - loss: 0.5564 Epoch 103/150 13/13 [==============================] - 0s 844us/step - loss: 0.5554 Epoch 104/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5561 Epoch 105/150 13/13 [==============================] - 0s 921us/step - loss: 0.5551 Epoch 106/150 13/13 [==============================] - ETA: 0s - loss: 0.602 - 0s 921us/step - loss: 0.5552 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.5559 Epoch 108/150 13/13 [==============================] - 0s 844us/step - loss: 0.5545 Epoch 109/150 13/13 [==============================] - 0s 997us/step - loss: 0.5546 Epoch 110/150 13/13 [==============================] - 0s 921us/step - loss: 0.5542 Epoch 111/150 13/13 [==============================] - 0s 844us/step - loss: 0.5544 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.5539 Epoch 113/150 13/13 [==============================] - 0s 844us/step - loss: 0.5541 Epoch 114/150 13/13 [==============================] - 0s 844us/step - loss: 0.5538 Epoch 115/150 13/13 [==============================] - 0s 997us/step - loss: 0.5537 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.5532 Epoch 117/150 13/13 [==============================] - 0s 921us/step - loss: 0.5525 Epoch 118/150 13/13 [==============================] - 0s 997us/step - loss: 0.5534 Epoch 119/150 13/13 [==============================] - 0s 767us/step - loss: 0.5528 Epoch 120/150 13/13 [==============================] - 0s 921us/step - loss: 0.5528 Epoch 121/150 13/13 [==============================] - 0s 921us/step - loss: 0.5525 Epoch 122/150 13/13 [==============================] - 0s 921us/step - loss: 0.5530 Epoch 123/150 13/13 [==============================] - 0s 921us/step - loss: 0.5523 Epoch 124/150 13/13 [==============================] - 0s 921us/step - loss: 0.5519 Epoch 125/150 13/13 [==============================] - 0s 997us/step - loss: 0.5515 Epoch 126/150 13/13 [==============================] - 0s 997us/step - loss: 0.5519 Epoch 127/150 13/13 [==============================] - 0s 844us/step - loss: 0.5515 Epoch 128/150 13/13 [==============================] - 0s 997us/step - loss: 0.5513 Epoch 129/150 13/13 [==============================] - 0s 844us/step - loss: 0.5522 Epoch 130/150 13/13 [==============================] - 0s 844us/step - loss: 0.5515 Epoch 131/150 13/13 [==============================] - 0s 921us/step - loss: 0.5520 Epoch 132/150 13/13 [==============================] - 0s 844us/step - loss: 0.5512 Epoch 133/150 13/13 [==============================] - 0s 844us/step - loss: 0.5505 Epoch 134/150 13/13 [==============================] - 0s 997us/step - loss: 0.5504 Epoch 135/150 13/13 [==============================] - 0s 921us/step - loss: 0.5500 Epoch 136/150 13/13 [==============================] - 0s 844us/step - loss: 0.5498 Epoch 137/150 13/13 [==============================] - 0s 921us/step - loss: 0.5511 Epoch 138/150 13/13 [==============================] - 0s 997us/step - loss: 0.5503 Epoch 139/150 13/13 [==============================] - 0s 844us/step - loss: 0.5498 Epoch 140/150 13/13 [==============================] - 0s 997us/step - loss: 0.5500 Epoch 141/150 13/13 [==============================] - 0s 920us/step - loss: 0.5499 Epoch 142/150 13/13 [==============================] - 0s 844us/step - loss: 0.5499 Epoch 143/150 13/13 [==============================] - 0s 997us/step - loss: 0.5492 Epoch 144/150 13/13 [==============================] - 0s 921us/step - loss: 0.5493 Epoch 145/150 13/13 [==============================] - 0s 844us/step - loss: 0.5494 Epoch 146/150 13/13 [==============================] - 0s 997us/step - loss: 0.5493 Epoch 147/150 13/13 [==============================] - 0s 844us/step - loss: 0.5495 Epoch 148/150 13/13 [==============================] - 0s 921us/step - loss: 0.5490 Epoch 149/150 13/13 [==============================] - 0s 997us/step - loss: 0.5486 Epoch 150/150 13/13 [==============================] - 0s 844us/step - loss: 0.5488 ###################################################################### Accuracy: 88.14446054400133 Epoch 1/150 1/13 [=>............................] - ETA: 0s - loss: 0.9325WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks. 13/13 [==============================] - 0s 1ms/step - loss: 1.0160 Epoch 2/150 13/13 [==============================] - 0s 921us/step - loss: 1.0103 Epoch 3/150 13/13 [==============================] - 0s 921us/step - loss: 1.0013 Epoch 4/150 13/13 [==============================] - 0s 997us/step - loss: 0.9881 Epoch 5/150 13/13 [==============================] - 0s 1ms/step - loss: 0.9724 Epoch 6/150 13/13 [==============================] - 0s 921us/step - loss: 0.9544 Epoch 7/150 13/13 [==============================] - 0s 844us/step - loss: 0.9337 Epoch 8/150 13/13 [==============================] - 0s 921us/step - loss: 0.9135 Epoch 9/150 13/13 [==============================] - 0s 997us/step - loss: 0.8941 Epoch 10/150 13/13 [==============================] - 0s 844us/step - loss: 0.8767 Epoch 11/150 13/13 [==============================] - 0s 997us/step - loss: 0.8618 Epoch 12/150 13/13 [==============================] - 0s 844us/step - loss: 0.8500 Epoch 13/150 13/13 [==============================] - 0s 921us/step - loss: 0.8409 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.8332 Epoch 15/150 13/13 [==============================] - 0s 844us/step - loss: 0.8261 Epoch 16/150 13/13 [==============================] - 0s 921us/step - loss: 0.8202 Epoch 17/150 13/13 [==============================] - 0s 921us/step - loss: 0.8140 Epoch 18/150 13/13 [==============================] - 0s 921us/step - loss: 0.8082 Epoch 19/150 13/13 [==============================] - 0s 921us/step - loss: 0.8029 Epoch 20/150 13/13 [==============================] - 0s 921us/step - loss: 0.7977 Epoch 21/150 13/13 [==============================] - 0s 921us/step - loss: 0.7924 Epoch 22/150 13/13 [==============================] - 0s 921us/step - loss: 0.7869 Epoch 23/150 13/13 [==============================] - 0s 997us/step - loss: 0.7818 Epoch 24/150 13/13 [==============================] - 0s 920us/step - loss: 0.7769 Epoch 25/150 13/13 [==============================] - 0s 844us/step - loss: 0.7716 Epoch 26/150 13/13 [==============================] - 0s 844us/step - loss: 0.7669 Epoch 27/150 13/13 [==============================] - 0s 844us/step - loss: 0.7618 Epoch 28/150 13/13 [==============================] - 0s 921us/step - loss: 0.7570 Epoch 29/150 13/13 [==============================] - 0s 844us/step - loss: 0.7533 Epoch 30/150 13/13 [==============================] - 0s 921us/step - loss: 0.7492 Epoch 31/150 13/13 [==============================] - 0s 844us/step - loss: 0.7445 Epoch 32/150 13/13 [==============================] - 0s 844us/step - loss: 0.7404 Epoch 33/150 13/13 [==============================] - 0s 921us/step - loss: 0.7368 Epoch 34/150 13/13 [==============================] - 0s 844us/step - loss: 0.7324 Epoch 35/150 13/13 [==============================] - 0s 921us/step - loss: 0.7293 Epoch 36/150 13/13 [==============================] - 0s 767us/step - loss: 0.7249 Epoch 37/150 13/13 [==============================] - 0s 921us/step - loss: 0.7215 Epoch 38/150 13/13 [==============================] - 0s 844us/step - loss: 0.7179 Epoch 39/150 13/13 [==============================] - 0s 844us/step - loss: 0.7138 Epoch 40/150 13/13 [==============================] - 0s 921us/step - loss: 0.7106 Epoch 41/150 13/13 [==============================] - 0s 921us/step - loss: 0.7067 Epoch 42/150 13/13 [==============================] - 0s 997us/step - loss: 0.7040 Epoch 43/150 13/13 [==============================] - 0s 921us/step - loss: 0.6995 Epoch 44/150 13/13 [==============================] - 0s 844us/step - loss: 0.6971 Epoch 45/150 13/13 [==============================] - 0s 920us/step - loss: 0.6930 Epoch 46/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6907 Epoch 47/150 13/13 [==============================] - 0s 844us/step - loss: 0.6875 Epoch 48/150 13/13 [==============================] - 0s 920us/step - loss: 0.6847 Epoch 49/150 13/13 [==============================] - 0s 844us/step - loss: 0.6817 Epoch 50/150 13/13 [==============================] - 0s 920us/step - loss: 0.6789 Epoch 51/150 13/13 [==============================] - 0s 844us/step - loss: 0.6767 Epoch 52/150 13/13 [==============================] - 0s 921us/step - loss: 0.6740 Epoch 53/150 13/13 [==============================] - 0s 921us/step - loss: 0.6717 Epoch 54/150 13/13 [==============================] - 0s 921us/step - loss: 0.6692 Epoch 55/150 13/13 [==============================] - 0s 921us/step - loss: 0.6676 Epoch 56/150 13/13 [==============================] - 0s 844us/step - loss: 0.6646 Epoch 57/150 13/13 [==============================] - 0s 921us/step - loss: 0.6627 Epoch 58/150 13/13 [==============================] - 0s 921us/step - loss: 0.6604 Epoch 59/150 13/13 [==============================] - 0s 921us/step - loss: 0.6594 Epoch 60/150 13/13 [==============================] - 0s 767us/step - loss: 0.6566 Epoch 61/150 13/13 [==============================] - 0s 844us/step - loss: 0.6556 Epoch 62/150 13/13 [==============================] - 0s 844us/step - loss: 0.6546 Epoch 63/150 13/13 [==============================] - 0s 844us/step - loss: 0.6517 Epoch 64/150 13/13 [==============================] - 0s 844us/step - loss: 0.6504 Epoch 65/150 13/13 [==============================] - 0s 921us/step - loss: 0.6485 Epoch 66/150 13/13 [==============================] - 0s 921us/step - loss: 0.6475 Epoch 67/150 13/13 [==============================] - 0s 844us/step - loss: 0.6460 Epoch 68/150 13/13 [==============================] - 0s 921us/step - loss: 0.6434 Epoch 69/150 13/13 [==============================] - 0s 921us/step - loss: 0.6427 Epoch 70/150 13/13 [==============================] - 0s 921us/step - loss: 0.6411 Epoch 71/150 13/13 [==============================] - 0s 997us/step - loss: 0.6399 Epoch 72/150 13/13 [==============================] - 0s 844us/step - loss: 0.6386 Epoch 73/150 13/13 [==============================] - 0s 1ms/step - loss: 0.6388 Epoch 74/150 13/13 [==============================] - 0s 844us/step - loss: 0.6360 Epoch 75/150 13/13 [==============================] - 0s 844us/step - loss: 0.6352 Epoch 76/150 13/13 [==============================] - 0s 844us/step - loss: 0.6348 Epoch 77/150 13/13 [==============================] - 0s 767us/step - loss: 0.6339 Epoch 78/150 13/13 [==============================] - 0s 921us/step - loss: 0.6322 Epoch 79/150 13/13 [==============================] - 0s 921us/step - loss: 0.6326 Epoch 80/150 13/13 [==============================] - 0s 844us/step - loss: 0.6307 Epoch 81/150 13/13 [==============================] - 0s 920us/step - loss: 0.6297 Epoch 82/150 13/13 [==============================] - 0s 921us/step - loss: 0.6301 Epoch 83/150 13/13 [==============================] - 0s 921us/step - loss: 0.6289 Epoch 84/150 13/13 [==============================] - 0s 997us/step - loss: 0.6268 Epoch 85/150 13/13 [==============================] - 0s 921us/step - loss: 0.6269 Epoch 86/150 13/13 [==============================] - 0s 844us/step - loss: 0.6259 Epoch 87/150 13/13 [==============================] - 0s 767us/step - loss: 0.6263 Epoch 88/150 13/13 [==============================] - 0s 921us/step - loss: 0.6252 Epoch 89/150 13/13 [==============================] - 0s 844us/step - loss: 0.6242 Epoch 90/150 13/13 [==============================] - 0s 921us/step - loss: 0.6240 Epoch 91/150 13/13 [==============================] - 0s 844us/step - loss: 0.6226 Epoch 92/150 13/13 [==============================] - 0s 844us/step - loss: 0.6221 Epoch 93/150 13/13 [==============================] - 0s 997us/step - loss: 0.6219 Epoch 94/150 13/13 [==============================] - 0s 844us/step - loss: 0.6217 Epoch 95/150 13/13 [==============================] - 0s 921us/step - loss: 0.6197 Epoch 96/150 13/13 [==============================] - 0s 921us/step - loss: 0.6197 Epoch 97/150 13/13 [==============================] - 0s 997us/step - loss: 0.6183 Epoch 98/150 13/13 [==============================] - 0s 921us/step - loss: 0.6185 Epoch 99/150 13/13 [==============================] - 0s 844us/step - loss: 0.6178 Epoch 100/150 13/13 [==============================] - 0s 997us/step - loss: 0.6179 Epoch 101/150 13/13 [==============================] - 0s 921us/step - loss: 0.6166 Epoch 102/150 13/13 [==============================] - 0s 844us/step - loss: 0.6160 Epoch 103/150 13/13 [==============================] - 0s 997us/step - loss: 0.6152 Epoch 104/150 13/13 [==============================] - 0s 844us/step - loss: 0.6151 Epoch 105/150 13/13 [==============================] - 0s 844us/step - loss: 0.6142 Epoch 106/150 13/13 [==============================] - 0s 997us/step - loss: 0.6144 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.6138 Epoch 108/150 13/13 [==============================] - 0s 997us/step - loss: 0.6128 Epoch 109/150 13/13 [==============================] - 0s 921us/step - loss: 0.6131 Epoch 110/150 13/13 [==============================] - 0s 844us/step - loss: 0.6120 Epoch 111/150 13/13 [==============================] - 0s 997us/step - loss: 0.6115 Epoch 112/150 13/13 [==============================] - 0s 997us/step - loss: 0.6111 Epoch 113/150 13/13 [==============================] - 0s 921us/step - loss: 0.6103 Epoch 114/150 13/13 [==============================] - 0s 921us/step - loss: 0.6107 Epoch 115/150 13/13 [==============================] - 0s 921us/step - loss: 0.6101 Epoch 116/150 13/13 [==============================] - 0s 921us/step - loss: 0.6095 Epoch 117/150 13/13 [==============================] - 0s 844us/step - loss: 0.6092 Epoch 118/150 13/13 [==============================] - 0s 997us/step - loss: 0.6082 Epoch 119/150 13/13 [==============================] - 0s 921us/step - loss: 0.6079 Epoch 120/150 13/13 [==============================] - 0s 844us/step - loss: 0.6081 Epoch 121/150 13/13 [==============================] - 0s 997us/step - loss: 0.6075 Epoch 122/150 13/13 [==============================] - 0s 921us/step - loss: 0.6068 Epoch 123/150 13/13 [==============================] - 0s 844us/step - loss: 0.6067 Epoch 124/150 13/13 [==============================] - 0s 920us/step - loss: 0.6068 Epoch 125/150 13/13 [==============================] - 0s 997us/step - loss: 0.6064 Epoch 126/150 13/13 [==============================] - 0s 921us/step - loss: 0.6054 Epoch 127/150 13/13 [==============================] - 0s 844us/step - loss: 0.6063 Epoch 128/150 13/13 [==============================] - 0s 921us/step - loss: 0.6050 Epoch 129/150 13/13 [==============================] - 0s 997us/step - loss: 0.6044 Epoch 130/150 13/13 [==============================] - 0s 767us/step - loss: 0.6040 Epoch 131/150 13/13 [==============================] - 0s 844us/step - loss: 0.6040 Epoch 132/150 13/13 [==============================] - 0s 844us/step - loss: 0.6032 Epoch 133/150 13/13 [==============================] - 0s 844us/step - loss: 0.6025 Epoch 134/150 13/13 [==============================] - 0s 844us/step - loss: 0.6034 Epoch 135/150 13/13 [==============================] - 0s 844us/step - loss: 0.6025 Epoch 136/150 13/13 [==============================] - 0s 921us/step - loss: 0.6021 Epoch 137/150 13/13 [==============================] - 0s 844us/step - loss: 0.6012 Epoch 138/150 13/13 [==============================] - 0s 921us/step - loss: 0.6012 Epoch 139/150 13/13 [==============================] - 0s 997us/step - loss: 0.6013 Epoch 140/150 13/13 [==============================] - 0s 844us/step - loss: 0.6002 Epoch 141/150 13/13 [==============================] - 0s 921us/step - loss: 0.5986 Epoch 142/150 13/13 [==============================] - 0s 921us/step - loss: 0.5997 Epoch 143/150 13/13 [==============================] - 0s 844us/step - loss: 0.5990 Epoch 144/150 13/13 [==============================] - 0s 920us/step - loss: 0.5991 Epoch 145/150 13/13 [==============================] - 0s 844us/step - loss: 0.5986 Epoch 146/150 13/13 [==============================] - 0s 844us/step - loss: 0.5977 Epoch 147/150 13/13 [==============================] - 0s 921us/step - loss: 0.5979 Epoch 148/150 13/13 [==============================] - 0s 844us/step - loss: 0.5979 Epoch 149/150 13/13 [==============================] - 0s 844us/step - loss: 0.5966 Epoch 150/150 13/13 [==============================] - 0s 767us/step - loss: 0.5964 ###################################################################### Accuracy: 75.99680507371659 Epoch 1/150 13/13 [==============================] - 0s 921us/step - loss: 1.0005 Epoch 2/150 13/13 [==============================] - 0s 921us/step - loss: 0.9952 Epoch 3/150 13/13 [==============================] - 0s 921us/step - loss: 0.9872 Epoch 4/150 13/13 [==============================] - 0s 920us/step - loss: 0.9757 Epoch 5/150 13/13 [==============================] - 0s 921us/step - loss: 0.9603 Epoch 6/150 13/13 [==============================] - 0s 921us/step - loss: 0.9410 Epoch 7/150 13/13 [==============================] - 0s 844us/step - loss: 0.9190 Epoch 8/150 13/13 [==============================] - 0s 997us/step - loss: 0.8941 Epoch 9/150 13/13 [==============================] - 0s 844us/step - loss: 0.8650 Epoch 10/150 13/13 [==============================] - 0s 997us/step - loss: 0.8334 Epoch 11/150 13/13 [==============================] - 0s 844us/step - loss: 0.8008 Epoch 12/150 13/13 [==============================] - 0s 844us/step - loss: 0.7687 Epoch 13/150 13/13 [==============================] - 0s 921us/step - loss: 0.7396 Epoch 14/150 13/13 [==============================] - 0s 921us/step - loss: 0.7138 Epoch 15/150 13/13 [==============================] - 0s 844us/step - loss: 0.6912 Epoch 16/150 13/13 [==============================] - 0s 997us/step - loss: 0.6736 Epoch 17/150 13/13 [==============================] - 0s 998us/step - loss: 0.6603 Epoch 18/150 13/13 [==============================] - 0s 997us/step - loss: 0.6521 Epoch 19/150 13/13 [==============================] - 0s 921us/step - loss: 0.6462 Epoch 20/150 13/13 [==============================] - 0s 767us/step - loss: 0.6426 Epoch 21/150 13/13 [==============================] - 0s 921us/step - loss: 0.6398 Epoch 22/150 13/13 [==============================] - 0s 844us/step - loss: 0.6383 Epoch 23/150 13/13 [==============================] - 0s 767us/step - loss: 0.6361 Epoch 24/150 13/13 [==============================] - 0s 921us/step - loss: 0.6344 Epoch 25/150 13/13 [==============================] - 0s 844us/step - loss: 0.6325 Epoch 26/150 13/13 [==============================] - 0s 844us/step - loss: 0.6315 Epoch 27/150 13/13 [==============================] - 0s 921us/step - loss: 0.6296 Epoch 28/150 13/13 [==============================] - 0s 997us/step - loss: 0.6278 Epoch 29/150 13/13 [==============================] - 0s 997us/step - loss: 0.6263 Epoch 30/150 13/13 [==============================] - 0s 921us/step - loss: 0.6253 Epoch 31/150 13/13 [==============================] - 0s 921us/step - loss: 0.6237 Epoch 32/150 13/13 [==============================] - 0s 921us/step - loss: 0.6225 Epoch 33/150 13/13 [==============================] - 0s 921us/step - loss: 0.6208 Epoch 34/150 13/13 [==============================] - 0s 844us/step - loss: 0.6202 Epoch 35/150 13/13 [==============================] - 0s 921us/step - loss: 0.6182 Epoch 36/150 13/13 [==============================] - 0s 844us/step - loss: 0.6173 Epoch 37/150 13/13 [==============================] - 0s 921us/step - loss: 0.6156 Epoch 38/150 13/13 [==============================] - 0s 921us/step - loss: 0.6149 Epoch 39/150 13/13 [==============================] - 0s 920us/step - loss: 0.6134 Epoch 40/150 13/13 [==============================] - 0s 844us/step - loss: 0.6125 Epoch 41/150 13/13 [==============================] - 0s 844us/step - loss: 0.6114 Epoch 42/150 13/13 [==============================] - 0s 844us/step - loss: 0.6103 Epoch 43/150 13/13 [==============================] - 0s 921us/step - loss: 0.6092 Epoch 44/150 13/13 [==============================] - 0s 921us/step - loss: 0.6082 Epoch 45/150 13/13 [==============================] - 0s 844us/step - loss: 0.6074 Epoch 46/150 13/13 [==============================] - 0s 921us/step - loss: 0.6062 Epoch 47/150 13/13 [==============================] - 0s 921us/step - loss: 0.6055 Epoch 48/150 13/13 [==============================] - 0s 921us/step - loss: 0.6042 Epoch 49/150 13/13 [==============================] - 0s 844us/step - loss: 0.6032 Epoch 50/150 13/13 [==============================] - 0s 921us/step - loss: 0.6028 Epoch 51/150 13/13 [==============================] - 0s 920us/step - loss: 0.6013 Epoch 52/150 13/13 [==============================] - 0s 921us/step - loss: 0.6012 Epoch 53/150 13/13 [==============================] - 0s 921us/step - loss: 0.6005 Epoch 54/150 13/13 [==============================] - 0s 921us/step - loss: 0.5994 Epoch 55/150 13/13 [==============================] - 0s 844us/step - loss: 0.5984 Epoch 56/150 13/13 [==============================] - 0s 997us/step - loss: 0.5971 Epoch 57/150 13/13 [==============================] - 0s 921us/step - loss: 0.5968 Epoch 58/150 13/13 [==============================] - 0s 920us/step - loss: 0.5962 Epoch 59/150 13/13 [==============================] - 0s 921us/step - loss: 0.5950 Epoch 60/150 13/13 [==============================] - 0s 921us/step - loss: 0.5942 Epoch 61/150 13/13 [==============================] - 0s 844us/step - loss: 0.5931 Epoch 62/150 13/13 [==============================] - 0s 921us/step - loss: 0.5934 Epoch 63/150 13/13 [==============================] - 0s 921us/step - loss: 0.5919 Epoch 64/150 13/13 [==============================] - 0s 921us/step - loss: 0.5924 Epoch 65/150 13/13 [==============================] - 0s 844us/step - loss: 0.5907 Epoch 66/150 13/13 [==============================] - 0s 844us/step - loss: 0.5905 Epoch 67/150 13/13 [==============================] - 0s 921us/step - loss: 0.5893 Epoch 68/150 13/13 [==============================] - 0s 997us/step - loss: 0.5895 Epoch 69/150 13/13 [==============================] - 0s 997us/step - loss: 0.5882 Epoch 70/150 13/13 [==============================] - 0s 844us/step - loss: 0.5879 Epoch 71/150 13/13 [==============================] - 0s 844us/step - loss: 0.5875 Epoch 72/150 13/13 [==============================] - 0s 921us/step - loss: 0.5871 Epoch 73/150 13/13 [==============================] - 0s 844us/step - loss: 0.5866 Epoch 74/150 13/13 [==============================] - 0s 996us/step - loss: 0.5858 Epoch 75/150 13/13 [==============================] - 0s 844us/step - loss: 0.5857 Epoch 76/150 13/13 [==============================] - 0s 844us/step - loss: 0.5850 Epoch 77/150 13/13 [==============================] - 0s 921us/step - loss: 0.5842 Epoch 78/150 13/13 [==============================] - 0s 844us/step - loss: 0.5844 Epoch 79/150 13/13 [==============================] - 0s 844us/step - loss: 0.5837 Epoch 80/150 13/13 [==============================] - 0s 921us/step - loss: 0.5830 Epoch 81/150 13/13 [==============================] - 0s 921us/step - loss: 0.5828 Epoch 82/150 13/13 [==============================] - 0s 920us/step - loss: 0.5824 Epoch 83/150 13/13 [==============================] - 0s 921us/step - loss: 0.5816 Epoch 84/150 13/13 [==============================] - 0s 921us/step - loss: 0.5813 Epoch 85/150 13/13 [==============================] - 0s 844us/step - loss: 0.5806 Epoch 86/150 13/13 [==============================] - 0s 921us/step - loss: 0.5802 Epoch 87/150 13/13 [==============================] - 0s 997us/step - loss: 0.5797 Epoch 88/150 13/13 [==============================] - 0s 921us/step - loss: 0.5795 Epoch 89/150 13/13 [==============================] - 0s 844us/step - loss: 0.5793 Epoch 90/150 13/13 [==============================] - 0s 921us/step - loss: 0.5786 Epoch 91/150 13/13 [==============================] - 0s 844us/step - loss: 0.5781 Epoch 92/150 13/13 [==============================] - 0s 921us/step - loss: 0.5777 Epoch 93/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5782 Epoch 94/150 13/13 [==============================] - 0s 844us/step - loss: 0.5768 Epoch 95/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5767 Epoch 96/150 13/13 [==============================] - 0s 921us/step - loss: 0.5764 Epoch 97/150 13/13 [==============================] - 0s 844us/step - loss: 0.5763 Epoch 98/150 13/13 [==============================] - 0s 997us/step - loss: 0.5755 Epoch 99/150 13/13 [==============================] - 0s 844us/step - loss: 0.5760 Epoch 100/150 13/13 [==============================] - 0s 921us/step - loss: 0.5746 Epoch 101/150 13/13 [==============================] - 0s 998us/step - loss: 0.5746 Epoch 102/150 13/13 [==============================] - 0s 921us/step - loss: 0.5745 Epoch 103/150 13/13 [==============================] - 0s 844us/step - loss: 0.5742 Epoch 104/150 13/13 [==============================] - 0s 921us/step - loss: 0.5732 Epoch 105/150 13/13 [==============================] - 0s 844us/step - loss: 0.5732 Epoch 106/150 13/13 [==============================] - 0s 767us/step - loss: 0.5732 Epoch 107/150 13/13 [==============================] - 0s 921us/step - loss: 0.5729 Epoch 108/150 13/13 [==============================] - 0s 844us/step - loss: 0.5722 Epoch 109/150 13/13 [==============================] - 0s 997us/step - loss: 0.5719 Epoch 110/150 13/13 [==============================] - 0s 920us/step - loss: 0.5725 Epoch 111/150 13/13 [==============================] - 0s 844us/step - loss: 0.5711 Epoch 112/150 13/13 [==============================] - 0s 921us/step - loss: 0.5717 Epoch 113/150 13/13 [==============================] - 0s 844us/step - loss: 0.5707 Epoch 114/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5707 Epoch 115/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5708 Epoch 116/150 13/13 [==============================] - 0s 997us/step - loss: 0.5698 Epoch 117/150 13/13 [==============================] - 0s 997us/step - loss: 0.5701 Epoch 118/150 13/13 [==============================] - 0s 844us/step - loss: 0.5694 Epoch 119/150 13/13 [==============================] - 0s 844us/step - loss: 0.5696 Epoch 120/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5702 Epoch 121/150 13/13 [==============================] - 0s 1ms/step - loss: 0.5687 Epoch 122/150 13/13 [==============================] - 0s 844us/step - loss: 0.5687 Epoch 123/150 13/13 [==============================] - 0s 844us/step - loss: 0.5692 Epoch 124/150 13/13 [==============================] - 0s 997us/step - loss: 0.5685 Epoch 125/150 13/13 [==============================] - 0s 921us/step - loss: 0.5684 Epoch 126/150 13/13 [==============================] - 0s 921us/step - loss: 0.5681 Epoch 127/150 13/13 [==============================] - 0s 844us/step - loss: 0.5678 Epoch 128/150 13/13 [==============================] - 0s 997us/step - loss: 0.5675 Epoch 129/150 13/13 [==============================] - 0s 844us/step - loss: 0.5673 Epoch 130/150 13/13 [==============================] - 0s 921us/step - loss: 0.5671 Epoch 131/150 13/13 [==============================] - 0s 844us/step - loss: 0.5665 Epoch 132/150 13/13 [==============================] - 0s 997us/step - loss: 0.5666 Epoch 133/150 13/13 [==============================] - 0s 844us/step - loss: 0.5661 Epoch 134/150 13/13 [==============================] - 0s 844us/step - loss: 0.5666 Epoch 135/150 13/13 [==============================] - 0s 844us/step - loss: 0.5660 Epoch 136/150 13/13 [==============================] - 0s 2ms/step - loss: 0.5656 Epoch 137/150 13/13 [==============================] - 0s 921us/step - loss: 0.5655 Epoch 138/150 13/13 [==============================] - 0s 921us/step - loss: 0.5659 Epoch 139/150 13/13 [==============================] - 0s 997us/step - loss: 0.5650 Epoch 140/150 13/13 [==============================] - 0s 921us/step - loss: 0.5644 Epoch 141/150 13/13 [==============================] - 0s 920us/step - loss: 0.5652 Epoch 142/150 13/13 [==============================] - 0s 844us/step - loss: 0.5651 Epoch 143/150 13/13 [==============================] - 0s 921us/step - loss: 0.5646 Epoch 144/150 13/13 [==============================] - 0s 844us/step - loss: 0.5640 Epoch 145/150 13/13 [==============================] - 0s 997us/step - loss: 0.5643 Epoch 146/150 13/13 [==============================] - 0s 844us/step - loss: 0.5644 Epoch 147/150 13/13 [==============================] - 0s 844us/step - loss: 0.5635 Epoch 148/150 13/13 [==============================] - 0s 844us/step - loss: 0.5644 Epoch 149/150 13/13 [==============================] - 0s 844us/step - loss: 0.5640 Epoch 150/150 13/13 [==============================] - 0s 844us/step - loss: 0.5638 ###################################################################### Accuracy: 71.7601431797645 Epoch 1/10 16/16 [==============================] - 0s 873us/step - loss: 0.9993 Epoch 2/10 16/16 [==============================] - 0s 935us/step - loss: 0.9935 Epoch 3/10 16/16 [==============================] - 0s 857us/step - loss: 0.9821 Epoch 4/10 16/16 [==============================] - 0s 997us/step - loss: 0.9637 Epoch 5/10 16/16 [==============================] - 0s 935us/step - loss: 0.9385 Epoch 6/10 16/16 [==============================] - 0s 873us/step - loss: 0.9091 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.8776 Epoch 8/10 16/16 [==============================] - 0s 872us/step - loss: 0.8465 Epoch 9/10 16/16 [==============================] - 0s 873us/step - loss: 0.8173 Epoch 10/10 16/16 [==============================] - 0s 810us/step - loss: 0.7916 ########## Total Time Taken: 18 Minutes
In [107]:
grid_search.best_params_
Out[107]:
{'Optimizer_trial': 'rmsprop', 'batch_size': 60, 'epochs': 10}
In [108]:
grid_search.best_score_
Out[108]:
97.43114477629679
Generating the model for the best Grid Search Parameters¶
In [109]:
# create ANN reg_model
reg_model = Sequential()
# Defining the first layer of the reg_model
reg_model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
# Defining the Second layer of the reg_model
reg_model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
# The output neuron is a single fully connected node
# Since we will be predicting a single number
reg_model.add(Dense(1, kernel_initializer='normal'))
# Compiling the reg_model
reg_model.compile(loss='mean_squared_error', optimizer='rmsprop' )
In [110]:
# Fitting the ANN to the Training set
reg_model.fit(X_train, y_train ,batch_size = 60, epochs = 10, verbose=1)
Epoch 1/10 16/16 [==============================] - 0s 935us/step - loss: 0.9984 Epoch 2/10 16/16 [==============================] - 0s 935us/step - loss: 0.9908 Epoch 3/10 16/16 [==============================] - 0s 873us/step - loss: 0.9774 Epoch 4/10 16/16 [==============================] - 0s 997us/step - loss: 0.9579 Epoch 5/10 16/16 [==============================] - 0s 997us/step - loss: 0.9338 Epoch 6/10 16/16 [==============================] - 0s 997us/step - loss: 0.9085 Epoch 7/10 16/16 [==============================] - 0s 873us/step - loss: 0.8848 Epoch 8/10 16/16 [==============================] - 0s 748us/step - loss: 0.8621 Epoch 9/10 16/16 [==============================] - 0s 1ms/step - loss: 0.8442 Epoch 10/10 16/16 [==============================] - 0s 997us/step - loss: 0.8300
Out[110]:
<tensorflow.python.keras.callbacks.History at 0x25565d07a90>
Saving The Regression Model¶
In [111]:
model_reg.save('reg_model.h5')
from keras.models import load_model
model_reg = load_model('reg_model.h5')
Generating Predictions on the Testing Data¶
In [112]:
# Predictions on testing data
Predictions=reg_model.predict(X_test)
# Scaling the predicted Price data back to original scale
Predictions=TargetVarScalerFit.inverse_transform(Predictions)
# Scaling the y_test Price data back to original scale
y_test_orig=TargetVarScalerFit.inverse_transform(y_test)
# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)
TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData['Signal_Strength']=y_test_orig
TestingData['Predicted_Signal_Strength']=Predictions
TestingData.head()
Out[112]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | Predicted_Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.7 | 0.620 | 0.04 | 0.084 | 25.0 | 45.0 | 0.99780 | 3.34 | 0.53 | 9.5 | 5.0 | 5.208414 |
| 1 | 8.2 | 0.635 | 0.10 | 0.073 | 25.0 | 60.0 | 0.99638 | 3.29 | 0.75 | 10.9 | 6.0 | 5.630296 |
| 2 | 8.4 | 0.370 | 0.43 | 0.063 | 12.0 | 19.0 | 0.99550 | 3.17 | 0.81 | 11.2 | 7.0 | 5.690778 |
| 3 | 9.9 | 0.490 | 0.58 | 0.094 | 9.0 | 43.0 | 1.00040 | 3.29 | 0.58 | 9.0 | 5.0 | 5.267856 |
| 4 | 6.3 | 1.020 | 0.00 | 0.083 | 17.0 | 24.0 | 0.99437 | 3.59 | 0.55 | 11.2 | 4.0 | 5.248003 |
Calculating the Accuracy for the Grid Search Parameters¶
In [113]:
# Mean Absolute Percentage Error
APE=100* (abs(TestingData['Signal_Strength']-TestingData['Predicted_Signal_Strength'])/TestingData['Signal_Strength'])
TestingData['APE']=APE
print('The Accuracy of ANN model is:', 100-np.mean(APE))
TestingData.head()
The Accuracy of ANN model is: 89.33654098200198
Out[113]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength | Predicted_Signal_Strength | APE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.7 | 0.620 | 0.04 | 0.084 | 25.0 | 45.0 | 0.99780 | 3.34 | 0.53 | 9.5 | 5.0 | 5.208414 | 4.168272 |
| 1 | 8.2 | 0.635 | 0.10 | 0.073 | 25.0 | 60.0 | 0.99638 | 3.29 | 0.75 | 10.9 | 6.0 | 5.630296 | 6.161737 |
| 2 | 8.4 | 0.370 | 0.43 | 0.063 | 12.0 | 19.0 | 0.99550 | 3.17 | 0.81 | 11.2 | 7.0 | 5.690778 | 18.703168 |
| 3 | 9.9 | 0.490 | 0.58 | 0.094 | 9.0 | 43.0 | 1.00040 | 3.29 | 0.58 | 9.0 | 5.0 | 5.267856 | 5.357113 |
| 4 | 6.3 | 1.020 | 0.00 | 0.083 | 17.0 | 24.0 | 0.99437 | 3.59 | 0.55 | 11.2 | 4.0 | 5.248003 | 31.200087 |
PART II - Neural Network Classifier¶
In [242]:
signal_data = pd.read_pickle('Signal_data.pickle')
In [243]:
actual_y = signal_data['Signal_Strength'].values
In [244]:
y = pd.get_dummies(signal_data, columns=['Signal_Strength'])
In [245]:
signal_data = y[:]
In [246]:
signal_data.head()
Out[246]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Signal_Strength_3 | Signal_Strength_4 | Signal_Strength_5 | Signal_Strength_6 | Signal_Strength_7 | Signal_Strength_8 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7.4 | 0.70 | 0.00 | 0.076 | 11.0 | 34.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1 | 7.8 | 0.88 | 0.00 | 0.098 | 25.0 | 67.0 | 0.9968 | 3.20 | 0.68 | 9.8 | 0 | 0 | 1 | 0 | 0 | 0 |
| 2 | 7.8 | 0.76 | 0.04 | 0.092 | 15.0 | 54.0 | 0.9970 | 3.26 | 0.65 | 9.8 | 0 | 0 | 1 | 0 | 0 | 0 |
| 3 | 11.2 | 0.28 | 0.56 | 0.075 | 17.0 | 60.0 | 0.9980 | 3.16 | 0.58 | 9.8 | 0 | 0 | 0 | 1 | 0 | 0 |
| 5 | 7.4 | 0.66 | 0.00 | 0.075 | 13.0 | 40.0 | 0.9978 | 3.51 | 0.56 | 9.4 | 0 | 0 | 1 | 0 | 0 | 0 |
In [247]:
# After Standardization of data
# Separate Target Variable and Predictor Variables
# TargetVariable=['Signal_Strength']
TargetVariable=['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8']
Predictors=signal_data.drop(['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8'],axis=1).columns.to_list()
# Predictors = signal_data.drop(['Signal_Strength'],axis=1).columns.to_list()
# TargetVariable=['Signal_Strength']
# Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()
X=signal_data[Predictors].values
y=signal_data[TargetVariable].values
### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()
# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X)
# Generating the standardized values of X and y
X=PredictorScalerFit.transform(X)
# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.01, random_state=6)
X_train_1, X_test_1, y_train_1, y_test_1 = train_test_split(X, actual_y, test_size=0.01, random_state=6)
In [248]:
# Quick sanity check with the shapes of Training and testing datasets
print(X_train.shape)
print(y_train.shape)
print(X_test.shape)
print(y_test.shape)
(1345, 10) (1345, 6) (14, 10) (14, 6)
Finding best set of parameters using Manual Grid Search¶
In [249]:
from keras import optimizers
In [250]:
def FunctionFindBestParams(X_train, y_train):
# Defining the list of hyper parameters to try
TrialNumber=0
batch_size_list=[50, 100, 150, 200, 250]
epoch_list = [5, 10, 50 ,100, 150, 200]
import pandas as pd
SearchResultsData=pd.DataFrame(columns=['TrialNumber', 'Parameters', 'Accuracy'])
for batch_size_trial in batch_size_list:
for epochs_trial in epoch_list:
TrialNumber+=1
# Creating the classifier ANN model
classifier = Sequential()
classifier.add(Dense(units=12, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])
ANN_Model=classifier.fit(X_train,y_train,batch_size=batch_size_trial , epochs=epochs_trial, verbose=0)
Accuracy = ANN_Model.history['accuracy'][-1]
# printing the results of the current iteration
print(TrialNumber, 'Parameters:','batch_size:', batch_size_trial,'-', 'epochs:',epochs_trial, 'Accuracy:', Accuracy)
SearchResultsData=SearchResultsData.append(pd.DataFrame(data=[[TrialNumber,
'batch_size'+str(batch_size_trial)+'-'+'epoch'+str(epochs_trial), Accuracy]],
columns=['TrialNumber', 'Parameters', 'Accuracy'] ))
return(SearchResultsData)
In [229]:
# Calling the function
ResultsData=FunctionFindBestParams(X_train, y_train)
1 Parameters: batch_size: 50 - epochs: 5 Accuracy: 0.43376624584198 2 Parameters: batch_size: 50 - epochs: 10 Accuracy: 0.5134199261665344 3 Parameters: batch_size: 50 - epochs: 50 Accuracy: 0.5489177703857422 4 Parameters: batch_size: 50 - epochs: 100 Accuracy: 0.5679653882980347 5 Parameters: batch_size: 50 - epochs: 150 Accuracy: 0.6086580157279968 6 Parameters: batch_size: 50 - epochs: 200 Accuracy: 0.6138527989387512 7 Parameters: batch_size: 100 - epochs: 5 Accuracy: 0.43809524178504944 8 Parameters: batch_size: 100 - epochs: 10 Accuracy: 0.49437230825424194 9 Parameters: batch_size: 100 - epochs: 50 Accuracy: 0.5229437351226807 10 Parameters: batch_size: 100 - epochs: 100 Accuracy: 0.5757575631141663 11 Parameters: batch_size: 100 - epochs: 150 Accuracy: 0.5835497975349426 12 Parameters: batch_size: 100 - epochs: 200 Accuracy: 0.5748917460441589 13 Parameters: batch_size: 150 - epochs: 5 Accuracy: 0.45800864696502686 14 Parameters: batch_size: 150 - epochs: 10 Accuracy: 0.5255411267280579 15 Parameters: batch_size: 150 - epochs: 50 Accuracy: 0.5411255359649658 16 Parameters: batch_size: 150 - epochs: 100 Accuracy: 0.4961038827896118 17 Parameters: batch_size: 150 - epochs: 150 Accuracy: 0.5714285969734192 18 Parameters: batch_size: 150 - epochs: 200 Accuracy: 0.5740259885787964 19 Parameters: batch_size: 200 - epochs: 5 Accuracy: 0.44155845046043396 20 Parameters: batch_size: 200 - epochs: 10 Accuracy: 0.44069263339042664 21 Parameters: batch_size: 200 - epochs: 50 Accuracy: 0.5134199261665344 22 Parameters: batch_size: 200 - epochs: 100 Accuracy: 0.5402597188949585 23 Parameters: batch_size: 200 - epochs: 150 Accuracy: 0.5696969628334045 24 Parameters: batch_size: 200 - epochs: 200 Accuracy: 0.5653679370880127 25 Parameters: batch_size: 250 - epochs: 5 Accuracy: 0.4450216591358185 26 Parameters: batch_size: 250 - epochs: 10 Accuracy: 0.3974025845527649 27 Parameters: batch_size: 250 - epochs: 50 Accuracy: 0.5627705454826355 28 Parameters: batch_size: 250 - epochs: 100 Accuracy: 0.5523809790611267 29 Parameters: batch_size: 250 - epochs: 150 Accuracy: 0.5281385183334351 30 Parameters: batch_size: 250 - epochs: 200 Accuracy: 0.56623375415802
Plotting the parameter search results¶
In [230]:
%matplotlib inline
ResultsData.plot(x='Parameters', y='Accuracy', figsize=(15,4), kind='line', rot=20)
Out[230]:
<matplotlib.axes._subplots.AxesSubplot at 0x2557ef653a0>
In [231]:
ResultsData[ResultsData['Accuracy']==ResultsData['Accuracy'].max()]
Out[231]:
| TrialNumber | Parameters | Accuracy | |
|---|---|---|---|
| 0 | 6 | batch_size50-epoch200 | 0.613853 |
In [251]:
classifier = Sequential()
classifier.add(Dense(units=12, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])
In [252]:
classifier.summary()
Model: "sequential_411" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1301 (Dense) (None, 12) 132 _________________________________________________________________ dense_1302 (Dense) (None, 6) 78 _________________________________________________________________ dense_1303 (Dense) (None, 6) 42 ================================================================= Total params: 252 Trainable params: 252 Non-trainable params: 0 _________________________________________________________________
In [253]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200 27/27 [==============================] - 0s 1ms/step - loss: 1.6764 - accuracy: 0.3792 Epoch 2/200 27/27 [==============================] - 0s 1ms/step - loss: 1.4983 - accuracy: 0.4818 Epoch 3/200 27/27 [==============================] - 0s 910us/step - loss: 1.4054 - accuracy: 0.4848 Epoch 4/200 27/27 [==============================] - 0s 1ms/step - loss: 1.3519 - accuracy: 0.5056 Epoch 5/200 27/27 [==============================] - 0s 970us/step - loss: 1.3166 - accuracy: 0.5093 Epoch 6/200 27/27 [==============================] - 0s 1ms/step - loss: 1.2911 - accuracy: 0.5138 Epoch 7/200 27/27 [==============================] - 0s 888us/step - loss: 1.2704 - accuracy: 0.5048 Epoch 8/200 27/27 [==============================] - 0s 1ms/step - loss: 1.2530 - accuracy: 0.5138 Epoch 9/200 27/27 [==============================] - 0s 978us/step - loss: 1.2373 - accuracy: 0.5167 Epoch 10/200 27/27 [==============================] - 0s 896us/step - loss: 1.2231 - accuracy: 0.5190 Epoch 11/200 27/27 [==============================] - 0s 1ms/step - loss: 1.2096 - accuracy: 0.5130 Epoch 12/200 27/27 [==============================] - 0s 1ms/step - loss: 1.1963 - accuracy: 0.5219 Epoch 13/200 27/27 [==============================] - 0s 887us/step - loss: 1.1837 - accuracy: 0.5257 Epoch 14/200 27/27 [==============================] - 0s 941us/step - loss: 1.1715 - accuracy: 0.5271 Epoch 15/200 27/27 [==============================] - 0s 1ms/step - loss: 1.1597 - accuracy: 0.5353 Epoch 16/200 27/27 [==============================] - 0s 1ms/step - loss: 1.1484 - accuracy: 0.5368 Epoch 17/200 27/27 [==============================] - 0s 937us/step - loss: 1.1378 - accuracy: 0.5375 Epoch 18/200 27/27 [==============================] - 0s 1ms/step - loss: 1.1284 - accuracy: 0.5420 Epoch 19/200 27/27 [==============================] - 0s 943us/step - loss: 1.1182 - accuracy: 0.5413 Epoch 20/200 27/27 [==============================] - 0s 906us/step - loss: 1.1094 - accuracy: 0.5457 Epoch 21/200 27/27 [==============================] - 0s 1ms/step - loss: 1.1014 - accuracy: 0.5472 Epoch 22/200 27/27 [==============================] - 0s 902us/step - loss: 1.0935 - accuracy: 0.5472 Epoch 23/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0869 - accuracy: 0.5502 Epoch 24/200 27/27 [==============================] - 0s 948us/step - loss: 1.0802 - accuracy: 0.5487 Epoch 25/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0747 - accuracy: 0.5569 Epoch 26/200 27/27 [==============================] - 0s 919us/step - loss: 1.0684 - accuracy: 0.5584 Epoch 27/200 27/27 [==============================] - 0s 870us/step - loss: 1.0642 - accuracy: 0.5599 Epoch 28/200 27/27 [==============================] - 0s 935us/step - loss: 1.0593 - accuracy: 0.5651 Epoch 29/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0556 - accuracy: 0.5688 Epoch 30/200 27/27 [==============================] - 0s 917us/step - loss: 1.0517 - accuracy: 0.5725 Epoch 31/200 27/27 [==============================] - 0s 932us/step - loss: 1.0481 - accuracy: 0.5770 Epoch 32/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0448 - accuracy: 0.5784 Epoch 33/200 27/27 [==============================] - 0s 711us/step - loss: 1.0414 - accuracy: 0.5747 Epoch 34/200 27/27 [==============================] - 0s 811us/step - loss: 1.0389 - accuracy: 0.5755 Epoch 35/200 27/27 [==============================] - 0s 894us/step - loss: 1.0360 - accuracy: 0.5784 Epoch 36/200 27/27 [==============================] - 0s 986us/step - loss: 1.0339 - accuracy: 0.5814 Epoch 37/200 27/27 [==============================] - 0s 909us/step - loss: 1.0313 - accuracy: 0.5762 Epoch 38/200 27/27 [==============================] - 0s 901us/step - loss: 1.0288 - accuracy: 0.5799 Epoch 39/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0265 - accuracy: 0.5770 Epoch 40/200 27/27 [==============================] - 0s 901us/step - loss: 1.0244 - accuracy: 0.5799 Epoch 41/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0224 - accuracy: 0.5814 Epoch 42/200 27/27 [==============================] - 0s 905us/step - loss: 1.0204 - accuracy: 0.5814 Epoch 43/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0183 - accuracy: 0.5859 Epoch 44/200 27/27 [==============================] - 0s 997us/step - loss: 1.0160 - accuracy: 0.5822 Epoch 45/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0148 - accuracy: 0.5822 Epoch 46/200 27/27 [==============================] - 0s 944us/step - loss: 1.0126 - accuracy: 0.5859 Epoch 47/200 27/27 [==============================] - 0s 792us/step - loss: 1.0107 - accuracy: 0.5874 Epoch 48/200 27/27 [==============================] - 0s 878us/step - loss: 1.0093 - accuracy: 0.5829 Epoch 49/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0076 - accuracy: 0.5888 Epoch 50/200 27/27 [==============================] - 0s 990us/step - loss: 1.0059 - accuracy: 0.5881 Epoch 51/200 27/27 [==============================] - 0s 910us/step - loss: 1.0043 - accuracy: 0.5844 Epoch 52/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0031 - accuracy: 0.5888 Epoch 53/200 27/27 [==============================] - 0s 931us/step - loss: 1.0013 - accuracy: 0.5888 Epoch 54/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0004 - accuracy: 0.5911 Epoch 55/200 27/27 [==============================] - 0s 849us/step - loss: 0.9988 - accuracy: 0.5926 Epoch 56/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9971 - accuracy: 0.5888 Epoch 57/200 27/27 [==============================] - 0s 895us/step - loss: 0.9959 - accuracy: 0.5926 Epoch 58/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9946 - accuracy: 0.5918 Epoch 59/200 27/27 [==============================] - 0s 882us/step - loss: 0.9933 - accuracy: 0.5941 Epoch 60/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9919 - accuracy: 0.5933 Epoch 61/200 27/27 [==============================] - 0s 930us/step - loss: 0.9908 - accuracy: 0.5963 Epoch 62/200 27/27 [==============================] - 0s 627us/step - loss: 0.9896 - accuracy: 0.5918 Epoch 63/200 27/27 [==============================] - 0s 943us/step - loss: 0.9891 - accuracy: 0.5918 Epoch 64/200 27/27 [==============================] - 0s 901us/step - loss: 0.9876 - accuracy: 0.5955 Epoch 65/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9863 - accuracy: 0.5903 Epoch 66/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9854 - accuracy: 0.5933 Epoch 67/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9842 - accuracy: 0.5993 Epoch 68/200 27/27 [==============================] - 0s 889us/step - loss: 0.9834 - accuracy: 0.6007 Epoch 69/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9823 - accuracy: 0.5948 Epoch 70/200 27/27 [==============================] - 0s 943us/step - loss: 0.9814 - accuracy: 0.5918 Epoch 71/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9807 - accuracy: 0.5955 Epoch 72/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9799 - accuracy: 0.5926 Epoch 73/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9787 - accuracy: 0.5933 Epoch 74/200 27/27 [==============================] - 0s 909us/step - loss: 0.9777 - accuracy: 0.5978 Epoch 75/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9766 - accuracy: 0.5970 Epoch 76/200 27/27 [==============================] - 0s 878us/step - loss: 0.9759 - accuracy: 0.5978 Epoch 77/200 27/27 [==============================] - 0s 945us/step - loss: 0.9753 - accuracy: 0.5941 Epoch 78/200 27/27 [==============================] - 0s 894us/step - loss: 0.9742 - accuracy: 0.5955 Epoch 79/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9733 - accuracy: 0.5985 Epoch 80/200 27/27 [==============================] - 0s 957us/step - loss: 0.9726 - accuracy: 0.5955 Epoch 81/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9716 - accuracy: 0.5985 Epoch 82/200 27/27 [==============================] - 0s 924us/step - loss: 0.9711 - accuracy: 0.5941 Epoch 83/200 27/27 [==============================] - 0s 983us/step - loss: 0.9701 - accuracy: 0.5985 Epoch 84/200 27/27 [==============================] - 0s 879us/step - loss: 0.9696 - accuracy: 0.5955 Epoch 85/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9684 - accuracy: 0.5978 Epoch 86/200 27/27 [==============================] - 0s 936us/step - loss: 0.9680 - accuracy: 0.6052 Epoch 87/200 27/27 [==============================] - 0s 915us/step - loss: 0.9674 - accuracy: 0.5970 Epoch 88/200 27/27 [==============================] - 0s 916us/step - loss: 0.9665 - accuracy: 0.6045 Epoch 89/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9659 - accuracy: 0.6015 Epoch 90/200 27/27 [==============================] - 0s 929us/step - loss: 0.9654 - accuracy: 0.6052 Epoch 91/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9646 - accuracy: 0.6074 Epoch 92/200 27/27 [==============================] - 0s 915us/step - loss: 0.9645 - accuracy: 0.6089 Epoch 93/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9635 - accuracy: 0.6037 Epoch 94/200 27/27 [==============================] - 0s 962us/step - loss: 0.9629 - accuracy: 0.6037 Epoch 95/200 27/27 [==============================] - 0s 958us/step - loss: 0.9625 - accuracy: 0.6059 Epoch 96/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9616 - accuracy: 0.6112 Epoch 97/200 27/27 [==============================] - 0s 894us/step - loss: 0.9609 - accuracy: 0.6089 Epoch 98/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9602 - accuracy: 0.6059 Epoch 99/200 27/27 [==============================] - 0s 925us/step - loss: 0.9600 - accuracy: 0.6089 Epoch 100/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9594 - accuracy: 0.6052 Epoch 101/200 27/27 [==============================] - 0s 942us/step - loss: 0.9591 - accuracy: 0.6089 Epoch 102/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9585 - accuracy: 0.6104 Epoch 103/200 27/27 [==============================] - 0s 919us/step - loss: 0.9574 - accuracy: 0.6089 Epoch 104/200 27/27 [==============================] - 0s 951us/step - loss: 0.9579 - accuracy: 0.6104 Epoch 105/200 27/27 [==============================] - 0s 891us/step - loss: 0.9567 - accuracy: 0.6141 Epoch 106/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9563 - accuracy: 0.6126 Epoch 107/200 27/27 [==============================] - 0s 927us/step - loss: 0.9561 - accuracy: 0.6097 Epoch 108/200 27/27 [==============================] - 0s 996us/step - loss: 0.9552 - accuracy: 0.6097 Epoch 109/200 27/27 [==============================] - 0s 910us/step - loss: 0.9550 - accuracy: 0.6134 Epoch 110/200 27/27 [==============================] - 0s 997us/step - loss: 0.9543 - accuracy: 0.6141 Epoch 111/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9538 - accuracy: 0.6164 Epoch 112/200 27/27 [==============================] - 0s 929us/step - loss: 0.9532 - accuracy: 0.6104 Epoch 113/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9524 - accuracy: 0.6104 Epoch 114/200 27/27 [==============================] - 0s 939us/step - loss: 0.9523 - accuracy: 0.6126 Epoch 115/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9520 - accuracy: 0.6112 Epoch 116/200 27/27 [==============================] - 0s 899us/step - loss: 0.9512 - accuracy: 0.6149 Epoch 117/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9511 - accuracy: 0.6156 Epoch 118/200 27/27 [==============================] - 0s 920us/step - loss: 0.9504 - accuracy: 0.6097 Epoch 119/200 27/27 [==============================] - 0s 918us/step - loss: 0.9499 - accuracy: 0.6149 Epoch 120/200 27/27 [==============================] - 0s 997us/step - loss: 0.9499 - accuracy: 0.6104 Epoch 121/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9495 - accuracy: 0.6119 Epoch 122/200 27/27 [==============================] - 0s 932us/step - loss: 0.9492 - accuracy: 0.6112 Epoch 123/200 27/27 [==============================] - 0s 953us/step - loss: 0.9488 - accuracy: 0.6141 Epoch 124/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9486 - accuracy: 0.6126 Epoch 125/200 27/27 [==============================] - 0s 875us/step - loss: 0.9475 - accuracy: 0.6171 Epoch 126/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9478 - accuracy: 0.6141 Epoch 127/200 27/27 [==============================] - 0s 906us/step - loss: 0.9469 - accuracy: 0.6141 Epoch 128/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9466 - accuracy: 0.6141 Epoch 129/200 27/27 [==============================] - 0s 909us/step - loss: 0.9463 - accuracy: 0.6112 Epoch 130/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9461 - accuracy: 0.6156 Epoch 131/200 27/27 [==============================] - 0s 928us/step - loss: 0.9454 - accuracy: 0.6082 Epoch 132/200 27/27 [==============================] - 0s 814us/step - loss: 0.9449 - accuracy: 0.6134 Epoch 133/200 27/27 [==============================] - 0s 923us/step - loss: 0.9445 - accuracy: 0.6104 Epoch 134/200 27/27 [==============================] - 0s 973us/step - loss: 0.9446 - accuracy: 0.6126 Epoch 135/200 27/27 [==============================] - 0s 909us/step - loss: 0.9445 - accuracy: 0.6141 Epoch 136/200 27/27 [==============================] - 0s 988us/step - loss: 0.9434 - accuracy: 0.6104 Epoch 137/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9437 - accuracy: 0.6104 Epoch 138/200 27/27 [==============================] - 0s 954us/step - loss: 0.9429 - accuracy: 0.6119 Epoch 139/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9427 - accuracy: 0.6082 Epoch 140/200 27/27 [==============================] - 0s 952us/step - loss: 0.9419 - accuracy: 0.6171 Epoch 141/200 27/27 [==============================] - 0s 981us/step - loss: 0.9422 - accuracy: 0.6141 Epoch 142/200 27/27 [==============================] - 0s 838us/step - loss: 0.9415 - accuracy: 0.6149 Epoch 143/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9415 - accuracy: 0.6164 Epoch 144/200 27/27 [==============================] - 0s 874us/step - loss: 0.9407 - accuracy: 0.6097 Epoch 145/200 27/27 [==============================] - 0s 976us/step - loss: 0.9400 - accuracy: 0.6178 Epoch 146/200 27/27 [==============================] - 0s 979us/step - loss: 0.9404 - accuracy: 0.6067 Epoch 147/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9394 - accuracy: 0.6141 Epoch 148/200 27/27 [==============================] - 0s 882us/step - loss: 0.9393 - accuracy: 0.6052 Epoch 149/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9394 - accuracy: 0.6156 Epoch 150/200 27/27 [==============================] - 0s 929us/step - loss: 0.9389 - accuracy: 0.6134 Epoch 151/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9383 - accuracy: 0.6141 Epoch 152/200 27/27 [==============================] - 0s 904us/step - loss: 0.9382 - accuracy: 0.6141 Epoch 153/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9380 - accuracy: 0.6134 Epoch 154/200 27/27 [==============================] - 0s 916us/step - loss: 0.9381 - accuracy: 0.6126 Epoch 155/200 27/27 [==============================] - 0s 902us/step - loss: 0.9375 - accuracy: 0.6171 Epoch 156/200 27/27 [==============================] - 0s 929us/step - loss: 0.9370 - accuracy: 0.6104 Epoch 157/200 27/27 [==============================] - 0s 928us/step - loss: 0.9357 - accuracy: 0.6156 Epoch 158/200 27/27 [==============================] - 0s 936us/step - loss: 0.9371 - accuracy: 0.6164 Epoch 159/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9358 - accuracy: 0.6112 Epoch 160/200 27/27 [==============================] - 0s 939us/step - loss: 0.9359 - accuracy: 0.6193 Epoch 161/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9355 - accuracy: 0.6097 Epoch 162/200 27/27 [==============================] - 0s 921us/step - loss: 0.9347 - accuracy: 0.6216 Epoch 163/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9350 - accuracy: 0.6097 Epoch 164/200 27/27 [==============================] - 0s 881us/step - loss: 0.9341 - accuracy: 0.6119 Epoch 165/200 27/27 [==============================] - 0s 895us/step - loss: 0.9340 - accuracy: 0.6082 Epoch 166/200 27/27 [==============================] - 0s 914us/step - loss: 0.9339 - accuracy: 0.6141 Epoch 167/200 27/27 [==============================] - 0s 960us/step - loss: 0.9340 - accuracy: 0.6104 Epoch 168/200 27/27 [==============================] - 0s 960us/step - loss: 0.9328 - accuracy: 0.6104 Epoch 169/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9335 - accuracy: 0.6119 Epoch 170/200 27/27 [==============================] - 0s 911us/step - loss: 0.9324 - accuracy: 0.6141 Epoch 171/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9330 - accuracy: 0.6126 Epoch 172/200 27/27 [==============================] - 0s 898us/step - loss: 0.9324 - accuracy: 0.6164 Epoch 173/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9318 - accuracy: 0.6216 Epoch 174/200 27/27 [==============================] - 0s 949us/step - loss: 0.9313 - accuracy: 0.6171 Epoch 175/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9317 - accuracy: 0.6141 Epoch 176/200 27/27 [==============================] - 0s 884us/step - loss: 0.9310 - accuracy: 0.6112 Epoch 177/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9306 - accuracy: 0.6134 Epoch 178/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9303 - accuracy: 0.6141 Epoch 179/200 27/27 [==============================] - 0s 898us/step - loss: 0.9301 - accuracy: 0.6149 Epoch 180/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9295 - accuracy: 0.6164 Epoch 181/200 27/27 [==============================] - 0s 898us/step - loss: 0.9296 - accuracy: 0.6141 Epoch 182/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9285 - accuracy: 0.6171 Epoch 183/200 27/27 [==============================] - 0s 942us/step - loss: 0.9279 - accuracy: 0.6059 Epoch 184/200 27/27 [==============================] - 0s 933us/step - loss: 0.9288 - accuracy: 0.6193 Epoch 185/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9280 - accuracy: 0.6171 Epoch 186/200 27/27 [==============================] - 0s 922us/step - loss: 0.9284 - accuracy: 0.6178 Epoch 187/200 27/27 [==============================] - 0s 808us/step - loss: 0.9278 - accuracy: 0.6097 Epoch 188/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9268 - accuracy: 0.6089 Epoch 189/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9269 - accuracy: 0.6178 Epoch 190/200 27/27 [==============================] - 0s 884us/step - loss: 0.9266 - accuracy: 0.6149 Epoch 191/200 27/27 [==============================] - 0s 993us/step - loss: 0.9265 - accuracy: 0.6164 Epoch 192/200 27/27 [==============================] - 0s 980us/step - loss: 0.9268 - accuracy: 0.6134 Epoch 193/200 27/27 [==============================] - 0s 968us/step - loss: 0.9259 - accuracy: 0.6141 Epoch 194/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9256 - accuracy: 0.6119 Epoch 195/200 27/27 [==============================] - 0s 920us/step - loss: 0.9256 - accuracy: 0.6112 Epoch 196/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9251 - accuracy: 0.6104 Epoch 197/200 27/27 [==============================] - 0s 864us/step - loss: 0.9249 - accuracy: 0.6164 Epoch 198/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9247 - accuracy: 0.6112 Epoch 199/200 27/27 [==============================] - 0s 925us/step - loss: 0.9242 - accuracy: 0.6164 Epoch 200/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9242 - accuracy: 0.6089
In [255]:
# Adding in the SGD optimizer
optimizer = optimizers.SGD(lr=0.001)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
In [256]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9223 - accuracy: 0.6134 Epoch 2/200 27/27 [==============================] - 0s 948us/step - loss: 0.9223 - accuracy: 0.6156 Epoch 3/200 27/27 [==============================] - 0s 959us/step - loss: 0.9222 - accuracy: 0.6134 Epoch 4/200 27/27 [==============================] - 0s 942us/step - loss: 0.9222 - accuracy: 0.6141 Epoch 5/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9222 - accuracy: 0.6119 Epoch 6/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9222 - accuracy: 0.6126 Epoch 7/200 27/27 [==============================] - 0s 966us/step - loss: 0.9222 - accuracy: 0.6119 Epoch 8/200 27/27 [==============================] - 0s 966us/step - loss: 0.9221 - accuracy: 0.6134 Epoch 9/200 27/27 [==============================] - 0s 880us/step - loss: 0.9221 - accuracy: 0.6126 Epoch 10/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9221 - accuracy: 0.6149 Epoch 11/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9221 - accuracy: 0.6119 Epoch 12/200 27/27 [==============================] - 0s 942us/step - loss: 0.9220 - accuracy: 0.6134 Epoch 13/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9220 - accuracy: 0.6126 Epoch 14/200 27/27 [==============================] - 0s 884us/step - loss: 0.9220 - accuracy: 0.6134 Epoch 15/200 27/27 [==============================] - 0s 918us/step - loss: 0.9220 - accuracy: 0.6112 Epoch 16/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9219 - accuracy: 0.6134 Epoch 17/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9219 - accuracy: 0.6126 Epoch 18/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6134 Epoch 19/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119 Epoch 20/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6112 Epoch 21/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119 Epoch 22/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119 Epoch 23/200 27/27 [==============================] - 0s 899us/step - loss: 0.9217 - accuracy: 0.6119 Epoch 24/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9217 - accuracy: 0.6112 Epoch 25/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9216 - accuracy: 0.6126 Epoch 26/200 27/27 [==============================] - 0s 979us/step - loss: 0.9216 - accuracy: 0.6126 Epoch 27/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9216 - accuracy: 0.6119 Epoch 28/200 27/27 [==============================] - 0s 953us/step - loss: 0.9216 - accuracy: 0.6112 Epoch 29/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6112 Epoch 30/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6119 Epoch 31/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6119 Epoch 32/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6119 Epoch 33/200 27/27 [==============================] - 0s 759us/step - loss: 0.9214 - accuracy: 0.6112 Epoch 34/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6104 Epoch 35/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6119 Epoch 36/200 27/27 [==============================] - 0s 994us/step - loss: 0.9213 - accuracy: 0.6126 Epoch 37/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9213 - accuracy: 0.6119 Epoch 38/200 27/27 [==============================] - 0s 828us/step - loss: 0.9213 - accuracy: 0.6119 Epoch 39/200 27/27 [==============================] - 0s 981us/step - loss: 0.9212 - accuracy: 0.6112 Epoch 40/200 27/27 [==============================] - 0s 781us/step - loss: 0.9212 - accuracy: 0.6112 Epoch 41/200 27/27 [==============================] - 0s 970us/step - loss: 0.9212 - accuracy: 0.6112 Epoch 42/200 27/27 [==============================] - 0s 768us/step - loss: 0.9212 - accuracy: 0.6119 Epoch 43/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9212 - accuracy: 0.6119 Epoch 44/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9211 - accuracy: 0.6126 Epoch 45/200 27/27 [==============================] - 0s 959us/step - loss: 0.9211 - accuracy: 0.6097 Epoch 46/200 27/27 [==============================] - 0s 984us/step - loss: 0.9211 - accuracy: 0.6119 Epoch 47/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9211 - accuracy: 0.6112 Epoch 48/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6119 Epoch 49/200 27/27 [==============================] - 0s 987us/step - loss: 0.9210 - accuracy: 0.6134 Epoch 50/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6134 Epoch 51/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6119 Epoch 52/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9209 - accuracy: 0.6112 Epoch 53/200 27/27 [==============================] - 0s 934us/step - loss: 0.9209 - accuracy: 0.6126 Epoch 54/200 27/27 [==============================] - 0s 988us/step - loss: 0.9209 - accuracy: 0.6156 Epoch 55/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6119 Epoch 56/200 27/27 [==============================] - 0s 878us/step - loss: 0.9208 - accuracy: 0.6112 Epoch 57/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6126 Epoch 58/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6112 Epoch 59/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119 Epoch 60/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119 Epoch 61/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119 Epoch 62/200 27/27 [==============================] - 0s 956us/step - loss: 0.9206 - accuracy: 0.6134 Epoch 63/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9206 - accuracy: 0.6119 Epoch 64/200 27/27 [==============================] - 0s 960us/step - loss: 0.9206 - accuracy: 0.6134 Epoch 65/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9206 - accuracy: 0.6119 Epoch 66/200 27/27 [==============================] - 0s 949us/step - loss: 0.9205 - accuracy: 0.6119 Epoch 67/200 27/27 [==============================] - 0s 883us/step - loss: 0.9205 - accuracy: 0.6119 Epoch 68/200 27/27 [==============================] - 0s 968us/step - loss: 0.9205 - accuracy: 0.6126 Epoch 69/200 27/27 [==============================] - 0s 907us/step - loss: 0.9204 - accuracy: 0.6112 Epoch 70/200 27/27 [==============================] - 0s 967us/step - loss: 0.9204 - accuracy: 0.6119 Epoch 71/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6119 Epoch 72/200 27/27 [==============================] - 0s 895us/step - loss: 0.9204 - accuracy: 0.6126 Epoch 73/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6119 Epoch 74/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6134 Epoch 75/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6112 Epoch 76/200 27/27 [==============================] - 0s 831us/step - loss: 0.9203 - accuracy: 0.6119 Epoch 77/200 27/27 [==============================] - 0s 801us/step - loss: 0.9203 - accuracy: 0.6119 Epoch 78/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6119 Epoch 79/200 27/27 [==============================] - 0s 881us/step - loss: 0.9202 - accuracy: 0.6119 Epoch 80/200 27/27 [==============================] - 0s 881us/step - loss: 0.9202 - accuracy: 0.6104 Epoch 81/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6149 Epoch 82/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6097 Epoch 83/200 27/27 [==============================] - 0s 974us/step - loss: 0.9201 - accuracy: 0.6119 Epoch 84/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6126 Epoch 85/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6112 Epoch 86/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6112 Epoch 87/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6104 Epoch 88/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9199 - accuracy: 0.6126 Epoch 89/200 27/27 [==============================] - 0s 892us/step - loss: 0.9199 - accuracy: 0.6126 Epoch 90/200 27/27 [==============================] - 0s 969us/step - loss: 0.9199 - accuracy: 0.6141 Epoch 91/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9199 - accuracy: 0.6112 Epoch 92/200 27/27 [==============================] - 0s 917us/step - loss: 0.9199 - accuracy: 0.6119 Epoch 93/200 27/27 [==============================] - 0s 937us/step - loss: 0.9198 - accuracy: 0.6126 Epoch 94/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6119 Epoch 95/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6126 Epoch 96/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6119 Epoch 97/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9197 - accuracy: 0.6119 Epoch 98/200 27/27 [==============================] - 0s 878us/step - loss: 0.9198 - accuracy: 0.6126 Epoch 99/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9197 - accuracy: 0.6119 Epoch 100/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119 Epoch 101/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119 Epoch 102/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119 Epoch 103/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6112 Epoch 104/200 27/27 [==============================] - 0s 781us/step - loss: 0.9195 - accuracy: 0.6119 Epoch 105/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119 Epoch 106/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119 Epoch 107/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119 Epoch 108/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119 Epoch 109/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119 Epoch 110/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119 Epoch 111/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6126 Epoch 112/200 27/27 [==============================] - 0s 991us/step - loss: 0.9194 - accuracy: 0.6112 Epoch 113/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6119 Epoch 114/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6104 Epoch 115/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6112 Epoch 116/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9193 - accuracy: 0.6112 Epoch 117/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9192 - accuracy: 0.6112 Epoch 118/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9192 - accuracy: 0.6112 Epoch 119/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6126 Epoch 120/200 27/27 [==============================] - 0s 957us/step - loss: 0.9192 - accuracy: 0.6112 Epoch 121/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6119 Epoch 122/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6119 Epoch 123/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6126 Epoch 124/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6119 Epoch 125/200 27/27 [==============================] - 0s 926us/step - loss: 0.9190 - accuracy: 0.6112 Epoch 126/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6119 Epoch 127/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6112 Epoch 128/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6126 Epoch 129/200 27/27 [==============================] - 0s 990us/step - loss: 0.9190 - accuracy: 0.6112 Epoch 130/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6119 Epoch 131/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6126 Epoch 132/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6119 Epoch 133/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6112 Epoch 134/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6134 Epoch 135/200 27/27 [==============================] - 0s 793us/step - loss: 0.9188 - accuracy: 0.6112 Epoch 136/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6126 Epoch 137/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6134 Epoch 138/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6126 Epoch 139/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6112 Epoch 140/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6112 Epoch 141/200 27/27 [==============================] - 0s 791us/step - loss: 0.9186 - accuracy: 0.6126 Epoch 142/200 27/27 [==============================] - 0s 966us/step - loss: 0.9186 - accuracy: 0.6126 Epoch 143/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9186 - accuracy: 0.6119 Epoch 144/200 27/27 [==============================] - 0s 799us/step - loss: 0.9186 - accuracy: 0.6126 Epoch 145/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6126 Epoch 146/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6112 Epoch 147/200 27/27 [==============================] - 0s 993us/step - loss: 0.9185 - accuracy: 0.6134 Epoch 148/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6104 Epoch 149/200 27/27 [==============================] - 0s 921us/step - loss: 0.9185 - accuracy: 0.6112 Epoch 150/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9184 - accuracy: 0.6126 Epoch 151/200 27/27 [==============================] - ETA: 0s - loss: 0.9556 - accuracy: 0.58 - 0s 784us/step - loss: 0.9184 - accuracy: 0.6119 Epoch 152/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9184 - accuracy: 0.6112 Epoch 153/200 27/27 [==============================] - 0s 724us/step - loss: 0.9183 - accuracy: 0.6134 Epoch 154/200 27/27 [==============================] - 0s 987us/step - loss: 0.9183 - accuracy: 0.6104 Epoch 155/200 27/27 [==============================] - 0s 914us/step - loss: 0.9183 - accuracy: 0.6126 Epoch 156/200 27/27 [==============================] - 0s 914us/step - loss: 0.9183 - accuracy: 0.6119 Epoch 157/200 27/27 [==============================] - 0s 852us/step - loss: 0.9182 - accuracy: 0.6119 Epoch 158/200 27/27 [==============================] - 0s 683us/step - loss: 0.9182 - accuracy: 0.6112 Epoch 159/200 27/27 [==============================] - 0s 913us/step - loss: 0.9182 - accuracy: 0.6112 Epoch 160/200 27/27 [==============================] - 0s 897us/step - loss: 0.9182 - accuracy: 0.6126 Epoch 161/200 27/27 [==============================] - 0s 869us/step - loss: 0.9182 - accuracy: 0.6119 Epoch 162/200 27/27 [==============================] - 0s 866us/step - loss: 0.9181 - accuracy: 0.6119 Epoch 163/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9181 - accuracy: 0.6119 Epoch 164/200 27/27 [==============================] - 0s 912us/step - loss: 0.9180 - accuracy: 0.6112 Epoch 165/200 27/27 [==============================] - 0s 917us/step - loss: 0.9181 - accuracy: 0.6119 Epoch 166/200 27/27 [==============================] - 0s 922us/step - loss: 0.9180 - accuracy: 0.6119 Epoch 167/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9180 - accuracy: 0.6112 Epoch 168/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9179 - accuracy: 0.6119 Epoch 169/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9180 - accuracy: 0.6112 Epoch 170/200 27/27 [==============================] - 0s 953us/step - loss: 0.9179 - accuracy: 0.6119 Epoch 171/200 27/27 [==============================] - 0s 967us/step - loss: 0.9179 - accuracy: 0.6119 Epoch 172/200 27/27 [==============================] - 0s 705us/step - loss: 0.9179 - accuracy: 0.6119 Epoch 173/200 27/27 [==============================] - 0s 941us/step - loss: 0.9179 - accuracy: 0.6119 Epoch 174/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9179 - accuracy: 0.6126 Epoch 175/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9178 - accuracy: 0.6119 Epoch 176/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119 Epoch 177/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9178 - accuracy: 0.6119 Epoch 178/200 27/27 [==============================] - 0s 855us/step - loss: 0.9177 - accuracy: 0.6126 Epoch 179/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119 Epoch 180/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9177 - accuracy: 0.6112 Epoch 181/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119 Epoch 182/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9176 - accuracy: 0.6119 Epoch 183/200 27/27 [==============================] - 0s 898us/step - loss: 0.9176 - accuracy: 0.6119 Epoch 184/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9176 - accuracy: 0.6141 Epoch 185/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126 Epoch 186/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126 Epoch 187/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126 Epoch 188/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126 Epoch 189/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6119 Epoch 190/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6119 Epoch 191/200 27/27 [==============================] - 0s 864us/step - loss: 0.9174 - accuracy: 0.6119 Epoch 192/200 27/27 [==============================] - 0s 933us/step - loss: 0.9174 - accuracy: 0.6119 Epoch 193/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9174 - accuracy: 0.6119 Epoch 194/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9174 - accuracy: 0.6134 Epoch 195/200 27/27 [==============================] - 0s 996us/step - loss: 0.9173 - accuracy: 0.6126 Epoch 196/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9173 - accuracy: 0.6112 Epoch 197/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9173 - accuracy: 0.6119 Epoch 198/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6119 Epoch 199/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6126 Epoch 200/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6119
In [258]:
# Adding the adam optimizer
optimizer = optimizers.Adam(lr=0.1)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
In [259]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0838 - accuracy: 0.5532 Epoch 2/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9954 - accuracy: 0.5710 Epoch 3/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9746 - accuracy: 0.5747 Epoch 4/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9805 - accuracy: 0.5792 Epoch 5/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9566 - accuracy: 0.5844 Epoch 6/200 27/27 [==============================] - 0s 994us/step - loss: 0.9717 - accuracy: 0.5777 Epoch 7/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9789 - accuracy: 0.5792 Epoch 8/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9590 - accuracy: 0.6015 Epoch 9/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9236 - accuracy: 0.6000 Epoch 10/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9228 - accuracy: 0.6000 Epoch 11/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9292 - accuracy: 0.6082 Epoch 12/200 27/27 [==============================] - 0s 941us/step - loss: 0.9310 - accuracy: 0.6067 Epoch 13/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9354 - accuracy: 0.5985 Epoch 14/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6112 Epoch 15/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9368 - accuracy: 0.6074 Epoch 16/200 27/27 [==============================] - 0s 877us/step - loss: 0.9401 - accuracy: 0.5903 Epoch 17/200 27/27 [==============================] - 0s 986us/step - loss: 0.9371 - accuracy: 0.6052 Epoch 18/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.5926 Epoch 19/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9590 - accuracy: 0.6007 Epoch 20/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9324 - accuracy: 0.5978 Epoch 21/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9034 - accuracy: 0.6089 Epoch 22/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9332 - accuracy: 0.6052 Epoch 23/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9182 - accuracy: 0.6052 Epoch 24/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9268 - accuracy: 0.5710 Epoch 25/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9142 - accuracy: 0.6104 Epoch 26/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9254 - accuracy: 0.5941 Epoch 27/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9507 - accuracy: 0.5866 Epoch 28/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9774 - accuracy: 0.5918 Epoch 29/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9724 - accuracy: 0.5866 Epoch 30/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6030 Epoch 31/200 27/27 [==============================] - 0s 869us/step - loss: 0.9464 - accuracy: 0.5985 Epoch 32/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9139 - accuracy: 0.6067 Epoch 33/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9028 - accuracy: 0.6134 Epoch 34/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9278 - accuracy: 0.5844 Epoch 35/200 27/27 [==============================] - 0s 937us/step - loss: 0.9249 - accuracy: 0.6216 Epoch 36/200 27/27 [==============================] - 0s 901us/step - loss: 0.9504 - accuracy: 0.6126 Epoch 37/200 27/27 [==============================] - 0s 957us/step - loss: 0.9609 - accuracy: 0.6007 Epoch 38/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9723 - accuracy: 0.5918 Epoch 39/200 27/27 [==============================] - 0s 893us/step - loss: 0.9637 - accuracy: 0.5918 Epoch 40/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9346 - accuracy: 0.6208 Epoch 41/200 27/27 [==============================] - 0s 934us/step - loss: 0.9290 - accuracy: 0.6067 Epoch 42/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9227 - accuracy: 0.6007 Epoch 43/200 27/27 [==============================] - 0s 964us/step - loss: 0.9113 - accuracy: 0.6097 Epoch 44/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9146 - accuracy: 0.6126 Epoch 45/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9303 - accuracy: 0.5911 Epoch 46/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9325 - accuracy: 0.5941 Epoch 47/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9064 - accuracy: 0.6149 Epoch 48/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9271 - accuracy: 0.6030 Epoch 49/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9267 - accuracy: 0.5978 Epoch 50/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9064 - accuracy: 0.6119 Epoch 51/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9035 - accuracy: 0.6089 Epoch 52/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9272 - accuracy: 0.5903 Epoch 53/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9652 - accuracy: 0.5621 Epoch 54/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9370 - accuracy: 0.5844 Epoch 55/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9454 - accuracy: 0.6082 Epoch 56/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9117 - accuracy: 0.6156 Epoch 57/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9161 - accuracy: 0.5881 Epoch 58/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9122 - accuracy: 0.6097 Epoch 59/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9227 - accuracy: 0.6082 Epoch 60/200 27/27 [==============================] - 0s 1ms/step - loss: 0.8968 - accuracy: 0.6171 Epoch 61/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9062 - accuracy: 0.6149 Epoch 62/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9139 - accuracy: 0.6126 Epoch 63/200 27/27 [==============================] - 0s 1ms/step - loss: 0.8959 - accuracy: 0.6052 Epoch 64/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9109 - accuracy: 0.6082 Epoch 65/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9167 - accuracy: 0.6037 Epoch 66/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.5844 Epoch 67/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9419 - accuracy: 0.6059 Epoch 68/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9676 - accuracy: 0.5881 Epoch 69/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9762 - accuracy: 0.5881 Epoch 70/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9433 - accuracy: 0.5814 Epoch 71/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9384 - accuracy: 0.6089 Epoch 72/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9294 - accuracy: 0.6067 Epoch 73/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9256 - accuracy: 0.6074 Epoch 74/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9017 - accuracy: 0.6290 Epoch 75/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6126 Epoch 76/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9060 - accuracy: 0.6037 Epoch 77/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9357 - accuracy: 0.5732 Epoch 78/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9277 - accuracy: 0.5888 Epoch 79/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9104 - accuracy: 0.6141 Epoch 80/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9322 - accuracy: 0.6089 Epoch 81/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9563 - accuracy: 0.5903 Epoch 82/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9408 - accuracy: 0.5807 Epoch 83/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9063 - accuracy: 0.6037 Epoch 84/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9050 - accuracy: 0.6104 Epoch 85/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9161 - accuracy: 0.6193 Epoch 86/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9076 - accuracy: 0.6052 Epoch 87/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9152 - accuracy: 0.6082 Epoch 88/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6082 Epoch 89/200 27/27 [==============================] - 0s 1ms/step - loss: 0.8987 - accuracy: 0.6037 Epoch 90/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9157 - accuracy: 0.6141 Epoch 91/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9666 - accuracy: 0.6007 Epoch 92/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9329 - accuracy: 0.6082 Epoch 93/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6134 Epoch 94/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.5993 Epoch 95/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9515 - accuracy: 0.6104 Epoch 96/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9052 - accuracy: 0.6097 Epoch 97/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9089 - accuracy: 0.6097 Epoch 98/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9300 - accuracy: 0.6067 Epoch 99/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9311 - accuracy: 0.5799 Epoch 100/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9159 - accuracy: 0.6074 Epoch 101/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9630 - accuracy: 0.5710 Epoch 102/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9262 - accuracy: 0.5985 Epoch 103/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9373 - accuracy: 0.5829 Epoch 104/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9170 - accuracy: 0.5844 Epoch 105/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9533 - accuracy: 0.5955 Epoch 106/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9781 - accuracy: 0.5836 Epoch 107/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9769 - accuracy: 0.5628 Epoch 108/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9423 - accuracy: 0.5770 Epoch 109/200 27/27 [==============================] - 0s 969us/step - loss: 0.9806 - accuracy: 0.5546 Epoch 110/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9554 - accuracy: 0.5680 Epoch 111/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9589 - accuracy: 0.5725 Epoch 112/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9516 - accuracy: 0.5896 Epoch 113/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9767 - accuracy: 0.5695 Epoch 114/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9452 - accuracy: 0.6067 Epoch 115/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9347 - accuracy: 0.5948 Epoch 116/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9581 - accuracy: 0.5799 Epoch 117/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9413 - accuracy: 0.5903 Epoch 118/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9469 - accuracy: 0.5948 Epoch 119/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9366 - accuracy: 0.6030 Epoch 120/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9390 - accuracy: 0.5903 Epoch 121/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9244 - accuracy: 0.6119 Epoch 122/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9138 - accuracy: 0.6037 Epoch 123/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6097 Epoch 124/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9132 - accuracy: 0.6275 Epoch 125/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6164 Epoch 126/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9027 - accuracy: 0.6260 Epoch 127/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9097 - accuracy: 0.6216 Epoch 128/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9053 - accuracy: 0.6156 Epoch 129/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9094 - accuracy: 0.6201 Epoch 130/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9282 - accuracy: 0.6230 Epoch 131/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9285 - accuracy: 0.6082 Epoch 132/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9002 - accuracy: 0.6275 Epoch 133/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9271 - accuracy: 0.5948 Epoch 134/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9448 - accuracy: 0.6015 Epoch 135/200 27/27 [==============================] - 0s 979us/step - loss: 0.9775 - accuracy: 0.5963 Epoch 136/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9531 - accuracy: 0.6112 Epoch 137/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0390 - accuracy: 0.5955 Epoch 138/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9700 - accuracy: 0.6000 Epoch 139/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9510 - accuracy: 0.5926 Epoch 140/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9278 - accuracy: 0.6171 Epoch 141/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9506 - accuracy: 0.6030 Epoch 142/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9653 - accuracy: 0.6089 Epoch 143/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9487 - accuracy: 0.5993 Epoch 144/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9522 - accuracy: 0.6082 Epoch 145/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9255 - accuracy: 0.6149 Epoch 146/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9353 - accuracy: 0.6037 Epoch 147/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9407 - accuracy: 0.6178 Epoch 148/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9352 - accuracy: 0.6074 Epoch 149/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9263 - accuracy: 0.6104 Epoch 150/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9595 - accuracy: 0.5933 Epoch 151/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9583 - accuracy: 0.6037 Epoch 152/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9572 - accuracy: 0.5799 Epoch 153/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9383 - accuracy: 0.6052 Epoch 154/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6283 Epoch 155/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9171 - accuracy: 0.6230 Epoch 156/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9244 - accuracy: 0.6268 Epoch 157/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9762 - accuracy: 0.6208 Epoch 158/200 27/27 [==============================] - 0s 1ms/step - loss: 1.0256 - accuracy: 0.5918 Epoch 159/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9599 - accuracy: 0.6186 Epoch 160/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6230 Epoch 161/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9435 - accuracy: 0.6208 Epoch 162/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9250 - accuracy: 0.6223 Epoch 163/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9614 - accuracy: 0.6141 Epoch 164/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9372 - accuracy: 0.6104 Epoch 165/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9341 - accuracy: 0.6112 Epoch 166/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9311 - accuracy: 0.5948 Epoch 167/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9414 - accuracy: 0.6030 Epoch 168/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9466 - accuracy: 0.5993 Epoch 169/200 27/27 [==============================] - 0s 2ms/step - loss: 0.9437 - accuracy: 0.6230 Epoch 170/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6149 Epoch 171/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6193 Epoch 172/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9284 - accuracy: 0.6245 Epoch 173/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6156 Epoch 174/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9169 - accuracy: 0.6208 Epoch 175/200 27/27 [==============================] - 0s 3ms/step - loss: 0.9182 - accuracy: 0.6178 Epoch 176/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9530 - accuracy: 0.6164 Epoch 177/200 27/27 [==============================] - 0s 917us/step - loss: 0.9507 - accuracy: 0.6126 Epoch 178/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9279 - accuracy: 0.6045 Epoch 179/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6149 Epoch 180/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9242 - accuracy: 0.6171 Epoch 181/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9209 - accuracy: 0.6074 Epoch 182/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9149 - accuracy: 0.6134 Epoch 183/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6216 Epoch 184/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9308 - accuracy: 0.6149 Epoch 185/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9368 - accuracy: 0.6141 Epoch 186/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9353 - accuracy: 0.6112 Epoch 187/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9140 - accuracy: 0.6245 Epoch 188/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6349 Epoch 189/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9217 - accuracy: 0.6156 Epoch 190/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9149 - accuracy: 0.6275 Epoch 191/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9274 - accuracy: 0.6149 Epoch 192/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.5970 Epoch 193/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9404 - accuracy: 0.6007 Epoch 194/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9142 - accuracy: 0.6230 Epoch 195/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9253 - accuracy: 0.6223 Epoch 196/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9294 - accuracy: 0.6260 Epoch 197/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9181 - accuracy: 0.6253 Epoch 198/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6193 Epoch 199/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9360 - accuracy: 0.6186 Epoch 200/200 27/27 [==============================] - 0s 1ms/step - loss: 0.9683 - accuracy: 0.6119
In [260]:
classifier.evaluate(X_test,y_test)
WARNING:tensorflow:5 out of the last 17 calls to <function Model.make_test_function.<locals>.test_function at 0x000002550EAA8310> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details. 1/1 [==============================] - 0s 7ms/step - loss: 1.3388 - accuracy: 0.7857
Out[260]:
[1.3388004302978516, 0.7857142686843872]
Saving The Classifier Model¶
In [261]:
classifier.save('classifier_model.h5')
from keras.models import load_model
classifier_model = load_model('classifier_model.h5')
In [262]:
classifier_model.evaluate(X_test,y_test)
WARNING:tensorflow:5 out of the last 11 calls to <function Model.make_test_function.<locals>.test_function at 0x00000255151448B0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details. 1/1 [==============================] - 0s 0s/step - loss: 1.3388 - accuracy: 0.7857
Out[262]:
[1.3388004302978516, 0.7857142686843872]
Making the Predictions¶
In [263]:
Predictions_Made = []
for i in TargetVariable:
j = ''
j = 'Predicted_' + i
Predictions_Made.append(j)
In [266]:
# Predictions on testing data
Predictions=classifier.predict(X_test)
p = classifier.predict_classes(X_test)
# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)
# Generating a data frame for analyzing the test data
TestingData = pd.DataFrame()
TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData[TargetVariable[0]] = y_test[:,0]
TestingData[TargetVariable[1]] = y_test[:,1]
TestingData[TargetVariable[2]] = y_test[:,2]
TestingData[TargetVariable[3]] = y_test[:,3]
TestingData[TargetVariable[4]] = y_test[:,4]
TestingData[TargetVariable[5]] = y_test[:,5]
TestingData = TestingData.rename(columns={TargetVariable[0]:3,TargetVariable[1]:4,TargetVariable[2]:5,TargetVariable[3]:6,TargetVariable[4]:7,TargetVariable[5]:8 })
strength = []
for i in range(len(TestingData)):
for col,val in TestingData.loc[i].iteritems():
if val==1.0:
strength.append(col)
strength = [ x for x in strength if "Parameter" not in str(x) ]
strength = np.array(strength)
TestingData['Actual_Signal_Strength'] = y_test_1
# print(TestingData.head())
TestingData.drop([3,4,5,6,7,8],axis=1,inplace=True)
TestingData[Predictions_Made[0]] = Predictions[:,0]
TestingData[Predictions_Made[1]] = Predictions[:,1]
TestingData[Predictions_Made[2]] = Predictions[:,2]
TestingData[Predictions_Made[3]] = Predictions[:,3]
TestingData[Predictions_Made[4]] = Predictions[:,4]
TestingData[Predictions_Made[5]] = Predictions[:,5]
### PROBABILITY METHOD ###
# def probThreshold(inpProb):
# if inpProb>=0.3:
# return(1)
# else:
# return(0)
# TestingData[Predictions_Made[0]]=TestingData[Predictions_Made[0]].apply(probThreshold)
# TestingData[Predictions_Made[1]]=TestingData[Predictions_Made[1]].apply(probThreshold)
# TestingData[Predictions_Made[2]]=TestingData[Predictions_Made[2]].apply(probThreshold)
# TestingData[Predictions_Made[3]]=TestingData[Predictions_Made[3]].apply(probThreshold)
# TestingData[Predictions_Made[4]]=TestingData[Predictions_Made[4]].apply(probThreshold)
# TestingData[Predictions_Made[5]]=TestingData[Predictions_Made[5]].apply(probThreshold)
# TestingData = TestingData.rename(columns={Predictions_Made[0]:3,Predictions_Made[1]:4,Predictions_Made[2]:5,Predictions_Made[3]:6,Predictions_Made[4]:7,Predictions_Made[5]:8 })
# predicted_strength = []
# for i in range(len(TestingData)):
# for col,val in TestingData.loc[i].iteritems():
# if val==1.0:
# predicted_strength.append(col)
# predicted_strength = [ x for x in strength if "Parameter" not in str(x) ]
# predicted_strength = np.array(predicted_strength)
TestingData['Predicted_Signal_Strength'] = p
# print(TestingData.head())
TestingData['Predicted_Signal_Strength'] = TestingData['Predicted_Signal_Strength'].replace({0:3,1:4,2:5,3:6,4:7,5:8})
TestingData.drop(Predictions_Made,axis=1,inplace=True)
TestingData.head()
Out[266]:
| Parameter 1 | Parameter 2 | Parameter 3 | Parameter 5 | Parameter 6 | Parameter 7 | Parameter 8 | Parameter 9 | Parameter 10 | Parameter 11 | Actual_Signal_Strength | Predicted_Signal_Strength | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.6 | 0.54 | 0.04 | 0.049 | 5.0 | 13.0 | 0.99420 | 3.72 | 0.58 | 11.4 | 5 | 5 |
| 1 | 12.4 | 0.35 | 0.49 | 0.079 | 27.0 | 69.0 | 0.99940 | 3.12 | 0.75 | 10.4 | 6 | 6 |
| 2 | 6.2 | 0.51 | 0.14 | 0.056 | 15.0 | 34.0 | 0.99396 | 3.48 | 0.57 | 11.5 | 6 | 6 |
| 3 | 8.8 | 0.64 | 0.17 | 0.084 | 25.0 | 130.0 | 0.99818 | 3.23 | 0.54 | 9.6 | 5 | 5 |
| 4 | 7.4 | 0.55 | 0.19 | 0.082 | 15.0 | 34.0 | 0.99655 | 3.49 | 0.68 | 10.5 | 5 | 5 |
Confusion Matrix and Classification Report¶
In [267]:
from sklearn import metrics
strength = TestingData['Actual_Signal_Strength'].values
p = TestingData['Predicted_Signal_Strength'].values
cm_classifier=metrics.confusion_matrix(strength, p, labels=[3, 4,5,6,7,8])
cm_classifier = pd.DataFrame(cm_classifier, index = [i for i in ["3","4","5","6","7","8"]],
columns = [i for i in ["Predict 3","Predict 4","Predict 5","Predict 6","Predict 7","Predict 8"]])
plt.figure(figsize = (15,15))
sns.heatmap(cm_classifier, annot=True,cmap="Blues",fmt='g')
Out[267]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555a6c7eb0>
In [268]:
print(metrics.classification_report(strength,p))
precision recall f1-score support
5 0.80 1.00 0.89 8
6 0.75 0.60 0.67 5
7 0.00 0.00 0.00 1
accuracy 0.79 14
macro avg 0.52 0.53 0.52 14
weighted avg 0.72 0.79 0.75 14
In [269]:
accuracy_classifier = metrics.classification_report(strength, p).split()[-2]
accuracy_percentage_classifier = float(accuracy_classifier)*100
In [270]:
print('The Accuracy of the Neural Network Classifier is :',accuracy_percentage_classifier,'%')
The Accuracy of the Neural Network Classifier is : 75.0 %
Part III - Clickable GUI¶
In [148]:
import tkinter as tk
from tkinter import ttk
import pandas as pd
win = tk.Tk()
win.title('Neural Networks GUI')
# df = pd.DataFrame()
def import_file():
global df
file_name = file.get()
if '.csv' in file_name:
df = pd.read_csv(file_name)
else:
if '.pickle' in file_name:
df = pd.read_pickle(file_name)
else:
df = pd.read_excel(file_name)
var = 'Imported !'
box = tk.Entry(win,width=10,textvariable=var)
box.grid(row=0,column=5)
box.insert(1,var)
return df
# df.head()
def import_target():
global column_name,predictors,X,y
column_name = column.get()
if column_name in data.columns.to_list():
var = 'Found !'
box = tk.Entry(win,width=17,textvariable=var)
box.grid(row=4,column=5)
box.insert(1,var)
else:
var = 'Incorrect Column'
box = tk.Entry(win,width=17,textvariable=var)
box.grid(row=4,column=5)
box.insert(1,var)
### Performing the usual steps for creating the model ###
predictors = df.drop(column_name,axis=1).columns.to_list()
target = [column_name]
X = df[predictors].values
y = df[target].values
# print(X)
# ----------------------------------------------- REGRESSION -------------------------------------------------- #
def train_model_reg():
print('Regression Training in Progress.........')
global model_reg,X_train_reg, X_test_reg, y_train_reg, y_test_reg,TargetVarScalerFit
### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()
TargetVarScaler=StandardScaler()
# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X)
TargetVarScalerFit=TargetVarScaler.fit(y)
# Generating the standardized values of X and y
X_reg=PredictorScalerFit.transform(X)
y_reg=TargetVarScalerFit.transform(y)
# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train_reg, X_test_reg, y_train_reg, y_test_reg = train_test_split(X_reg, y_reg, test_size=0.3, random_state=42)
# create ANN model
model_reg = Sequential()
# Defining the first layer of the model
model_reg.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
# Defining the Second layer of the model
model_reg.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
# The output neuron is a single fully connected node
# Since we will be predicting a single number
model_reg.add(Dense(1, kernel_initializer='normal'))
# Compiling the model
model_reg.compile(loss='mean_squared_error', optimizer='adam' )
# Fitting the model
model_reg.fit(X_train,y_train,batch_size=50,epochs=100,verbose=0)
var1 = 'Trained Regressor!'
box1 = tk.Entry(win,width=17,textvariable=var1)
box1.grid(row=9,column=4)
box1.insert(1,var1)
def save_reg_model():
global model_reg_loaded
model_reg.save('model_reg.h5')
from keras.models import load_model
model_reg_loaded = load_model('model_reg.h5')
var_reg = 'Stored Regressor!'
box = tk.Entry(win,width=17,textvariable=var_reg)
box.grid(row=10,column=4)
box.insert(1,var_reg)
def reg_model_accuracy():
y_orig = TargetVarScalerFit.inverse_transform(y_test_reg)
predictions = model_reg_loaded.predict(X_test_reg)
predictions = TargetVarScalerFit.inverse_transform(predictions)
result = 100 - np.mean(np.abs(((y_orig-predictions)/(y_orig))*100))
result = round(result,2)
print('The Accuracy of the regressor is: ',result,'%')
print('########### END OF REGRESSION ###########')
var = str(result) + '%'
box = tk.Entry(win,width=10,textvariable=var)
box.grid(row=11,column=4)
box.insert(1,var)
# ------------------------------------------------ CLASSIFIER ------------------------------------------------- #
def train_model_cla():
global classifier,y_test_1_cla,accuracy_cla,df2
print('Classifier Training in Progress.........')
# After Standardization of data
# Separate Target Variable and Predictor Variables
df2 = df[:]
y = pd.get_dummies(df2,columns=[column_name])
df2 = y[:]
# TargetVariable=['Signal_Strength']
TargetVariable=['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8']
Predictors=df2.drop(['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8'],axis=1).columns.to_list()
# Predictors = signal_data.drop(['Signal_Strength'],axis=1).columns.to_list()
# TargetVariable=['Signal_Strength']
# Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()
X_cla=df2[Predictors].values
y_cla=df2[TargetVariable].values
### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()
# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X_cla)
# Generating the standardized values of X and y
X_cla=PredictorScalerFit.transform(X_cla)
# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train_cla, X_test_cla, y_train_cla, y_test_cla = train_test_split(X_cla, y_cla, test_size=0.01, random_state=6)
classifier = Sequential()
classifier.add(Dense(units=32, input_dim=10, kernel_initializer='uniform', activation='relu'))
classifier.add(Dense(units=16, kernel_initializer='uniform', activation='sigmoid'))
classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])
optimizer = optimizers.SGD(lr=0.01)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
optimizer = optimizers.SGD(lr=0.001)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
optimizer = optimizers.Adam(lr=0.01)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
classifier.fit(X_train_cla,y_train_cla,batch_size=100,epochs=200,verbose=0)
accuracy_cla = round(classifier.evaluate(X_test_cla,y_test_cla)[1]*100,2)
print(accuracy_cla,'%')
var1 = 'Trained Classifier!'
box1 = tk.Entry(win,width=17,textvariable=var1)
box1.grid(row=13,column=4)
box1.insert(1,var1)
def save_cla_model():
global model_cla_loaded
model_reg.save('model_cla.h5')
from keras.models import load_model
model_reg_loaded = load_model('model_cla.h5')
var_cla = 'Stored Classifier!'
box_cla = tk.Entry(win,width=17,textvariable=var_cla)
box_cla.grid(row=14,column=4)
box_cla.insert(1,var_cla)
def cla_model_accuracy():
print('The Accuracy of the classifier is: ',accuracy_cla,'%')
print('########### END OF CLASSIFICATION ###########')
var = str(accuracy_cla) + '%'
box = tk.Entry(win,width=10,textvariable=var)
box.grid(row=15,column=4)
box.insert(1,var)
# ----------------------------------------------- Step 1 ------------------------------------------------------ #
name = tk.Label(win,text='Step 1: Input File ')
name.grid(row=0,column=0,sticky=tk.W)
file = tk.StringVar()
box = tk.Entry(win,width=16,textvariable=file)
box.grid(row=0,column=1)
# print(file)
space = tk.Label(win,text=' ')
space.grid(row=0,column=2,sticky=tk.W)
button1 = tk.Button(win,text='Import Data',command=import_file)
button1.grid(row=0,column=3,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=0,column=4,sticky=tk.W)
# ----------------------------------------------- Step 2 ------------------------------------------------------ #
name = tk.Label(win,text='Step 2: Target Column ')
name.grid(row=4,column=0,sticky=tk.W)
column = tk.StringVar()
box = tk.Entry(win,width=16,textvariable=column)
box.grid(row=4,column=1)
# print(file)
space = tk.Label(win,text=' ')
space.grid(row=4,column=2,sticky=tk.W)
button2 = tk.Button(win,text='Select Target',command=import_target)
button2.grid(row=4,column=3,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=4,column=4,sticky=tk.W)
dashes = '-'*35
name = tk.Label(win,text=dashes)
name.grid(row=5,column=0,sticky=tk.W)
# ----------------------------------------------- Step 3 ------------------------------------------------------ #
name = tk.Label(win,text='Step 3: Neural network Regressor ')
name.grid(row=8,column=0,sticky=tk.W)
name = tk.Label(win,text='Regression ')
name.grid(row=9,column=1,sticky=tk.W)
button3 = tk.Button(win,text='Train Model',command=train_model_reg)
button3.grid(row=9,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=9,column=3,sticky=tk.W)
name = tk.Label(win,text='Save the Model ')
name.grid(row=10,column=1,sticky=tk.W)
button4 = tk.Button(win,text='Save',command=save_reg_model)
button4.grid(row=10,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=10,column=3,sticky=tk.W)
name = tk.Label(win,text='Model Accuracy ')
name.grid(row=11,column=1,sticky=tk.W)
button3 = tk.Button(win,text='Check Accuracy',command=reg_model_accuracy)
button3.grid(row=11,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=11,column=3,sticky=tk.W)
dashes = '-'*35
name = tk.Label(win,text=dashes)
name.grid(row=12,column=0,sticky=tk.W)
# ----------------------------------------------- Step 4 ------------------------------------------------------ #
name = tk.Label(win,text='Step 4: Neural Network Classifier ')
name.grid(row=13,column=0,sticky=tk.W)
name = tk.Label(win,text='Classification ')
name.grid(row=13,column=1,sticky=tk.W)
button3 = tk.Button(win,text='Train Model',command=train_model_cla)
button3.grid(row=13,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=13,column=3,sticky=tk.W)
name = tk.Label(win,text='Save the Model ')
name.grid(row=14,column=1,sticky=tk.W)
button4 = tk.Button(win,text='Save',command=save_cla_model)
button4.grid(row=14,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=14,column=3,sticky=tk.W)
name = tk.Label(win,text='Model Accuracy ')
name.grid(row=15,column=1,sticky=tk.W)
button3 = tk.Button(win,text='Check Accuracy',command=cla_model_accuracy)
button3.grid(row=15,column=2,pady = 10, padx = 10)
space = tk.Label(win,text=' ')
space.grid(row=15,column=3,sticky=tk.W)
# -------------------------------------------------------------------------------------------------------------- #
win.mainloop()
Regression Training in Progress......... The Accuracy of the regressor is: 87.01 % ########### END OF REGRESSION ########### Classifier Training in Progress......... 1/1 [==============================] - 0s 1ms/step - loss: 1.1765 - accuracy: 0.4286 42.86 % The Accuracy of the classifier is: 42.86 % ########### END OF CLASSIFICATION ###########
Image of the GUI¶
In [149]:
from IPython.display import Image
Image("GUI.png")
Out[149]:
PART IV - Image Classifier Using Neural Network Classifier¶
In [150]:
# Importing the necessary libraries
import h5py
import keras
from keras.utils.np_utils import to_categorical
from keras.layers import Activation, Dense
from keras.layers import BatchNormalization, Dropout
from keras import optimizers
In [151]:
# Accessing the Image File
image_data = h5py.File("Part - 4 - Autonomous_Vehicles_SVHN_single_grey1.h5",'r')
In [152]:
image_data.keys()
Out[152]:
<KeysViewHDF5 ['X_test', 'X_train', 'X_val', 'y_test', 'y_train', 'y_val']>
In [153]:
#Loading the training, testing, and validation data
X_train = image_data['X_train']
X_test = image_data['X_test']
X_val = image_data['X_val']
y_train = image_data['y_train']
y_test = image_data['y_test']
y_val = image_data['y_val']
In [154]:
print("Training data X-- Shape :", X_train.shape,"and Data Type : ", X_train.dtype)
print("Testing data X-- Shape :", X_test.shape,"and Data Type : ", X_test.dtype)
print("Validation data X-- Shape :", X_val.shape,"and Data Type : ", X_val.dtype)
print("Training data y-- Shape :", y_train.shape,"and Data Type : ", y_train.dtype)
print("Testing data y-- Shape :", y_test.shape,"and Data Type : ", y_test.dtype)
print("Validation data y-- Shape :", y_val.shape,"and Data Type : ", y_val.dtype)
Training data X-- Shape : (42000, 32, 32) and Data Type : float32 Testing data X-- Shape : (18000, 32, 32) and Data Type : float32 Validation data X-- Shape : (60000, 32, 32) and Data Type : float32 Training data y-- Shape : (42000,) and Data Type : uint8 Testing data y-- Shape : (18000,) and Data Type : uint8 Validation data y-- Shape : (60000,) and Data Type : uint8
In [155]:
# Plotting the images
fig=plt.figure(figsize=(15,15))
columns=10
rows=10
for i in range(1, columns*rows+1):
img=X_test[i]
fig.add_subplot(rows,columns,i)
plt.imshow(img,cmap='gray')
plt.show()
In [156]:
# visualizing the first 5 images in the dataset and their labels
%matplotlib inline
import matplotlib.pyplot as plt
plt.figure(figsize=(13, 3))
for i in range(5):
plt.subplot(1, 6, i+1)
plt.imshow(X_train[i].reshape(32,32),cmap='gray')
plt.axis('off')
plt.show()
print('The Image Lables are: %s' % (y_train[0:5]))
The Image Lables are: [2 6 7 4 4]
In [157]:
# 2D to 1D Conversion
import numpy as np
X_train = np.asarray(X_train).reshape(42000,1024)
X_test = np.asarray(X_test).reshape(18000,1024)
X_val = np.asarray(X_val).reshape(60000,1024)
In [158]:
# One-Hot Encoding
y_train = keras.utils.to_categorical(y_train, num_classes=10)
y_test = keras.utils.to_categorical(y_test, num_classes=10)
y_val = keras.utils.to_categorical(y_val, num_classes=10)
In [159]:
print(X_train.shape, X_test.shape,X_val.shape, y_train.shape, y_test.shape,y_val.shape)
(42000, 1024) (18000, 1024) (60000, 1024) (42000, 10) (18000, 10) (60000, 10)
In [160]:
from keras import Sequential
image_classifier = Sequential()
In [161]:
# Initialize the neural network classifier
image_classifier = Sequential()
# Input Layer - adding input layer and activation functions relu
image_classifier.add(Dense(256, input_shape = (1024, )))
# Adding activation function
image_classifier.add(Activation('relu'))
#Hidden Layer 1 - adding first hidden layer
image_classifier.add(Dense(128))
# Adding activation function
image_classifier.add(Activation('relu'))
#Hidden Layer 2 - Adding second hidden layer
image_classifier.add(Dense(64))
# Adding activation function
image_classifier.add(Activation('relu'))
# Output Layer - adding output layer which is of 10 nodes (digits)
image_classifier.add(Dense(10))
# Adding activation function - softmax for multiclass classification
image_classifier.add(Activation('softmax'))
In [162]:
# compiling the neural network classifier, adam optimizer
adam = optimizers.Adam(lr = 0.001)
image_classifier.compile(optimizer = adam, loss = 'categorical_crossentropy', metrics = ['accuracy'])
# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100 210/210 [==============================] - 2s 10ms/step - loss: 14.9423 - accuracy: 0.1010 - val_loss: 3.9284 - val_accuracy: 0.1028 Epoch 2/100 210/210 [==============================] - 2s 9ms/step - loss: 3.7373 - accuracy: 0.1226 - val_loss: 3.0115 - val_accuracy: 0.1320 Epoch 3/100 210/210 [==============================] - 2s 9ms/step - loss: 2.6931 - accuracy: 0.1648 - val_loss: 2.3343 - val_accuracy: 0.2063 Epoch 4/100 210/210 [==============================] - 2s 9ms/step - loss: 2.2419 - accuracy: 0.2528 - val_loss: 2.0375 - val_accuracy: 0.3186 Epoch 5/100 210/210 [==============================] - 2s 9ms/step - loss: 2.0029 - accuracy: 0.3302 - val_loss: 1.9634 - val_accuracy: 0.3609 Epoch 6/100 210/210 [==============================] - 2s 9ms/step - loss: 1.7900 - accuracy: 0.4040 - val_loss: 1.6549 - val_accuracy: 0.4430 Epoch 7/100 210/210 [==============================] - 2s 9ms/step - loss: 1.6426 - accuracy: 0.4607 - val_loss: 1.5110 - val_accuracy: 0.5166 Epoch 8/100 210/210 [==============================] - 2s 9ms/step - loss: 1.5253 - accuracy: 0.5065 - val_loss: 1.5376 - val_accuracy: 0.5160 Epoch 9/100 210/210 [==============================] - 2s 9ms/step - loss: 1.4542 - accuracy: 0.5339 - val_loss: 1.5063 - val_accuracy: 0.5229 Epoch 10/100 210/210 [==============================] - 2s 9ms/step - loss: 1.3632 - accuracy: 0.5675 - val_loss: 1.3080 - val_accuracy: 0.5939 Epoch 11/100 210/210 [==============================] - 2s 9ms/step - loss: 1.2859 - accuracy: 0.5987 - val_loss: 1.3370 - val_accuracy: 0.5904 Epoch 12/100 210/210 [==============================] - 2s 9ms/step - loss: 1.2619 - accuracy: 0.6080 - val_loss: 1.2442 - val_accuracy: 0.6015 Epoch 13/100 210/210 [==============================] - 2s 10ms/step - loss: 1.2160 - accuracy: 0.6248 - val_loss: 1.1525 - val_accuracy: 0.6474 Epoch 14/100 210/210 [==============================] - 2s 9ms/step - loss: 1.1945 - accuracy: 0.6321 - val_loss: 1.1920 - val_accuracy: 0.6376 Epoch 15/100 210/210 [==============================] - 2s 9ms/step - loss: 1.1653 - accuracy: 0.6412 - val_loss: 1.1534 - val_accuracy: 0.6471 Epoch 16/100 210/210 [==============================] - 2s 9ms/step - loss: 1.1449 - accuracy: 0.6490 - val_loss: 1.1361 - val_accuracy: 0.6461 Epoch 17/100 210/210 [==============================] - 2s 9ms/step - loss: 1.1059 - accuracy: 0.6622 - val_loss: 1.0777 - val_accuracy: 0.6721 Epoch 18/100 210/210 [==============================] - 2s 9ms/step - loss: 1.0687 - accuracy: 0.6749 - val_loss: 1.0420 - val_accuracy: 0.6780 Epoch 19/100 210/210 [==============================] - 2s 9ms/step - loss: 1.0668 - accuracy: 0.6739 - val_loss: 1.0635 - val_accuracy: 0.6750 Epoch 20/100 210/210 [==============================] - 2s 9ms/step - loss: 1.0493 - accuracy: 0.6792 - val_loss: 1.0613 - val_accuracy: 0.6806 Epoch 21/100 210/210 [==============================] - 2s 9ms/step - loss: 1.0906 - accuracy: 0.6676 - val_loss: 1.1100 - val_accuracy: 0.6555 Epoch 22/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9921 - accuracy: 0.7006 - val_loss: 0.9158 - val_accuracy: 0.7293 Epoch 23/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9722 - accuracy: 0.7070 - val_loss: 1.0156 - val_accuracy: 0.6858 Epoch 24/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9664 - accuracy: 0.7083 - val_loss: 0.9809 - val_accuracy: 0.7020 Epoch 25/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9651 - accuracy: 0.7066 - val_loss: 0.8971 - val_accuracy: 0.7278 Epoch 26/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9425 - accuracy: 0.7138 - val_loss: 1.0349 - val_accuracy: 0.6892 Epoch 27/100 210/210 [==============================] - 2s 9ms/step - loss: 0.9288 - accuracy: 0.7169 - val_loss: 0.8966 - val_accuracy: 0.7286 Epoch 28/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8955 - accuracy: 0.7282 - val_loss: 0.9356 - val_accuracy: 0.7153 Epoch 29/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8930 - accuracy: 0.7267 - val_loss: 0.8933 - val_accuracy: 0.7284 Epoch 30/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8880 - accuracy: 0.7303 - val_loss: 0.9020 - val_accuracy: 0.7285 Epoch 31/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8895 - accuracy: 0.7300 - val_loss: 0.8686 - val_accuracy: 0.7357 Epoch 32/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8686 - accuracy: 0.7348 - val_loss: 0.8299 - val_accuracy: 0.7548 Epoch 33/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8574 - accuracy: 0.7387 - val_loss: 0.8329 - val_accuracy: 0.7490 Epoch 34/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8370 - accuracy: 0.7471 - val_loss: 0.7827 - val_accuracy: 0.7643 Epoch 35/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8462 - accuracy: 0.7405 - val_loss: 0.8188 - val_accuracy: 0.7554 Epoch 36/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8281 - accuracy: 0.7477 - val_loss: 0.8506 - val_accuracy: 0.7463 Epoch 37/100 210/210 [==============================] - 2s 9ms/step - loss: 0.8162 - accuracy: 0.7512 - val_loss: 0.8297 - val_accuracy: 0.7500 Epoch 38/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7863 - accuracy: 0.7603 - val_loss: 0.7429 - val_accuracy: 0.7778 Epoch 39/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7992 - accuracy: 0.7545 - val_loss: 0.8436 - val_accuracy: 0.7503 Epoch 40/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7759 - accuracy: 0.7643 - val_loss: 0.7457 - val_accuracy: 0.7787 Epoch 41/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7681 - accuracy: 0.7637 - val_loss: 0.7880 - val_accuracy: 0.7607 Epoch 42/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7573 - accuracy: 0.7691 - val_loss: 0.7585 - val_accuracy: 0.7699 Epoch 43/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7812 - accuracy: 0.7601 - val_loss: 0.8236 - val_accuracy: 0.7506 Epoch 44/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7541 - accuracy: 0.7680 - val_loss: 0.7198 - val_accuracy: 0.7857 Epoch 45/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7488 - accuracy: 0.7701 - val_loss: 0.7792 - val_accuracy: 0.7668 Epoch 46/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7427 - accuracy: 0.7721 - val_loss: 0.7526 - val_accuracy: 0.7720 Epoch 47/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7203 - accuracy: 0.7799 - val_loss: 0.7520 - val_accuracy: 0.7735 Epoch 48/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7264 - accuracy: 0.7763 - val_loss: 0.7348 - val_accuracy: 0.7764 Epoch 49/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7405 - accuracy: 0.7741 - val_loss: 0.7274 - val_accuracy: 0.7807 Epoch 50/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7074 - accuracy: 0.7833 - val_loss: 0.6838 - val_accuracy: 0.7943 Epoch 51/100 210/210 [==============================] - 2s 9ms/step - loss: 0.7001 - accuracy: 0.7865 - val_loss: 0.6957 - val_accuracy: 0.7896 Epoch 52/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6866 - accuracy: 0.7883 - val_loss: 0.7741 - val_accuracy: 0.7624 Epoch 53/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6909 - accuracy: 0.7893 - val_loss: 0.7086 - val_accuracy: 0.7890 Epoch 54/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6778 - accuracy: 0.7903 - val_loss: 0.6608 - val_accuracy: 0.8008 Epoch 55/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6856 - accuracy: 0.7897 - val_loss: 0.7265 - val_accuracy: 0.7821 Epoch 56/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6689 - accuracy: 0.7935 - val_loss: 0.7243 - val_accuracy: 0.7816 Epoch 57/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6692 - accuracy: 0.7937 - val_loss: 0.6399 - val_accuracy: 0.8081 Epoch 58/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6566 - accuracy: 0.8003 - val_loss: 0.7551 - val_accuracy: 0.7687 Epoch 59/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6526 - accuracy: 0.7995 - val_loss: 0.6592 - val_accuracy: 0.8007 Epoch 60/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6485 - accuracy: 0.7988 - val_loss: 0.6893 - val_accuracy: 0.7941 Epoch 61/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6326 - accuracy: 0.8051 - val_loss: 0.6307 - val_accuracy: 0.8100 Epoch 62/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6357 - accuracy: 0.8028 - val_loss: 0.6426 - val_accuracy: 0.8075 Epoch 63/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6286 - accuracy: 0.8058 - val_loss: 0.6870 - val_accuracy: 0.7940 Epoch 64/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6204 - accuracy: 0.8085 - val_loss: 0.6603 - val_accuracy: 0.8004 Epoch 65/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6299 - accuracy: 0.8055 - val_loss: 0.6459 - val_accuracy: 0.8066 Epoch 66/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6280 - accuracy: 0.8077 - val_loss: 0.6234 - val_accuracy: 0.8134 Epoch 67/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6101 - accuracy: 0.8113 - val_loss: 0.6366 - val_accuracy: 0.8090 Epoch 68/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6092 - accuracy: 0.8116 - val_loss: 0.5900 - val_accuracy: 0.8223 Epoch 69/100 210/210 [==============================] - 2s 10ms/step - loss: 0.6031 - accuracy: 0.8147 - val_loss: 0.6366 - val_accuracy: 0.8074 Epoch 70/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5965 - accuracy: 0.8134 - val_loss: 0.6778 - val_accuracy: 0.7943 Epoch 71/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5922 - accuracy: 0.8178 - val_loss: 0.6773 - val_accuracy: 0.7946 Epoch 72/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5903 - accuracy: 0.8190 - val_loss: 0.6109 - val_accuracy: 0.8158 Epoch 73/100 210/210 [==============================] - 2s 9ms/step - loss: 0.6015 - accuracy: 0.8136 - val_loss: 0.6389 - val_accuracy: 0.8068 Epoch 74/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5839 - accuracy: 0.8185 - val_loss: 0.5991 - val_accuracy: 0.8198 Epoch 75/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5697 - accuracy: 0.8248 - val_loss: 0.5788 - val_accuracy: 0.8266 Epoch 76/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5860 - accuracy: 0.8174 - val_loss: 0.5774 - val_accuracy: 0.8253 Epoch 77/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5689 - accuracy: 0.8225 - val_loss: 0.6377 - val_accuracy: 0.8067 Epoch 78/100 210/210 [==============================] - 2s 10ms/step - loss: 0.5712 - accuracy: 0.8245 - val_loss: 0.6053 - val_accuracy: 0.8149 Epoch 79/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5777 - accuracy: 0.8193 - val_loss: 0.6130 - val_accuracy: 0.8149 Epoch 80/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5755 - accuracy: 0.8194 - val_loss: 0.5830 - val_accuracy: 0.8260 Epoch 81/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5649 - accuracy: 0.8255 - val_loss: 0.6095 - val_accuracy: 0.8164 Epoch 82/100 210/210 [==============================] - 2s 10ms/step - loss: 0.5636 - accuracy: 0.8265 - val_loss: 0.5833 - val_accuracy: 0.8278 Epoch 83/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5626 - accuracy: 0.8245 - val_loss: 0.6298 - val_accuracy: 0.8089 Epoch 84/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5487 - accuracy: 0.8295 - val_loss: 0.6041 - val_accuracy: 0.8177 Epoch 85/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5403 - accuracy: 0.8320 - val_loss: 0.6206 - val_accuracy: 0.8120 Epoch 86/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5583 - accuracy: 0.8265 - val_loss: 0.5710 - val_accuracy: 0.8295 Epoch 87/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5379 - accuracy: 0.8333 - val_loss: 0.5682 - val_accuracy: 0.8292 Epoch 88/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5410 - accuracy: 0.8342 - val_loss: 0.5871 - val_accuracy: 0.8256 Epoch 89/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5283 - accuracy: 0.8360 - val_loss: 0.5686 - val_accuracy: 0.8307 Epoch 90/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5417 - accuracy: 0.8305 - val_loss: 0.6001 - val_accuracy: 0.8191 Epoch 91/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5376 - accuracy: 0.8316 - val_loss: 0.5553 - val_accuracy: 0.8314 Epoch 92/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5304 - accuracy: 0.8359 - val_loss: 0.5835 - val_accuracy: 0.8250 Epoch 93/100 210/210 [==============================] - 2s 10ms/step - loss: 0.5253 - accuracy: 0.8375 - val_loss: 0.5434 - val_accuracy: 0.8396 Epoch 94/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5187 - accuracy: 0.8381 - val_loss: 0.5595 - val_accuracy: 0.8300 Epoch 95/100 210/210 [==============================] - 2s 10ms/step - loss: 0.5151 - accuracy: 0.8411 - val_loss: 0.5463 - val_accuracy: 0.8378 Epoch 96/100 210/210 [==============================] - 2s 10ms/step - loss: 0.5129 - accuracy: 0.8409 - val_loss: 0.6299 - val_accuracy: 0.8099 Epoch 97/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5222 - accuracy: 0.8358 - val_loss: 0.6003 - val_accuracy: 0.8191 Epoch 98/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5101 - accuracy: 0.8409 - val_loss: 0.5641 - val_accuracy: 0.8320 Epoch 99/100 210/210 [==============================] - 2s 9ms/step - loss: 0.4992 - accuracy: 0.8462 - val_loss: 0.5749 - val_accuracy: 0.8303 Epoch 100/100 210/210 [==============================] - 2s 9ms/step - loss: 0.5181 - accuracy: 0.8384 - val_loss: 0.5789 - val_accuracy: 0.8268
Trying to further increase the accuracy of the predictions by playing with optimizers and learning rates¶
In [163]:
# compiling the neural network classifier, SGD optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])
# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100 210/210 [==============================] - 2s 10ms/step - loss: 0.3986 - accuracy: 0.8772 - val_loss: 0.4659 - val_accuracy: 0.8659 Epoch 2/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3775 - accuracy: 0.8840 - val_loss: 0.4599 - val_accuracy: 0.8690 Epoch 3/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3718 - accuracy: 0.8856 - val_loss: 0.4571 - val_accuracy: 0.8699 Epoch 4/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3684 - accuracy: 0.8876 - val_loss: 0.4565 - val_accuracy: 0.8701 Epoch 5/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3662 - accuracy: 0.8891 - val_loss: 0.4561 - val_accuracy: 0.8712 Epoch 6/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3639 - accuracy: 0.8894 - val_loss: 0.4575 - val_accuracy: 0.8700 Epoch 7/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3627 - accuracy: 0.8890 - val_loss: 0.4540 - val_accuracy: 0.8720 Epoch 8/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3610 - accuracy: 0.8904 - val_loss: 0.4536 - val_accuracy: 0.8716 Epoch 9/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3599 - accuracy: 0.8909 - val_loss: 0.4529 - val_accuracy: 0.8723 Epoch 10/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3584 - accuracy: 0.8908 - val_loss: 0.4512 - val_accuracy: 0.8724 Epoch 11/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3571 - accuracy: 0.8907 - val_loss: 0.4514 - val_accuracy: 0.8726 Epoch 12/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3561 - accuracy: 0.8915 - val_loss: 0.4511 - val_accuracy: 0.8723 Epoch 13/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3554 - accuracy: 0.8917 - val_loss: 0.4505 - val_accuracy: 0.8734 Epoch 14/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3543 - accuracy: 0.8923 - val_loss: 0.4497 - val_accuracy: 0.8741 Epoch 15/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3535 - accuracy: 0.8917 - val_loss: 0.4492 - val_accuracy: 0.8740 Epoch 16/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3527 - accuracy: 0.8925 - val_loss: 0.4506 - val_accuracy: 0.8737 Epoch 17/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3520 - accuracy: 0.8938 - val_loss: 0.4511 - val_accuracy: 0.8726 Epoch 18/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3512 - accuracy: 0.8923 - val_loss: 0.4488 - val_accuracy: 0.8742 Epoch 19/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3508 - accuracy: 0.8933 - val_loss: 0.4486 - val_accuracy: 0.8744 Epoch 20/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3492 - accuracy: 0.8935 - val_loss: 0.4492 - val_accuracy: 0.8752 Epoch 21/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3488 - accuracy: 0.8931 - val_loss: 0.4495 - val_accuracy: 0.8743 Epoch 22/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3487 - accuracy: 0.8929 - val_loss: 0.4487 - val_accuracy: 0.8745 Epoch 23/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3481 - accuracy: 0.8945 - val_loss: 0.4487 - val_accuracy: 0.8747 Epoch 24/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3476 - accuracy: 0.8930 - val_loss: 0.4481 - val_accuracy: 0.8749 Epoch 25/100 210/210 [==============================] - 2s 9ms/step - loss: 0.3470 - accuracy: 0.8942 - val_loss: 0.4486 - val_accuracy: 0.8750 Epoch 26/100 210/210 [==============================] - 4s 17ms/step - loss: 0.3462 - accuracy: 0.8942 - val_loss: 0.4484 - val_accuracy: 0.8746 Epoch 27/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3455 - accuracy: 0.8939 - val_loss: 0.4479 - val_accuracy: 0.8751 Epoch 28/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3448 - accuracy: 0.8951 - val_loss: 0.4475 - val_accuracy: 0.8756 Epoch 29/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3445 - accuracy: 0.8952 - val_loss: 0.4498 - val_accuracy: 0.8754 Epoch 30/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3441 - accuracy: 0.8955 - val_loss: 0.4475 - val_accuracy: 0.8752 Epoch 31/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3435 - accuracy: 0.8957 - val_loss: 0.4478 - val_accuracy: 0.8759 Epoch 32/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3430 - accuracy: 0.8951 - val_loss: 0.4474 - val_accuracy: 0.8754 Epoch 33/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3424 - accuracy: 0.8955 - val_loss: 0.4481 - val_accuracy: 0.8759 Epoch 34/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3422 - accuracy: 0.8959 - val_loss: 0.4478 - val_accuracy: 0.8762 Epoch 35/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3415 - accuracy: 0.8952 - val_loss: 0.4477 - val_accuracy: 0.8755 Epoch 36/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3414 - accuracy: 0.8965 - val_loss: 0.4462 - val_accuracy: 0.8759 Epoch 37/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3405 - accuracy: 0.8965 - val_loss: 0.4475 - val_accuracy: 0.8763 Epoch 38/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3404 - accuracy: 0.8972 - val_loss: 0.4473 - val_accuracy: 0.8757 Epoch 39/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3402 - accuracy: 0.8970 - val_loss: 0.4459 - val_accuracy: 0.8762 Epoch 40/100 210/210 [==============================] - 2s 12ms/step - loss: 0.3393 - accuracy: 0.8963 - val_loss: 0.4476 - val_accuracy: 0.8766 Epoch 41/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3389 - accuracy: 0.8969 - val_loss: 0.4467 - val_accuracy: 0.8762 Epoch 42/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3384 - accuracy: 0.8965 - val_loss: 0.4476 - val_accuracy: 0.8766 Epoch 43/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3383 - accuracy: 0.8963 - val_loss: 0.4452 - val_accuracy: 0.8767 Epoch 44/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3377 - accuracy: 0.8974 - val_loss: 0.4470 - val_accuracy: 0.8767 Epoch 45/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3382 - accuracy: 0.8972 - val_loss: 0.4454 - val_accuracy: 0.8775 Epoch 46/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3373 - accuracy: 0.8973 - val_loss: 0.4467 - val_accuracy: 0.8770 Epoch 47/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3368 - accuracy: 0.8978 - val_loss: 0.4476 - val_accuracy: 0.8760 Epoch 48/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3364 - accuracy: 0.8972 - val_loss: 0.4462 - val_accuracy: 0.8772 Epoch 49/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3364 - accuracy: 0.8979 - val_loss: 0.4458 - val_accuracy: 0.8769 Epoch 50/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3356 - accuracy: 0.8973 - val_loss: 0.4462 - val_accuracy: 0.8771 Epoch 51/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3354 - accuracy: 0.8974 - val_loss: 0.4475 - val_accuracy: 0.8766 Epoch 52/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3351 - accuracy: 0.8979 - val_loss: 0.4458 - val_accuracy: 0.8773 Epoch 53/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3349 - accuracy: 0.8976 - val_loss: 0.4455 - val_accuracy: 0.8774 Epoch 54/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3341 - accuracy: 0.8989 - val_loss: 0.4476 - val_accuracy: 0.8770 Epoch 55/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3338 - accuracy: 0.8976 - val_loss: 0.4472 - val_accuracy: 0.8764 Epoch 56/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3341 - accuracy: 0.8971 - val_loss: 0.4466 - val_accuracy: 0.8760 Epoch 57/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3338 - accuracy: 0.8989 - val_loss: 0.4466 - val_accuracy: 0.8777 Epoch 58/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3329 - accuracy: 0.8985 - val_loss: 0.4459 - val_accuracy: 0.8781 Epoch 59/100 210/210 [==============================] - 2s 11ms/step - loss: 0.3329 - accuracy: 0.8985 - val_loss: 0.4457 - val_accuracy: 0.8777 Epoch 60/100 210/210 [==============================] - 2s 12ms/step - loss: 0.3325 - accuracy: 0.8987 - val_loss: 0.4452 - val_accuracy: 0.8777 Epoch 61/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3322 - accuracy: 0.8993 - val_loss: 0.4455 - val_accuracy: 0.8778 Epoch 62/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3320 - accuracy: 0.8986 - val_loss: 0.4451 - val_accuracy: 0.8782 Epoch 63/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3319 - accuracy: 0.8988 - val_loss: 0.4461 - val_accuracy: 0.8779 Epoch 64/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3315 - accuracy: 0.8984 - val_loss: 0.4445 - val_accuracy: 0.8784 Epoch 65/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3310 - accuracy: 0.8998 - val_loss: 0.4451 - val_accuracy: 0.8777 Epoch 66/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3310 - accuracy: 0.8991 - val_loss: 0.4464 - val_accuracy: 0.8775 Epoch 67/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3301 - accuracy: 0.8998 - val_loss: 0.4454 - val_accuracy: 0.8777 Epoch 68/100 210/210 [==============================] - 2s 11ms/step - loss: 0.3303 - accuracy: 0.8996 - val_loss: 0.4444 - val_accuracy: 0.8784 Epoch 69/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3297 - accuracy: 0.8996 - val_loss: 0.4442 - val_accuracy: 0.8787 Epoch 70/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3295 - accuracy: 0.8995 - val_loss: 0.4453 - val_accuracy: 0.8782 Epoch 71/100 210/210 [==============================] - 2s 11ms/step - loss: 0.3294 - accuracy: 0.9004 - val_loss: 0.4456 - val_accuracy: 0.8784 Epoch 72/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3288 - accuracy: 0.8999 - val_loss: 0.4454 - val_accuracy: 0.8783 Epoch 73/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3286 - accuracy: 0.8999 - val_loss: 0.4456 - val_accuracy: 0.8784 Epoch 74/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3284 - accuracy: 0.8997 - val_loss: 0.4457 - val_accuracy: 0.8787 Epoch 75/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3279 - accuracy: 0.8997 - val_loss: 0.4443 - val_accuracy: 0.8792 Epoch 76/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3275 - accuracy: 0.9005 - val_loss: 0.4457 - val_accuracy: 0.8781 Epoch 77/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3279 - accuracy: 0.8992 - val_loss: 0.4457 - val_accuracy: 0.8785 Epoch 78/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3274 - accuracy: 0.9002 - val_loss: 0.4451 - val_accuracy: 0.8789 Epoch 79/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3273 - accuracy: 0.9005 - val_loss: 0.4446 - val_accuracy: 0.8791 Epoch 80/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3267 - accuracy: 0.9001 - val_loss: 0.4461 - val_accuracy: 0.8788 Epoch 81/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3267 - accuracy: 0.9009 - val_loss: 0.4449 - val_accuracy: 0.8782 Epoch 82/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3264 - accuracy: 0.9007 - val_loss: 0.4452 - val_accuracy: 0.8790 Epoch 83/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3259 - accuracy: 0.9014 - val_loss: 0.4457 - val_accuracy: 0.8791 Epoch 84/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3258 - accuracy: 0.9009 - val_loss: 0.4442 - val_accuracy: 0.8794 Epoch 85/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3257 - accuracy: 0.9006 - val_loss: 0.4462 - val_accuracy: 0.8787 Epoch 86/100 210/210 [==============================] - 3s 15ms/step - loss: 0.3249 - accuracy: 0.9016 - val_loss: 0.4432 - val_accuracy: 0.8798 Epoch 87/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3248 - accuracy: 0.9013 - val_loss: 0.4445 - val_accuracy: 0.8792 Epoch 88/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3248 - accuracy: 0.9007 - val_loss: 0.4445 - val_accuracy: 0.8788 Epoch 89/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3243 - accuracy: 0.9013 - val_loss: 0.4463 - val_accuracy: 0.8784 Epoch 90/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3241 - accuracy: 0.9012 - val_loss: 0.4433 - val_accuracy: 0.8793 Epoch 91/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3240 - accuracy: 0.9011 - val_loss: 0.4452 - val_accuracy: 0.8800 Epoch 92/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3236 - accuracy: 0.9015 - val_loss: 0.4443 - val_accuracy: 0.8799 Epoch 93/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3236 - accuracy: 0.9006 - val_loss: 0.4449 - val_accuracy: 0.8792 Epoch 94/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3232 - accuracy: 0.9009 - val_loss: 0.4457 - val_accuracy: 0.8794 Epoch 95/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3233 - accuracy: 0.9018 - val_loss: 0.4443 - val_accuracy: 0.8802 Epoch 96/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3227 - accuracy: 0.9019 - val_loss: 0.4435 - val_accuracy: 0.8798 Epoch 97/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3224 - accuracy: 0.9019 - val_loss: 0.4430 - val_accuracy: 0.8795 Epoch 98/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3225 - accuracy: 0.9009 - val_loss: 0.4455 - val_accuracy: 0.8790 Epoch 99/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3222 - accuracy: 0.9020 - val_loss: 0.4429 - val_accuracy: 0.8808 Epoch 100/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3218 - accuracy: 0.9017 - val_loss: 0.4464 - val_accuracy: 0.8787
In [164]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])
# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3217 - accuracy: 0.9019 - val_loss: 0.4447 - val_accuracy: 0.8794 Epoch 2/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3215 - accuracy: 0.9021 - val_loss: 0.4434 - val_accuracy: 0.8808 Epoch 3/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3214 - accuracy: 0.9024 - val_loss: 0.4461 - val_accuracy: 0.8791 Epoch 4/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3212 - accuracy: 0.9023 - val_loss: 0.4443 - val_accuracy: 0.8798 Epoch 5/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3207 - accuracy: 0.9013 - val_loss: 0.4446 - val_accuracy: 0.8800 Epoch 6/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3207 - accuracy: 0.9030 - val_loss: 0.4438 - val_accuracy: 0.8795 Epoch 7/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3205 - accuracy: 0.9024 - val_loss: 0.4457 - val_accuracy: 0.8795 Epoch 8/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3202 - accuracy: 0.9028 - val_loss: 0.4446 - val_accuracy: 0.8804 Epoch 9/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3204 - accuracy: 0.9021 - val_loss: 0.4445 - val_accuracy: 0.8796 Epoch 10/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3194 - accuracy: 0.9037 - val_loss: 0.4445 - val_accuracy: 0.8796 Epoch 11/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3197 - accuracy: 0.9029 - val_loss: 0.4437 - val_accuracy: 0.8813 Epoch 12/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3192 - accuracy: 0.9031 - val_loss: 0.4450 - val_accuracy: 0.8799 Epoch 13/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3191 - accuracy: 0.9025 - val_loss: 0.4448 - val_accuracy: 0.8796 Epoch 14/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3190 - accuracy: 0.9031 - val_loss: 0.4471 - val_accuracy: 0.8796 Epoch 15/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3189 - accuracy: 0.9028 - val_loss: 0.4449 - val_accuracy: 0.8796 Epoch 16/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3184 - accuracy: 0.9026 - val_loss: 0.4461 - val_accuracy: 0.8799 Epoch 17/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3182 - accuracy: 0.9039 - val_loss: 0.4450 - val_accuracy: 0.8802 Epoch 18/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3181 - accuracy: 0.9030 - val_loss: 0.4438 - val_accuracy: 0.8802 Epoch 19/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3174 - accuracy: 0.9035 - val_loss: 0.4444 - val_accuracy: 0.8804 Epoch 20/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3178 - accuracy: 0.9030 - val_loss: 0.4455 - val_accuracy: 0.8808 Epoch 21/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3175 - accuracy: 0.9027 - val_loss: 0.4438 - val_accuracy: 0.8807 Epoch 22/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3171 - accuracy: 0.9035 - val_loss: 0.4448 - val_accuracy: 0.8808 Epoch 23/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3174 - accuracy: 0.9035 - val_loss: 0.4429 - val_accuracy: 0.8817 Epoch 24/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3165 - accuracy: 0.9045 - val_loss: 0.4438 - val_accuracy: 0.8802 Epoch 25/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3165 - accuracy: 0.9031 - val_loss: 0.4439 - val_accuracy: 0.8807 Epoch 26/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3162 - accuracy: 0.9038 - val_loss: 0.4466 - val_accuracy: 0.8795 Epoch 27/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9039 - val_loss: 0.4438 - val_accuracy: 0.8812 Epoch 28/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9048 - val_loss: 0.4440 - val_accuracy: 0.8810 Epoch 29/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9035 - val_loss: 0.4469 - val_accuracy: 0.8806 Epoch 30/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3155 - accuracy: 0.9028 - val_loss: 0.4440 - val_accuracy: 0.8806 Epoch 31/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3152 - accuracy: 0.9034 - val_loss: 0.4449 - val_accuracy: 0.8808 Epoch 32/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9037 - val_loss: 0.4438 - val_accuracy: 0.8813 Epoch 33/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3149 - accuracy: 0.9042 - val_loss: 0.4430 - val_accuracy: 0.8817 Epoch 34/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9040 - val_loss: 0.4442 - val_accuracy: 0.8805 Epoch 35/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9041 - val_loss: 0.4446 - val_accuracy: 0.8816 Epoch 36/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3143 - accuracy: 0.9039 - val_loss: 0.4446 - val_accuracy: 0.8799 Epoch 37/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3141 - accuracy: 0.9051 - val_loss: 0.4440 - val_accuracy: 0.8809 Epoch 38/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3142 - accuracy: 0.9036 - val_loss: 0.4437 - val_accuracy: 0.8814 Epoch 39/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3135 - accuracy: 0.9049 - val_loss: 0.4465 - val_accuracy: 0.8799 Epoch 40/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3136 - accuracy: 0.9043 - val_loss: 0.4457 - val_accuracy: 0.8808 Epoch 41/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3134 - accuracy: 0.9042 - val_loss: 0.4445 - val_accuracy: 0.8815 Epoch 42/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3129 - accuracy: 0.9053 - val_loss: 0.4449 - val_accuracy: 0.8810 Epoch 43/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3132 - accuracy: 0.9045 - val_loss: 0.4448 - val_accuracy: 0.8811 Epoch 44/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3130 - accuracy: 0.9041 - val_loss: 0.4442 - val_accuracy: 0.8808 Epoch 45/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3128 - accuracy: 0.9047 - val_loss: 0.4466 - val_accuracy: 0.8811 Epoch 46/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3124 - accuracy: 0.9049 - val_loss: 0.4440 - val_accuracy: 0.8812 Epoch 47/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3125 - accuracy: 0.9051 - val_loss: 0.4449 - val_accuracy: 0.8814 Epoch 48/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3124 - accuracy: 0.9045 - val_loss: 0.4446 - val_accuracy: 0.8813 Epoch 49/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3119 - accuracy: 0.9047 - val_loss: 0.4430 - val_accuracy: 0.8824 Epoch 50/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3115 - accuracy: 0.9049 - val_loss: 0.4439 - val_accuracy: 0.8820 Epoch 51/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3114 - accuracy: 0.9047 - val_loss: 0.4439 - val_accuracy: 0.8813 Epoch 52/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3117 - accuracy: 0.9050 - val_loss: 0.4452 - val_accuracy: 0.8817 Epoch 53/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3110 - accuracy: 0.9052 - val_loss: 0.4454 - val_accuracy: 0.8808 Epoch 54/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3108 - accuracy: 0.9048 - val_loss: 0.4445 - val_accuracy: 0.8816 Epoch 55/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3108 - accuracy: 0.9052 - val_loss: 0.4443 - val_accuracy: 0.8813 Epoch 56/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3104 - accuracy: 0.9047 - val_loss: 0.4458 - val_accuracy: 0.8813 Epoch 57/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3103 - accuracy: 0.9049 - val_loss: 0.4463 - val_accuracy: 0.8809 Epoch 58/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3104 - accuracy: 0.9048 - val_loss: 0.4443 - val_accuracy: 0.8816 Epoch 59/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3098 - accuracy: 0.9055 - val_loss: 0.4464 - val_accuracy: 0.8814 Epoch 60/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3097 - accuracy: 0.9055 - val_loss: 0.4474 - val_accuracy: 0.8804 Epoch 61/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3099 - accuracy: 0.9059 - val_loss: 0.4475 - val_accuracy: 0.8806 Epoch 62/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3094 - accuracy: 0.9054 - val_loss: 0.4467 - val_accuracy: 0.8806 Epoch 63/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3090 - accuracy: 0.9063 - val_loss: 0.4432 - val_accuracy: 0.8822 Epoch 64/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3094 - accuracy: 0.9052 - val_loss: 0.4453 - val_accuracy: 0.8825 Epoch 65/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3090 - accuracy: 0.9055 - val_loss: 0.4453 - val_accuracy: 0.8820 Epoch 66/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3088 - accuracy: 0.9058 - val_loss: 0.4493 - val_accuracy: 0.8811 Epoch 67/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3086 - accuracy: 0.9066 - val_loss: 0.4447 - val_accuracy: 0.8813 Epoch 68/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3085 - accuracy: 0.9050 - val_loss: 0.4441 - val_accuracy: 0.8830 Epoch 69/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3085 - accuracy: 0.9061 - val_loss: 0.4440 - val_accuracy: 0.8819 Epoch 70/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9056 - val_loss: 0.4470 - val_accuracy: 0.8813 Epoch 71/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9069 - val_loss: 0.4459 - val_accuracy: 0.8819 Epoch 72/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9055 - val_loss: 0.4465 - val_accuracy: 0.8820 Epoch 73/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3076 - accuracy: 0.9062 - val_loss: 0.4464 - val_accuracy: 0.8813 Epoch 74/100 210/210 [==============================] - 3s 15ms/step - loss: 0.3077 - accuracy: 0.9057 - val_loss: 0.4453 - val_accuracy: 0.8822 Epoch 75/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3068 - accuracy: 0.9072 - val_loss: 0.4462 - val_accuracy: 0.8822 Epoch 76/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3067 - accuracy: 0.9061 - val_loss: 0.4452 - val_accuracy: 0.8822 Epoch 77/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3070 - accuracy: 0.9065 - val_loss: 0.4458 - val_accuracy: 0.8816 Epoch 78/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3068 - accuracy: 0.9060 - val_loss: 0.4446 - val_accuracy: 0.8828 Epoch 79/100 210/210 [==============================] - 3s 12ms/step - loss: 0.3065 - accuracy: 0.9065 - val_loss: 0.4457 - val_accuracy: 0.8820 Epoch 80/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3059 - accuracy: 0.9066 - val_loss: 0.4456 - val_accuracy: 0.8825 Epoch 81/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3060 - accuracy: 0.9066 - val_loss: 0.4467 - val_accuracy: 0.8826 Epoch 82/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3059 - accuracy: 0.9069 - val_loss: 0.4466 - val_accuracy: 0.8818 Epoch 83/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3054 - accuracy: 0.9070 - val_loss: 0.4462 - val_accuracy: 0.8821 Epoch 84/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3061 - accuracy: 0.9064 - val_loss: 0.4462 - val_accuracy: 0.8817 Epoch 85/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3055 - accuracy: 0.9069 - val_loss: 0.4463 - val_accuracy: 0.8812 Epoch 86/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3053 - accuracy: 0.9070 - val_loss: 0.4458 - val_accuracy: 0.8826 Epoch 87/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3050 - accuracy: 0.9070 - val_loss: 0.4460 - val_accuracy: 0.8820 Epoch 88/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3049 - accuracy: 0.9067 - val_loss: 0.4460 - val_accuracy: 0.8831 Epoch 89/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3048 - accuracy: 0.9075 - val_loss: 0.4456 - val_accuracy: 0.8827 Epoch 90/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3047 - accuracy: 0.9063 - val_loss: 0.4461 - val_accuracy: 0.8823 Epoch 91/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3043 - accuracy: 0.9071 - val_loss: 0.4457 - val_accuracy: 0.8824 Epoch 92/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3046 - accuracy: 0.9070 - val_loss: 0.4470 - val_accuracy: 0.8816 Epoch 93/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3047 - accuracy: 0.9072 - val_loss: 0.4447 - val_accuracy: 0.8827 Epoch 94/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3039 - accuracy: 0.9064 - val_loss: 0.4453 - val_accuracy: 0.8833 Epoch 95/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3038 - accuracy: 0.9079 - val_loss: 0.4463 - val_accuracy: 0.8821 Epoch 96/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3040 - accuracy: 0.9069 - val_loss: 0.4448 - val_accuracy: 0.8834 Epoch 97/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3034 - accuracy: 0.9077 - val_loss: 0.4456 - val_accuracy: 0.8832 Epoch 98/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3031 - accuracy: 0.9080 - val_loss: 0.4468 - val_accuracy: 0.8823 Epoch 99/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3035 - accuracy: 0.9075 - val_loss: 0.4464 - val_accuracy: 0.8833 Epoch 100/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3031 - accuracy: 0.9080 - val_loss: 0.4470 - val_accuracy: 0.8835
In [165]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])
# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3027 - accuracy: 0.9086 - val_loss: 0.4476 - val_accuracy: 0.8835 Epoch 2/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3024 - accuracy: 0.9085 - val_loss: 0.4467 - val_accuracy: 0.8824 Epoch 3/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3024 - accuracy: 0.9075 - val_loss: 0.4457 - val_accuracy: 0.8826 Epoch 4/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3023 - accuracy: 0.9079 - val_loss: 0.4480 - val_accuracy: 0.8824 Epoch 5/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3022 - accuracy: 0.9084 - val_loss: 0.4464 - val_accuracy: 0.8826 Epoch 6/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3023 - accuracy: 0.9076 - val_loss: 0.4490 - val_accuracy: 0.8823 Epoch 7/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3021 - accuracy: 0.9076 - val_loss: 0.4455 - val_accuracy: 0.8834 Epoch 8/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3016 - accuracy: 0.9080 - val_loss: 0.4482 - val_accuracy: 0.8826 Epoch 9/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3017 - accuracy: 0.9084 - val_loss: 0.4484 - val_accuracy: 0.8826 Epoch 10/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3020 - accuracy: 0.9083 - val_loss: 0.4456 - val_accuracy: 0.8836 Epoch 11/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3014 - accuracy: 0.9076 - val_loss: 0.4458 - val_accuracy: 0.8837 Epoch 12/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3011 - accuracy: 0.9076 - val_loss: 0.4478 - val_accuracy: 0.8828 Epoch 13/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3011 - accuracy: 0.9082 - val_loss: 0.4454 - val_accuracy: 0.8840 Epoch 14/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3014 - accuracy: 0.9083 - val_loss: 0.4455 - val_accuracy: 0.8837 Epoch 15/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3007 - accuracy: 0.9084 - val_loss: 0.4488 - val_accuracy: 0.8822 Epoch 16/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3003 - accuracy: 0.9082 - val_loss: 0.4513 - val_accuracy: 0.8824 Epoch 17/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3007 - accuracy: 0.9085 - val_loss: 0.4457 - val_accuracy: 0.8836 Epoch 18/100 210/210 [==============================] - 3s 14ms/step - loss: 0.3002 - accuracy: 0.9085 - val_loss: 0.4457 - val_accuracy: 0.8835 Epoch 19/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9091 - val_loss: 0.4462 - val_accuracy: 0.8832 Epoch 20/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9087 - val_loss: 0.4455 - val_accuracy: 0.8834 Epoch 21/100 210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9088 - val_loss: 0.4461 - val_accuracy: 0.8834 Epoch 22/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2997 - accuracy: 0.9090 - val_loss: 0.4491 - val_accuracy: 0.8824 Epoch 23/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2996 - accuracy: 0.9092 - val_loss: 0.4464 - val_accuracy: 0.8830 Epoch 24/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9080 - val_loss: 0.4482 - val_accuracy: 0.8829 Epoch 25/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9087 - val_loss: 0.4457 - val_accuracy: 0.8845 Epoch 26/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9091 - val_loss: 0.4456 - val_accuracy: 0.8844 Epoch 27/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2987 - accuracy: 0.9087 - val_loss: 0.4461 - val_accuracy: 0.8840 Epoch 28/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2988 - accuracy: 0.9081 - val_loss: 0.4472 - val_accuracy: 0.8838 Epoch 29/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2989 - accuracy: 0.9093 - val_loss: 0.4463 - val_accuracy: 0.8840 Epoch 30/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2982 - accuracy: 0.9094 - val_loss: 0.4460 - val_accuracy: 0.8837 Epoch 31/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2984 - accuracy: 0.9082 - val_loss: 0.4472 - val_accuracy: 0.8835 Epoch 32/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2980 - accuracy: 0.9093 - val_loss: 0.4468 - val_accuracy: 0.8844 Epoch 33/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2979 - accuracy: 0.9096 - val_loss: 0.4474 - val_accuracy: 0.8842 Epoch 34/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2977 - accuracy: 0.9100 - val_loss: 0.4454 - val_accuracy: 0.8843 Epoch 35/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2977 - accuracy: 0.9095 - val_loss: 0.4493 - val_accuracy: 0.8833 Epoch 36/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2975 - accuracy: 0.9097 - val_loss: 0.4459 - val_accuracy: 0.8838 Epoch 37/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2976 - accuracy: 0.9093 - val_loss: 0.4473 - val_accuracy: 0.8841 Epoch 38/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2970 - accuracy: 0.9093 - val_loss: 0.4466 - val_accuracy: 0.8837 Epoch 39/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2972 - accuracy: 0.9088 - val_loss: 0.4480 - val_accuracy: 0.8831 Epoch 40/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2973 - accuracy: 0.9098 - val_loss: 0.4465 - val_accuracy: 0.8842 Epoch 41/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2968 - accuracy: 0.9103 - val_loss: 0.4489 - val_accuracy: 0.8827 Epoch 42/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2968 - accuracy: 0.9091 - val_loss: 0.4468 - val_accuracy: 0.8842 Epoch 43/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2966 - accuracy: 0.9097 - val_loss: 0.4467 - val_accuracy: 0.8839 Epoch 44/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2964 - accuracy: 0.9092 - val_loss: 0.4492 - val_accuracy: 0.8825 Epoch 45/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2962 - accuracy: 0.9102 - val_loss: 0.4506 - val_accuracy: 0.8826 Epoch 46/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2963 - accuracy: 0.9091 - val_loss: 0.4464 - val_accuracy: 0.8844 Epoch 47/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2963 - accuracy: 0.9091 - val_loss: 0.4464 - val_accuracy: 0.8844 Epoch 48/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2965 - accuracy: 0.9094 - val_loss: 0.4464 - val_accuracy: 0.8850 Epoch 49/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2957 - accuracy: 0.9095 - val_loss: 0.4471 - val_accuracy: 0.8840 Epoch 50/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2951 - accuracy: 0.9101 - val_loss: 0.4508 - val_accuracy: 0.8834 Epoch 51/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2957 - accuracy: 0.9105 - val_loss: 0.4453 - val_accuracy: 0.8843 Epoch 52/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2954 - accuracy: 0.9102 - val_loss: 0.4494 - val_accuracy: 0.8832 Epoch 53/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2950 - accuracy: 0.9100 - val_loss: 0.4484 - val_accuracy: 0.8834 Epoch 54/100 210/210 [==============================] - 3s 12ms/step - loss: 0.2954 - accuracy: 0.9098 - val_loss: 0.4481 - val_accuracy: 0.8845 Epoch 55/100 210/210 [==============================] - 3s 12ms/step - loss: 0.2944 - accuracy: 0.9107 - val_loss: 0.4468 - val_accuracy: 0.8846 Epoch 56/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2951 - accuracy: 0.9099 - val_loss: 0.4466 - val_accuracy: 0.8847 Epoch 57/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2942 - accuracy: 0.9102 - val_loss: 0.4474 - val_accuracy: 0.8849 Epoch 58/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2941 - accuracy: 0.9107 - val_loss: 0.4515 - val_accuracy: 0.8829 Epoch 59/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2946 - accuracy: 0.9101 - val_loss: 0.4474 - val_accuracy: 0.8844 Epoch 60/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2940 - accuracy: 0.9106 - val_loss: 0.4478 - val_accuracy: 0.8849 Epoch 61/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2942 - accuracy: 0.9104 - val_loss: 0.4472 - val_accuracy: 0.8842 Epoch 62/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2942 - accuracy: 0.9107 - val_loss: 0.4483 - val_accuracy: 0.8840 Epoch 63/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2934 - accuracy: 0.9102 - val_loss: 0.4493 - val_accuracy: 0.8834 Epoch 64/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2936 - accuracy: 0.9111 - val_loss: 0.4488 - val_accuracy: 0.8838 Epoch 65/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2936 - accuracy: 0.9109 - val_loss: 0.4497 - val_accuracy: 0.8837 Epoch 66/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2934 - accuracy: 0.9099 - val_loss: 0.4496 - val_accuracy: 0.8845 Epoch 67/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9113 - val_loss: 0.4486 - val_accuracy: 0.8844 Epoch 68/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2929 - accuracy: 0.9110 - val_loss: 0.4512 - val_accuracy: 0.8838 Epoch 69/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9112 - val_loss: 0.4479 - val_accuracy: 0.8850 Epoch 70/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9112 - val_loss: 0.4494 - val_accuracy: 0.8840 Epoch 71/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2927 - accuracy: 0.9103 - val_loss: 0.4477 - val_accuracy: 0.8849 Epoch 72/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2923 - accuracy: 0.9110 - val_loss: 0.4506 - val_accuracy: 0.8838 Epoch 73/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2923 - accuracy: 0.9116 - val_loss: 0.4485 - val_accuracy: 0.8846 Epoch 74/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2926 - accuracy: 0.9109 - val_loss: 0.4488 - val_accuracy: 0.8847 Epoch 75/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2917 - accuracy: 0.9114 - val_loss: 0.4480 - val_accuracy: 0.8847 Epoch 76/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2916 - accuracy: 0.9110 - val_loss: 0.4487 - val_accuracy: 0.8846 Epoch 77/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2919 - accuracy: 0.9106 - val_loss: 0.4488 - val_accuracy: 0.8854 Epoch 78/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2919 - accuracy: 0.9110 - val_loss: 0.4485 - val_accuracy: 0.8849 Epoch 79/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2916 - accuracy: 0.9113 - val_loss: 0.4478 - val_accuracy: 0.8854 Epoch 80/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2918 - accuracy: 0.9117 - val_loss: 0.4478 - val_accuracy: 0.8841 Epoch 81/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2915 - accuracy: 0.9112 - val_loss: 0.4479 - val_accuracy: 0.8855 Epoch 82/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2910 - accuracy: 0.9106 - val_loss: 0.4507 - val_accuracy: 0.8845 Epoch 83/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2913 - accuracy: 0.9118 - val_loss: 0.4474 - val_accuracy: 0.8852 Epoch 84/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2908 - accuracy: 0.9111 - val_loss: 0.4480 - val_accuracy: 0.8848 Epoch 85/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2910 - accuracy: 0.9115 - val_loss: 0.4482 - val_accuracy: 0.8854 Epoch 86/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2905 - accuracy: 0.9123 - val_loss: 0.4485 - val_accuracy: 0.8849 Epoch 87/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9110 - val_loss: 0.4521 - val_accuracy: 0.8839 Epoch 88/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2903 - accuracy: 0.9117 - val_loss: 0.4472 - val_accuracy: 0.8863 Epoch 89/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9119 - val_loss: 0.4477 - val_accuracy: 0.8858 Epoch 90/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9119 - val_loss: 0.4497 - val_accuracy: 0.8844 Epoch 91/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9113 - val_loss: 0.4491 - val_accuracy: 0.8849 Epoch 92/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9118 - val_loss: 0.4503 - val_accuracy: 0.8843 Epoch 93/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2903 - accuracy: 0.9115 - val_loss: 0.4523 - val_accuracy: 0.8838 Epoch 94/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2896 - accuracy: 0.9120 - val_loss: 0.4497 - val_accuracy: 0.8855 Epoch 95/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2895 - accuracy: 0.9119 - val_loss: 0.4507 - val_accuracy: 0.8844 Epoch 96/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9117 - val_loss: 0.4488 - val_accuracy: 0.8843 Epoch 97/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2893 - accuracy: 0.9120 - val_loss: 0.4487 - val_accuracy: 0.8852 Epoch 98/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2892 - accuracy: 0.9118 - val_loss: 0.4483 - val_accuracy: 0.8852 Epoch 99/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2895 - accuracy: 0.9116 - val_loss: 0.4490 - val_accuracy: 0.8856 Epoch 100/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2887 - accuracy: 0.9124 - val_loss: 0.4494 - val_accuracy: 0.8850
In [166]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])
# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2885 - accuracy: 0.9122 - val_loss: 0.4495 - val_accuracy: 0.8852 Epoch 2/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2887 - accuracy: 0.9124 - val_loss: 0.4498 - val_accuracy: 0.8854 Epoch 3/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2886 - accuracy: 0.9117 - val_loss: 0.4497 - val_accuracy: 0.8852 Epoch 4/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2884 - accuracy: 0.9117 - val_loss: 0.4492 - val_accuracy: 0.8848 Epoch 5/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2886 - accuracy: 0.9120 - val_loss: 0.4488 - val_accuracy: 0.8844 Epoch 6/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2881 - accuracy: 0.9124 - val_loss: 0.4485 - val_accuracy: 0.8850 Epoch 7/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2881 - accuracy: 0.9128 - val_loss: 0.4486 - val_accuracy: 0.8855 Epoch 8/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2876 - accuracy: 0.9132 - val_loss: 0.4505 - val_accuracy: 0.8854 Epoch 9/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2879 - accuracy: 0.9127 - val_loss: 0.4488 - val_accuracy: 0.8856 Epoch 10/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2874 - accuracy: 0.9120 - val_loss: 0.4512 - val_accuracy: 0.8852 Epoch 11/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2878 - accuracy: 0.9124 - val_loss: 0.4523 - val_accuracy: 0.8852 Epoch 12/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2875 - accuracy: 0.9128 - val_loss: 0.4525 - val_accuracy: 0.8844 Epoch 13/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2875 - accuracy: 0.9125 - val_loss: 0.4507 - val_accuracy: 0.8851 Epoch 14/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2870 - accuracy: 0.9133 - val_loss: 0.4501 - val_accuracy: 0.8853 Epoch 15/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2873 - accuracy: 0.9129 - val_loss: 0.4491 - val_accuracy: 0.8865 Epoch 16/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2872 - accuracy: 0.9129 - val_loss: 0.4505 - val_accuracy: 0.8850 Epoch 17/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9130 - val_loss: 0.4518 - val_accuracy: 0.8852 Epoch 18/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2868 - accuracy: 0.9122 - val_loss: 0.4503 - val_accuracy: 0.8857 Epoch 19/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2869 - accuracy: 0.9127 - val_loss: 0.4484 - val_accuracy: 0.8864 Epoch 20/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2863 - accuracy: 0.9126 - val_loss: 0.4487 - val_accuracy: 0.8860 Epoch 21/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9132 - val_loss: 0.4475 - val_accuracy: 0.8865 Epoch 22/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9126 - val_loss: 0.4490 - val_accuracy: 0.8859 Epoch 23/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2861 - accuracy: 0.9130 - val_loss: 0.4520 - val_accuracy: 0.8846 Epoch 24/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2860 - accuracy: 0.9125 - val_loss: 0.4514 - val_accuracy: 0.8854 Epoch 25/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2860 - accuracy: 0.9124 - val_loss: 0.4502 - val_accuracy: 0.8854 Epoch 26/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2851 - accuracy: 0.9137 - val_loss: 0.4513 - val_accuracy: 0.8853 Epoch 27/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2859 - accuracy: 0.9123 - val_loss: 0.4497 - val_accuracy: 0.8863 Epoch 28/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2855 - accuracy: 0.9142 - val_loss: 0.4493 - val_accuracy: 0.8859 Epoch 29/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2853 - accuracy: 0.9140 - val_loss: 0.4501 - val_accuracy: 0.8859 Epoch 30/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2855 - accuracy: 0.9137 - val_loss: 0.4506 - val_accuracy: 0.8861 Epoch 31/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2854 - accuracy: 0.9133 - val_loss: 0.4527 - val_accuracy: 0.8848 Epoch 32/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2851 - accuracy: 0.9133 - val_loss: 0.4516 - val_accuracy: 0.8854 Epoch 33/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2841 - accuracy: 0.9136 - val_loss: 0.4512 - val_accuracy: 0.8850 Epoch 34/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2848 - accuracy: 0.9132 - val_loss: 0.4507 - val_accuracy: 0.8865 Epoch 35/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2844 - accuracy: 0.9134 - val_loss: 0.4498 - val_accuracy: 0.8858 Epoch 36/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2848 - accuracy: 0.9132 - val_loss: 0.4489 - val_accuracy: 0.8860 Epoch 37/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2841 - accuracy: 0.9140 - val_loss: 0.4509 - val_accuracy: 0.8856 Epoch 38/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2843 - accuracy: 0.9138 - val_loss: 0.4496 - val_accuracy: 0.8860 Epoch 39/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9135 - val_loss: 0.4502 - val_accuracy: 0.8858 Epoch 40/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2840 - accuracy: 0.9139 - val_loss: 0.4508 - val_accuracy: 0.8857 Epoch 41/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2838 - accuracy: 0.9131 - val_loss: 0.4501 - val_accuracy: 0.8863 Epoch 42/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9139 - val_loss: 0.4510 - val_accuracy: 0.8856 Epoch 43/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9139 - val_loss: 0.4495 - val_accuracy: 0.8864 Epoch 44/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9133 - val_loss: 0.4489 - val_accuracy: 0.8864 Epoch 45/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2836 - accuracy: 0.9143 - val_loss: 0.4485 - val_accuracy: 0.8870 Epoch 46/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2831 - accuracy: 0.9140 - val_loss: 0.4503 - val_accuracy: 0.8867 Epoch 47/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2834 - accuracy: 0.9145 - val_loss: 0.4491 - val_accuracy: 0.8870 Epoch 48/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2832 - accuracy: 0.9140 - val_loss: 0.4508 - val_accuracy: 0.8861 Epoch 49/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2826 - accuracy: 0.9144 - val_loss: 0.4523 - val_accuracy: 0.8856 Epoch 50/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2826 - accuracy: 0.9134 - val_loss: 0.4498 - val_accuracy: 0.8862 Epoch 51/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2826 - accuracy: 0.9135 - val_loss: 0.4509 - val_accuracy: 0.8865 Epoch 52/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2827 - accuracy: 0.9144 - val_loss: 0.4516 - val_accuracy: 0.8859 Epoch 53/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2826 - accuracy: 0.9137 - val_loss: 0.4507 - val_accuracy: 0.8855 Epoch 54/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2818 - accuracy: 0.9136 - val_loss: 0.4521 - val_accuracy: 0.8861 Epoch 55/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2823 - accuracy: 0.9143 - val_loss: 0.4491 - val_accuracy: 0.8870 Epoch 56/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2820 - accuracy: 0.9142 - val_loss: 0.4509 - val_accuracy: 0.8865 Epoch 57/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2824 - accuracy: 0.9137 - val_loss: 0.4512 - val_accuracy: 0.8852 Epoch 58/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2821 - accuracy: 0.9145 - val_loss: 0.4511 - val_accuracy: 0.8859 Epoch 59/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2820 - accuracy: 0.9144 - val_loss: 0.4508 - val_accuracy: 0.8860 Epoch 60/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2819 - accuracy: 0.9143 - val_loss: 0.4519 - val_accuracy: 0.8860 Epoch 61/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9148 - val_loss: 0.4517 - val_accuracy: 0.8859 Epoch 62/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9151 - val_loss: 0.4502 - val_accuracy: 0.8870 Epoch 63/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2814 - accuracy: 0.9140 - val_loss: 0.4516 - val_accuracy: 0.8863 Epoch 64/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9144 - val_loss: 0.4531 - val_accuracy: 0.8856 Epoch 65/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2813 - accuracy: 0.9150 - val_loss: 0.4499 - val_accuracy: 0.8863 Epoch 66/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2812 - accuracy: 0.9143 - val_loss: 0.4512 - val_accuracy: 0.8871 Epoch 67/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2811 - accuracy: 0.9149 - val_loss: 0.4534 - val_accuracy: 0.8868 Epoch 68/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2809 - accuracy: 0.9151 - val_loss: 0.4513 - val_accuracy: 0.8873 Epoch 69/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2806 - accuracy: 0.9150 - val_loss: 0.4519 - val_accuracy: 0.8864 Epoch 70/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2809 - accuracy: 0.9145 - val_loss: 0.4524 - val_accuracy: 0.8867 Epoch 71/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2804 - accuracy: 0.9150 - val_loss: 0.4530 - val_accuracy: 0.8857 Epoch 72/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2805 - accuracy: 0.9145 - val_loss: 0.4511 - val_accuracy: 0.8866 Epoch 73/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2806 - accuracy: 0.9157 - val_loss: 0.4515 - val_accuracy: 0.8873 Epoch 74/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2798 - accuracy: 0.9147 - val_loss: 0.4524 - val_accuracy: 0.8865 Epoch 75/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2805 - accuracy: 0.9155 - val_loss: 0.4506 - val_accuracy: 0.8870 Epoch 76/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2799 - accuracy: 0.9142 - val_loss: 0.4510 - val_accuracy: 0.8863 Epoch 77/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9150 - val_loss: 0.4529 - val_accuracy: 0.8864 Epoch 78/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2795 - accuracy: 0.9148 - val_loss: 0.4526 - val_accuracy: 0.8863 Epoch 79/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2794 - accuracy: 0.9146 - val_loss: 0.4539 - val_accuracy: 0.8857 Epoch 80/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2793 - accuracy: 0.9151 - val_loss: 0.4517 - val_accuracy: 0.8860 Epoch 81/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9149 - val_loss: 0.4516 - val_accuracy: 0.8863 Epoch 82/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2791 - accuracy: 0.9157 - val_loss: 0.4505 - val_accuracy: 0.8871 Epoch 83/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2791 - accuracy: 0.9151 - val_loss: 0.4520 - val_accuracy: 0.8876 Epoch 84/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9151 - val_loss: 0.4544 - val_accuracy: 0.8864 Epoch 85/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2787 - accuracy: 0.9158 - val_loss: 0.4519 - val_accuracy: 0.8869 Epoch 86/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2785 - accuracy: 0.9154 - val_loss: 0.4519 - val_accuracy: 0.8874 Epoch 87/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2787 - accuracy: 0.9157 - val_loss: 0.4515 - val_accuracy: 0.8872 Epoch 88/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2785 - accuracy: 0.9154 - val_loss: 0.4537 - val_accuracy: 0.8863 Epoch 89/100 210/210 [==============================] - 2s 12ms/step - loss: 0.2787 - accuracy: 0.9149 - val_loss: 0.4522 - val_accuracy: 0.8876 Epoch 90/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2786 - accuracy: 0.9154 - val_loss: 0.4534 - val_accuracy: 0.8871 Epoch 91/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2780 - accuracy: 0.9157 - val_loss: 0.4518 - val_accuracy: 0.8876 Epoch 92/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2779 - accuracy: 0.9161 - val_loss: 0.4542 - val_accuracy: 0.8862 Epoch 93/100 210/210 [==============================] - 3s 15ms/step - loss: 0.2779 - accuracy: 0.9161 - val_loss: 0.4529 - val_accuracy: 0.8870 Epoch 94/100 210/210 [==============================] - 3s 14ms/step - loss: 0.2777 - accuracy: 0.9153 - val_loss: 0.4528 - val_accuracy: 0.8871 Epoch 95/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2779 - accuracy: 0.9154 - val_loss: 0.4526 - val_accuracy: 0.8877 Epoch 96/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2776 - accuracy: 0.9157 - val_loss: 0.4537 - val_accuracy: 0.8869 Epoch 97/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2773 - accuracy: 0.9164 - val_loss: 0.4556 - val_accuracy: 0.8863 Epoch 98/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2772 - accuracy: 0.9161 - val_loss: 0.4530 - val_accuracy: 0.8867 Epoch 99/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2776 - accuracy: 0.9148 - val_loss: 0.4523 - val_accuracy: 0.8882 Epoch 100/100 210/210 [==============================] - 3s 13ms/step - loss: 0.2774 - accuracy: 0.9158 - val_loss: 0.4564 - val_accuracy: 0.8859
In [167]:
predictions = image_classifier.predict_classes(X_test)
score = image_classifier.evaluate(X_test, y_test)
563/563 [==============================] - 2s 3ms/step - loss: 0.8765 - accuracy: 0.8162
Confusion Matrix and Classification Report¶
In [168]:
y_test = image_data['y_test'][:]
In [169]:
from sklearn import metrics
classifier_matrix = metrics.confusion_matrix(y_test, predictions, labels=[0,1,2,3,4,5,6,7,8,9])
cm_classifier = pd.DataFrame(classifier_matrix, index = [i for i in ["0","1","2","3","4","5","6","7","8","9"]],
columns = [i for i in ["Predict 0","Predict 1","Predict 2","Predict 3","Predict 4","Predict 5","Predict 6","Predict 7","Predict 8","Predict 9"]])
plt.figure(figsize = (15,15))
sns.heatmap(cm_classifier, annot=True,cmap="Blues",fmt='g')
Out[169]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555aafda00>
In [170]:
from sklearn import metrics
print(metrics.classification_report(y_test,predictions))
precision recall f1-score support
0 0.84 0.86 0.85 1814
1 0.86 0.82 0.84 1828
2 0.87 0.81 0.84 1803
3 0.76 0.78 0.77 1719
4 0.83 0.85 0.84 1812
5 0.80 0.80 0.80 1768
6 0.80 0.80 0.80 1832
7 0.83 0.86 0.84 1808
8 0.76 0.78 0.77 1812
9 0.81 0.79 0.80 1804
accuracy 0.82 18000
macro avg 0.82 0.82 0.82 18000
weighted avg 0.82 0.82 0.82 18000
In [171]:
accuracy_classifier = metrics.classification_report(y_test, predictions).split()[-2]
accuracy_percentage_classifier = float(accuracy_classifier)*100
In [172]:
print('The Accuracy of the Image Classifier is :',accuracy_percentage_classifier,'%')
The Accuracy of the Image Classifier is : 82.0 %
Saving the model¶
In [173]:
image_classifier.save('image_classifier.h5')
from keras.models import load_model
image_classifier_loaded = load_model('image_classifier.h5')